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. 2021 Jan 11;16(1):e0243049. doi: 10.1371/journal.pone.0243049

“You’re still worth it”: The moral and relational context of politically motivated unfriending decisions in online networks

German Neubaum 1,*, Manuel Cargnino 1, Stephan Winter 2, Shira Dvir-Gvirsman 3
Editor: Shang E Ha4
PMCID: PMC7799818  PMID: 33428628

Abstract

Political disagreements in social media can result in removing (i.e., “unfriending”) a person from one’s online network. Given that such actions could lead to the (ideological) homogenization of networks, it is pivotal to understand the psychological processes intertwined in unfriending decisions. This requires not only addressing different types of disagreements but also analyzing them in the relational context they occur. This article proposes that political disagreements leading to drastic measures such as unfriending are attributable to more deeply rooted moral dissents. Based on moral foundations theory and relationship regulation research, this work presents empirical evidence from two experiments. In both studies, subjects rated political statements (that violated different moral foundations) with regard to perceived reprehensibility and the likelihood of unfriending the source. Study 1 (N = 721) revealed that moral judgments of a political statement are moderately related to the unfriending decision. Study 2 (N = 822) replicated this finding but indicated that unfriending is less likely when the source of the morally reprehensible statement is relationally close to the unfriender and provides emotional support. This research extends unfriending literature by pointing to morality as a new dimension of analysis and offers initial evidence uncovering the psychological trade-off behind the decision of terminating digital ties. Drawing on this, our findings inform research on the homogenization of online networks by indicating that selective avoidance (in the form of politically motivated unfriending) is conditional upon the relational context and the interpersonal benefits individuals receive therein.

Introduction

Although social networking sites (SNS) are typically used to stay in contact with friends or to gather new acquaintances, it may also happen that some of these connections are terminated by the users. This so-called “unfriending” can occur for many reasons such as avoiding uninteresting, unimportant or inappropriate content posted by the unfriended person [e.g., 13]. Since SNS have also become venues of politically and civically relevant debates, research has started to focus on reasons for dissolving online ties, showing that 10–18% of users unfriended or unfollowed someone because of political disagreements [48].

Investigating people’s unfriending behavior in virtual networks is becoming increasingly relevant because the termination of digital connections has consequences not only on an interpersonal but also on a political level. If users tend to unfriend people when encountering political disagreements, there is a risk that their networks become ideologically homogenous, which could lead to the formation of echo chambers [915]. In this context, unfriending or blocking a source in one’s network could be interpreted as a manifestation of political intolerance [16] in the sense of post hoc banning content (e.g., suggested news articles or user-generated comments) that challenges one’s personal political viewpoints.

This research focuses on unfriending decisions that are motivated by identifying political dissents between oneself and others and argues that–in many cases–political disagreements are rooted in moral disagreements, manifesting themselves in (perceived) discrepancies of fundamental moral intuitions between the unfriender and the unfriended person [1719]. A political statement on Facebook (FB) arguing, for instance, that it is not a good idea to implement a women’s quota in companies or that it could be dangerous to welcome a large number of refugees in one country, consequently, could be interpreted as violating the moral principles of equality and charity. This perceived violation, then, could lead to the assessment of irreconcilable moral differences and, therefore, to the decision of breaking the digital bond with the source of this statement. Perceived moral violations, though, might not be perceived as equally wrong in every relational context: Previous works suggested that some expressions or actions could be judged as immoral in some relational constellations (e.g., in interactions with relationally distant ties such as acquaintances) but not in others (with relationally close ties such as family members; [1820].

To address the complexity of unfriending decisions, it seems crucial to not only consider the moral roots of political disagreements but also the relational context in which these occur. While previous works have made explicit connections between morality and politics [19, 21, 22] as well as political disagreements and unfriending [5, 7, 23], this research offers a theoretical integration of those lines of inquiry and takes the examination of this phenomenon one step further by incorporating the interpersonal context. More specifically, we argue that moral dissents through political statements will lead to different outcomes depending on who is the source of the statement and what benefits this person has to offer. Based on two empirical studies, this research investigates (a) the moral domains in which (perceived) violations in the form of political statements lead to terminating digital ties, (b) the relational contexts in which moral violations entail unfriending decisions, and (c) the potential social rewards (i.e., social support) that might inhibit users to unfriend or unfollow someone despite moral dissents. With this, the current work offers a more nuanced theorizing of social media users’ inner calculus of which factors motivate and prevent them from actively intervening in the political structure of their online network.

Politically motivated unfriending behavior

Social media research has started to focus on the affordance of unfriending and blocking someone in one’s personal digital network especially in order to find out (a) who are the unfrienders, (b) who are the unfriended, and (c) why people unfriend others [2, 2426]. Given the contemporary discussion of echo chambers and how social media contribute to creating such like-minded cocoons online, politically motivated unfriending behavior and its conditions have been linked to the notion of users as “active homogenizers” of their social media environments [4, 5, 7, 23].

Who are the unfrienders?

Characterizing politically motivated unfrienders, studies found that unfriending behavior is more likely among those who use social networking services more intensely and those who have more friends on these platforms. This suggests that both factors come along with a greater likelihood to encounter political disagreements as well as a greater literacy in terms of knowing how to actively shape one’s network [5, 8, 23]. Studies also found that especially those who have greater political interest, are ideologically extreme, and less supportive of free speech tend to terminate digital connections because of political disagreements [4, 5, 7, 23]. While these findings clearly suggest that any form of political involvement predicts the post hoc filtration of one’s network, it seems that political orientation has no clear predictive value: There is evidence for both, left-leaning [4, 27] and right-leaning [5] users being susceptible to unfriend others due to political dissents.

Who are the unfriended?

Concerning who is more likely to be unfriended, research consistently revealed the fragility of weak ties: When users encounter a political disagreement online, they are more likely to unfriend the source of this political statement when this person is not relationally close to the unfriender, manifested through, for instance, a lack of offline interaction [2, 5, 28]. At least two explanations may account for this consistent finding: First, relationally closer ties could be politically more similar to oneself than relationally distant ties [29]. Second, relationally distant ties are more dispensable because they do not offer the kind of social rewards that relationally closer ties offer [30].

Why do people unfriend?

Consistently, there is a set of reasons that individuals mention when it comes to explain their political unfriending: People tend to dissolve digital relationships in a political context when they find that the unfriended publishes political content too frequently, expresses him/herself in an offensive or uncivilized manner or voices a political stance with which the unfriender disagrees [4, 5, 31]. The present work focuses on political disagreement as a motive for political unfriending and intends to uncover the psychological mechanisms at work when political dissents come up in online networks. In this regard, John and Gal [32] proposed that social networking platforms represent “personal public spheres” in which individuals do not necessarily adhere to collectively shared values of the public sphere (e.g., tolerance toward opposing views) but to norms that govern their personal sphere (e.g., deciding over one’s social interactions). This interwovenness of different spheres in users’ lives may consequently facilitate avoidance and detachment compared to political communication in other contexts different from social media. Similarly, Schwarz and Shani [33] trace unfriending back to the circumstance that SNS bring together individuals from different social sub-networks of an individual. These networks normally are governed by different sets of social norms (e.g., norms regulating to not discuss politics or to adhere to civil modes of communication). As these norms are blurred on SNS, such environments expose users to social information they would not have come across otherwise, eventually leading users to re-evaluate (and potentially dismiss) their online relationships. Further evidence focused on the psychological mechanisms underlying unfriending decisions in such situations: Following the concept of cognitive dissonance [34] which suggests that individuals feel uncomfortable when they encounter information contradicting their own cognitions (e.g., knowledge or beliefs), Jeong, Zo, Lee, and Ceran [35] examined the psychology behind encountering cross-cutting information online. According to their results, the more individuals use social media, the more likely they are to encounter cross-cutting viewpoints which, in turn, is positively associated with a subjective state of mental discomfort. Users try to end this psychologically uncomfortable state by actively modifying their social environments (e.g., disconnecting from those who disagree).

To conclude, on a psychological level, unfriending decisions appear to be rooted in cognitive dissonance regarding political viewpoints. However, the question arises whether the state of psychological discomfort emerges from the mere inconsistency between two political opinions or by the assessment that there is a divergence of more deeply rooted cognitions, for instance, moral intuitions. In the present work, we argue that political disagreements that cause unfriending behavior can be traced back to moral disagreements.

The moral basis for unfriending decisions

Moral disagreements can be understood as differences in people’s valuing of distinct moral foundations. According to moral foundations theory [17, 18], people’s moral judgments can be structured using five different domains: (1) Harm/care as the ideal of protecting and taking care of others, (2) fairness as the principle of justice and a fair distribution of resources, (3) loyalty as the ideal of standing with the ingroup (such as family but also one’s nation), (4) authority as the ideal of respecting legitimate authorities, and (5) purity as the principle to avoid happenings that “contaminate” humanity or the earth. Previous research showed that people’s moral foundations predict their political orientation: For instance, fairness and care positively predict a political left-wing orientation [21, 22], while loyalty, authority, and purity are related to a political orientation toward the right [30]. When exploring these moral intuitions in different societies, scholars found empirical evidence for a two-factor structure: Accordingly, the foundations harm/care and fairness are represented in one factor called “individualizing or liberal intuitions,” while the foundations purity, loyalty, and authority were grouped to the factor “binding or conservative intuitions” [e.g., 2932, 36].

According to this line of inquiry, human beings use their individual set of moral foundations to evaluate actions or expression as right or wrong [37]. This set is also used when assessing the moral nature of a political debate or its related decision: Empirical studies indicated that individuals with stronger individualizing foundations prefer a more egalitarian society, while individuals with stronger binding foundations are more inclined to see the world as dangerous, asking for more social control [3840]. Following this logic, when users argue about political issues on SNS, discrepancies not only in their political views [4, 23] but also in their prioritization of moral foundations become identifiable [41]. While simple disagreements on political issues may not be sufficient for terminating a digital relationship, dissents in deeply rooted moral views may be.

The relational context of moral judgments

Not every disagreement, though, provokes the same reaction [42]. The relational context of a social interaction, for instance, in terms of interpersonal closeness has been proposed to be “inherently important in understanding variability in moral judgment” [19, p. 1]. Since different relationships activate different moral motives and different standards of evaluation, what might be acceptable in one relationship, can be wrong in another [43]. Previous research showed that judgments of moral violations vary significantly across different relational settings [43, 4447]. For instance, violations of the principle of fairness are perceived as least wrong when they happen in a relational context that is marked by communal sharing (e.g., kinships), since in these kinds of relationships people tend to take freely from each other without paying attention to an equal distribution of resources [43].

In social media communication, the kind of relationship is often defined by the type and the extent of social support users receive from an online tie [30, 48, 49]. According to the multidimensional view of social support [50], emotional support represents the extent to which ties offer a person compassion and affection, informational support refers to the extent to which ties offer useful information (e.g., recommendations for restaurants), and instrumental support reflects the provision of tangible aid in the form of immaterial help or material resources. These types of social support are likely factors that users take into account when deciding whether to delete a person from one’s online network [30]. In face of a political statement on SNS that violates a personally important moral principle, users may engage in a psychological trade-off: When unfriending this person, they would be able to reduce the immediate (and potentially future) cognitive dissonance due to the moral discrepancy. At the same time, individuals have a fundamental need to belong and to maintain interpersonal relationships, even if these relations are detrimental [51]. Dissolving a digital relationship could entail interpersonal conflicts, violate social norms, and lead the unfriender to lose different forms of social support or other benefits the unfriended provides [51, 52]. Especially close relationships have been consistently found as important sources of social support, leading to increased levels of well-being and mental health [5355]. Therefore, individuals may be more reluctant to jeopardize these benefits and gratifications when the political statement they disagree with comes from a close tie–even if they realize, based on the political statement, that there are moral discrepancies (that induce cognitive dissonance) between them and the close friend. The present work is dedicated to address this complex inner weighing that precedes unfriending decisions in light of moral discrepancies. From a theoretical point of view, this trade-off appears to be governed by two important psychological forces: one’s need to reduce states of cognitive dissonance but also the need to belong and to receive social support.

The present research

Drawing on this theoretical background, the present work is intended to not only replicate previous findings on individual differences fostering political unfriending behavior but also point to situations in which politically motivated unfriending is more likely to occur. To this end, this work proposes a new link between political disagreements, moral judgments, and the evaluation of interpersonal benefits (such as social support) as an explanation for the outcome of an unfriending decision.

Replicating previous research on the phenomenon of unfriending [5, 7, 23], this work expects that unfriending or blocking someone due to a political disagreement is more prevalent among those who use Facebook more frequently (Hypothesis 1), have more Facebook friends (Hypothesis 2), are politically extreme (Hypothesis 3), and are more politically interested (Hypothesis 4). Taking the interpersonal context into account, this study intends to replicate previous findings on the role of relational closeness [2, 5] by hypothesizing that, given a political disagreement, SNS users are more likely to unfriend or block relationally distant compared to relationally close ties (Hypothesis 5).

Assuming a more nuanced view on the nature of a political disagreement, the present research draws on the notion that political debates are often accompanied by moral judgments [21, 38, 39]. This leads to the assumption that the likelihood of unfriending or blocking someone because of their political expression is associated with the extent to which the unfriender perceives this statement to be a moral violation in the sense of interpreting it as reprehensible (Hypothesis 6). However, given that the prioritization of moral foundations varies across individuals and societies [22, 56, 57], not all types of perceived moral violations might be perceived as equally wrong and, therefore, irreconcilable. Consequently, it is asked on an explorative level, to what extent are some moral violations in the form of political comments on SNS judged as more wrong than others (Research Question 1) and for which moral foundations are violations in the form of a political comment on SNS most likely to entail unfriending/blocking behavior (Research Question 2).

Yet, people may judge the same moral trespass differently depending on the nature of relationship to the violator [43]. Due to the lack of evidence related to the effect of relational contexts on the perceptions of moral violations in the form of political comments, it is asked whether SNS users judge a moral violation as more or less wrong depending on the relational closeness to its source (Research Question 3). It seems conceivable that the relational context affects the likelihood of unfriending or blocking a violator of moral foundations because of the social gratifications that come with increasing relational closeness [30]. More specifically, receiving social support from an online tie might outweigh the perceived moral wrongness of a political statement and, thus, increase the wish to maintain the (virtual) relationship. In this case, receiving social support could explain why people are more reluctant to unfriend or block a person when they are a close tie. It is expected that the effect of relational closeness on the likelihood of unfriending/blocking someone is mediated by received social support from this person (Hypothesis 7). An overview of hypotheses and research questions is given in A1 Fig in S1 File.

Study 1

Objectives

The objectives of Study 1 were to replicate previous findings about who is more likely to unfriend or block someone because of political disagreements (H1-H4) and provide initial evidence for the connection between moral evaluations of a political statement and the decision of unfriending someone (H6, RQ1, and RQ2).

Method

The questionnaire, stimulus material, data, and supplementary analyses of Study 1 are documented as S2 File.

Sample

A total of 721 adult Facebook users (467 female, 252 male, 2 no specification) whose age ranged from 18 to 75 (M = 37.66, SD = 13.35) were recruited by a non-commercial German online panel. Participants were invited to a study dealing with “friendships on Facebook.” Most participants (91.4%) had at least a university entrance qualification and used Facebook daily (56.9%) or once or multiple times per week (23.9%). No incentive was given to participants. More information about participants’ demographics in comparison to German Facebook/SNS users is displayed in A2 and A3 Figs in S1 File. While the distribution of age groups in our sample is comparable to the distribution among German Facebook users, this comparison also reveals that there is an overrepresentation of female participants in our sample.

Experimental design and stimulus

This study employed a within-subjects experimental design in which each participant had to rate five different written scenarios. As stimuli, we developed 15 scenarios of someone (i.e., a non-specified Facebook friend of the participant) making a political statement that violates one of the moral domains proposed by the moral foundations theory [18]. The five scenarios each participant saw, were randomly taken from this set of 15. This procedure also ensured the randomization of presentation order for each participant. The instruction was “You are about to read five short scenarios about what people from your Facebook friends list could post. Please read carefully these scenarios and imagine a friend of yours would post something like that.” Subsequently, subjects read the scenario, for example: “Imagine a Facebook friend of yours repeatedly publishes status updates on the topic of war. In these posts, this person writes that sometimes it is reasonable to wage a war, even when innocent people get harmed or killed. This is necessary to solve political conflicts.” For each moral foundation, we used three political topics (see A5 Table in S1 File). The matching of political topics with moral foundations was based on previous research connecting different moral dimensions to politically relevant issues [39]. As a manipulation check, subjects subsequently had to indicate to what extent they think this person violated each of the five moral foundations with this political statement. On a five-point scale, they had to state whether this Facebook friend “…endangers the security and well-being of other people” (violation of harm/care), “…fosters inequality and disproportionality among human beings” (violation of fairness), “…shows a lack of loyalty toward his/her own group (family, friends, countrymen)” (violation of loyalty), “…shows a lack of respect for authority” (violation of authority), or “… jeopardizes the purity of the world or humanity” (violation of purity). As can be seen in A6 Table in S1 File, the intended manipulations appeared to be largely successful.

Participants gave their consent through the online survey system. This procedure was approved by the ethics committee of the division of Computer Science and Applied Cognitive Sciences at the Faculty of Engineering, University of Duisburg-Essen (May 08, 2017).

Measures

The psychometric properties of this study’s central measures are reported in A7 Table in S1 File.

Past unfriending/blocking behavior. Based on previous studies on political unfriending [5, 6], we asked subjects if they ever unfriended or blocked a Facebook friend and, if so, whether political reasons are responsible for this decision: “Have you ever (a) unfriended / (b) blocked a person from/of your Facebook friends list because of the following reasons?” “This person…” (1) “posted too frequently about politics,” (2) “posted something political with which I disagreed,” (3) “argued about politics with me or with someone I know,” (4) “disagreed with something political I posted,” (5) “posted something political that offended me or friends of mine,” (6) “other reason.” Participants responded to each item in a dichotomous response format (yes/no).

Perceived wrongness. For each of the five scenarios, subjects rated on a five-point scale to what extent they found this statement to be wrong (based on [43]).

Likelihood of unfriending. Participants also indicated how likely it is that they unfriend this person on Facebook because of posting such statements (on a five-point scale from 1 = very unlikely to 5 = very likely).

Further measures. Subjects’ frequency of Facebook use was measured on a seven-point scale (1 = never to 7 = every day). They were also asked to type in how many Facebook friends they had. One item was used each for measuring political interest (1 = no interest at all to 5 = high interest) and political orientation (1 = left to 10 = right), while the latter was used to calculate political extremity by coding those at both scale end points as high extremity and the middle point as low extremity. We also assessed participants’ personal moral foundations (based on the Moral Foundations Questionnaire; [46, 47]), reaching acceptable reliabilities for individualizing (12 items: Cronbach’s α = .77) and binding foundations (18 items; Cronbach’s α = .84).

Results

77.4% of subjects stated that they at some point unfriended someone on Facebook. Similarly, 67.4% blocked a FB friend at least once. In terms of political reasons for this behavior, 22.3% indicated that they unfriended (23.9% blocked) someone because this person expressed something political with which they did not agree. Moreover, 8.9% unfriended (9.2% blocked) a FB friend because this person posted something political that was offensive to subjects or their friends, 2.5% unfriended (4.7% blocked) someone because this person posted too often about politics, 2.2% unfriended (1.8% blocked) a FB tie because this person disagreed with something political the subject had posted, while 0.7% unfriended (1.4% blocked) someone because the unfriended person argued about politics with the participants or someone they knew.

H1-H4 were tested by a logistic regression analysis considering previous unfriending behavior because of a political disagreement as dichotomous dependent variable, χ2 (5) = 38.57, p < .001; R2 (Cox & Snell) = .05, R2 (Nagelkerke) = .08. As can be seen in Table 1, results support H1 showing that the more frequent people used FB the more likely were they to unfriend someone because of a political disagreement. Moreover, higher political interest (supporting H4) and a more left-leaning political orientation were positively associated with previous unfriending behavior. H2 (i.e., the number of FB friends is positively associated with unfriending/blocking) and H3 (i.e., political extremity is positively related to unfriending/blocking) were not supported by the data.

Table 1. Logistic regression for previous unfriending behavior (Study 1 & Study 2).

Study 1 Study 2
95% CI for Odds Ratio 95% CI for Odds Ratio
Variables B (SE) Wald Lower Odds Ratio Upper B (SE) Wald Lower Odds Ratio Upper
Frequency of FB Use 0.36 *** (0.10) 13.95 1.19 1.43 1.73 0.21* (0.10) 3.88 1.00 1.23 1.51
Number of FB friends 0.00 (0.00) 2.27 1.00 1.00 1.00 0.00 (0.00) 0.02 0.99 1.00 1.00
Political Interest 0.29** (0.10) 7.92 1.09 1.34 1.64 0.21* (0.10) 4.12 1.01 1.23 1.51
Political Ideology -0.16* (0.08) 4.67 0.73 0.85 0.96 -0.15** (0.05) 9.88 0.79 0.86 0.95
Political Extremity -0.14 (0.12) 1.34 0.69 0.87 1.10 0.10 (0.07) 2.00 0.96 1.10 1.26
Constant -3.74 (0.92) 16.52 0.02 -2.43** (0.84) 8.36 0.09

Note: 0 = did not unfriend because of political disagreement, 1 = unfriended someone because of political disagreement

Study 1: N = 721; Study 2: N = 822

***p < .001

**p < .01

*p < .05

Since each participant viewed a total of five hypothetical moral violation scenarios, we calculated the mean for the likelihood of unfriending and for the extent to which the moral violation was perceived as wrong. Overall, subjects were moderately likely to unfriend someone across all five scenarios, M = 2.73, SD = 1.04, while they estimated moral violations as moderately reprehensible, M = 3.38, SD = 0.82. A correlation analysis (based on Spearman’s rho; see Table 2) supported H6 and indicated that–across all five scenarios–the extent to which participants found the moral violation in the form of a political statement on Facebook wrong was positively associated with the likelihood of unfriending this person. This relationship was moderate in magnitude.

Table 2. Bivariate correlations between measures of Study 1.

  1. 2. 3. 4. 5. 6. 7. 8.
1. Unfriending Likelihood (Mean of 5 scenarios) -
2. Frequency of FB Use -.01 -
3. Number of FB Friends -.10* .36** -
4. Political Interest .01 -.04 -.00 -
5. Political Ideology (1 = left / 10 = right) .03 -.04 -.05 -.17** -
6. Political Extremity -.12** .03 .06 .19** -.61** -
7. Perceived Wrongness of Message (Mean of 5 scenarios) .69** .01 .01 -.03 .01 -.10** -
8. Personal Individualizing Foundation .20** .00 -.00 .08* -.26** .13** .25** -
9. Personal Binding Foundation .19** -.00 -.14** -.11** .43** -.25** .24** .13**

**p < .01

* p < .05

The correlation analysis further revealed small negative associations between likelihood of unfriending with (a) number of Facebook friends and (b) political extremity, suggesting that the more Facebook friends subjects had and the more politically extreme they were, the less likely were they to unfriend (see Table 2). Moreover, this analysis showed that the stronger participants had individualizing and binding moral foundations themselves, the more likely were they to unfriend someone who violated any moral foundation in a political statement (see Table 2). These correlations between unfriending and personal moral foundations, though, were small.

Addressing RQ1 and RQ2, a MANOVA with moral foundation as independent variable and perceived wrongness as well as likelihood of unfriending as dependent variables revealed a main effect of moral foundation on perceived wrongness of the statement, F(4,3600) = 100.10, p < .001, ηp2 = .10, and the likelihood to unfriend the person who made the statement on FB, F(4,3600) = 44.28, p < .001, ηp2 = .05; multivariate effect: Wilks‘λ = .90, F(8,7198) = 49.44, p < .001, ηp2 = .05. Post hoc comparisons with Bonferroni correction showed that violations in both harm/care and fairness were perceived as equally wrong (being perceived as most wrong), followed by the domain of purity, authority, and loyalty (see Fig 1). The pattern for the likelihood of unfriending is the same: When others violate harm/care and fairness in a statement on SNS, users see the greatest likelihood to unfriend them, followed by violations in purity, authority, and loyalty (see Fig 1).

Fig 1. Effects of scenario manipulation on perceived wrongness and unfriending likelihood in different moral domains/ means and standard deviations in parentheses (Study 1).

Fig 1

Note. Different subscripts in a row indicate significant differences with p < .05 using Bonferroni-corrected post hoc comparisons.

Discussion

Study 1 presented findings that replicate previous results on who is more likely to unfriend or block someone because of a political disagreement on Facebook [5, 7], that is, those who use this SNS frequently and those who are politically interested. Moreover, Study 1 is the first one to offer a link between political statements on SNS and potential unfriending behavior by indicating that moral judgment of this statement is a driver of the unfriending decision. In a more nuanced analysis, it seems that violations in individualizing foundations are seen as more reprehensible, increasing the likelihood of unfriending relative to violations in binding foundations which may reflect the prioritizing of individualizing moral foundations in liberal western societies [22, 57].

Study 2

Objectives

Although Study 1 provided initial evidence on the importance of moral judgments in the face of political statements in social media, it did not take the relational context of the unfriending decision into account. Do people remove someone who violates individualizing intuitions but to whom they have a close relationship as likely as they remove a distant tie? Is there a moral violation that is acceptable in one relationship but not in the other? Study 2 is intended to examine the interaction patterns between relationship type and moral foundation (H5, H6, RQ1, RQ2) and offer further insights into how interpersonal networks are managed online based on moral motives (RQ3, H7).

Method

The questionnaire, stimulus material, data, and supplementary analyses of Study 2 are archived as S2 File.

Sample

Participants were 822 adult Facebook users (395 female, 427 male) recruited by a German online access panel indicating that this study examines “friendships on the platform Facebook.” Respondents’ age ranged from 18 to 85 (M = 43.65, SD = 14.46) and, in terms of highest education degree, 34.1% finished middle school, 26.5% had a university entrance qualification, 22.9% finished college, while 14.4% had a lower educational level. Most participants used Facebook daily (56.9%) or at least once or multiple times a week (25.5%). As an incentive, participants received digital points that were equivalent to 0,75 EURO for the completion of the experiment. A comparison of the demographics of this sample and German Facebook/SNS users in general is displayed in A8 and A9 Figs in S1 File.

Experimental design and stimulus

Study 2 featured a 3 (relational closeness: non-close vs. medium-close vs. close) x 2 (moral foundation of the violation: individualizing vs. binding) between-subjects experimental design. In this experiment, subjects were exposed to a written scenario in which they first had to think about a particular Facebook friend and then imagine that this Facebook friend posted a political statement which was displayed during the experiment.

The instruction related to the Facebook friend included the manipulation of relational closeness by using an adaptation of the Inclusion of Other in Self Scale [58]. In this scale, the self and another person are represented by pairs of circles varying in their distance from each other (non-close, medium-close, close). Depending on experimental condition, participants saw one pair of circles and were asked to think of their relationship to a Facebook friend which best represents the relational distance displayed by the circles. After this presentation, subjects had to indicate how much social support they received from this friend and how satisfied they are with the relationship.

To increase generalizability, each type of moral foundations was operationalized by two different political statements that violated this foundation: While the individualizing foundation was operationalized by the political topics of refugees and famine (representing the intuition care/harm), the binding foundation was operationalized by the political issues of the integrity of the national government and the police (representing the intuition authority). Each participant viewed only one political statement (shown as a Facebook status update; see https://osf.io/ptgmq/) which included a violation of the corresponding moral intuition. For instance, the violation of care/harm for the topic of refugees was: “I think, you don’t compulsorily need to take refugees from war regions in Germany. Regardless of their suffering, it is not necessarily the responsibility of Germany to help out in this case” and the violation of authority for the topic of the police’s integrity was: “I think, the German police is corrupt and biased. You can only despise the German police.” Participants were instructed to imagine that the Facebook friend they thought of beforehand repeatedly published postings like that on his/her Facebook page.

After viewing the political statement, subjects were asked to state on a five-point scale to what extent this status update violated either individualizing (two items; Spearman Brown coefficient = .85) or binding (three items; Cronbach’s α = .80) foundations. A manipulation check revealed that statements about refugees and famine were perceived to violate individualizing foundations, M = 3.02, SD = 1.17, to a greater extent, t(820) = -2.17, p = .030, Cohen’s d = -0.15, than the statements about the government and the police, M = 2.85, SD = 1.09. The latter, in turn, were rated as violating binding foundations, M = 2.86, SD = 0.99, to a greater extent, t(820) = 4.75, p < .001, Cohen’s d = 0.33, than statements about refugees and famine, M = 2.53, SD = 0.99.

Participants expressed their consent through the online survey system. This procedure was approved by the ethics committee of the division of Computer Science and Applied Cognitive Sciences at the Faculty of Engineering, University of Duisburg-Essen (July 17, 2018).

Measures

The following measures were used in Study 2. Please note that psychometric properties of these measures are displayed in A11 Table in S1 File.

Social support. When participants had to think of a specific Facebook friend, they were asked to describe this person along different criteria. Based on [30] and [48], we measured social support provided by this person on three levels. Participants stated (on a five-point scale) how likely it is that the Facebook friend they thought of would provide them with (a) informational support (three items, e.g.,; “helpful information (e.g., job openings)” and “useful tips (e.g., restaurant recommendations)”; Cronbach’s α = .85), (b) emotional support (three items, e.g., “strengthening your self-worth” and “care for you”; Cronbach’s α = .92), and instrumental support (three items, e.g., “offering material (e.g., lending of technical devices)” and “non-material help (e.g., helping for a move)”; Cronbach’s α = .93).

Perceived wrongness. Analogously to Study 1, participants were asked to state how wrong they find the stimulus political statement to be on a five-point scale from 1 = not at all reprehensible to 5 = very reprehensible.

Likelihood of unfriending/blocking. Participants indicated how likely it was for them to (a) unfriend and (b) block the Facebook friend for their behavior on a five-point scale (1 = very unlikely, 5 = very likely).

Past unfriending/blocking behavior. After being presented with the hypothetical scenario, subjects stated whether they ever unfriended/blocked someone on Facebook and if yes, whether different political reasons applied (e.g., “posted too much about politics”). The key reason this research was interested in was whether participants unfriended/blocked someone because they disagreed with the political statement the person posted on Facebook. In cases wherein this reason applied, subjects indicated the relational closeness to this person on a seven-point scale based on the Inclusion of Other in Self Scale ([48]; ranging from 1 = no overlap to 7 = most overlap). Moreover, we measured three types of social support (informational, emotional, instrumental; one item each) subjects received from the unfriended/blocked person as well as the satisfaction with the relationship (one item) with this person (both before being unfriended/blocked). Subsequently, subjects stated to what extent the political statements of the unfriended/blocked person violated certain moral intuitions on a five-point scale (five items covering individualizing and binding foundations).

Further measures. To address H1-H4 and replicate previous findings on the predictors of politically motivated unfriending and blocking on Facebook, subjects indicated how frequently they used FB on a seven-point scale from 1 = never to 7 = every day as well as how many friends they had on this platform. We also measured participants’ political interest (one item; 1 = no interest at all, 5 = high interest) and political orientation (one item: 0 = left, 11 = right). The latter was also recoded and used as an index of political extremity in which the middle point of political orientation represented low extremity while both scale end points reflected high extremity. Moreover, participants had also to state their personal moral foundations (based on the Moral Foundations Questionnaire; [57, 59]), with the reliabilities for individualizing foundations (12 items), Cronbach’s α = .83, and binding foundations (18 items), Cronbach’s α = .84.

Results

In terms of general prevalence of unfriending or blocking behavior, 71.2% of participants indicated that they unfriended or blocked someone on Facebook at least once. 20.4% stated that they unfriended or blocked someone because this person posted something political with which the participants disagreed. Further political reasons were: The unfriended/blocked person (a) posted something about politics that offended the participant or his/her friends (9.4%), (b) posted too frequently about politics (6.4%), (c) disagreed with something political the participant posted (3.8%), or (d) argued about politics with the participants or someone they knew (2.8%).

To address H1-H4, a logistic regression with previous unfriending/blocking behavior because of a political disagreement as dichotomous dependent variable was conducted, χ2 (5) = 28.01 p < .001; R2 (Cox & Snell) = .05, R2 (Nagelkerke) = .07. Results are shown in Table 1. Supporting H1, the analysis showed that more frequent FB users were more likely to unfriend someone because of a political disagreement. Likewise, the more politically interested (H4) and the more left-leaning participants’ political orientation was, the higher was the likelihood for them to unfriend someone because of a political disagreement. In contrast, the number of FB friends (H2) and political extremity (H3) were no significant predictors of unfriending.

Regarding hypothetical unfriending and blocking decisions, participants, overall, indicated a medium likelihood of unfriending (M = 2.64, SD = 1.25) and blocking (M = 2.64, SD = 1.29) the Facebook friend in response to a moral violation (which in turn was perceived as moderately reprehensible, M = 3.20, SD = 1.17). H5, RQ1, and RQ2 were tested with a MANOVA including relational closeness and moral foundation as fixed factors and perceived wrongness of moral violation, likelihood of unfriending, and blocking as dependent variables (the multivariate effects are displayed in A12 Table in S1 File). The analysis revealed a small main univariate effect of relational closeness on the likelihood of unfriending, F(2,816) = 7.05, p = .001, ηp2 = .02, and blocking, F(2,816) = 5.45, p = .004, ηp2 = .01. Supporting H5, descriptive data showed that subjects were less likely to unfriend a relationally close source of moral violation, M = 2.44, SD = 1.25, than medium-close, M = 2.66, SD = 1.20, and non-close sources, M = 2.84, SD = 1.28 (see Fig 2). The same pattern was found for blocking close, M = 2.46, SD = 1.30, medium-close, M = 2.63, SD = 1.27, and non-close sources, M = 2.82, SD = 1.29 (see Fig 3). Post hoc comparisons with Bonferroni correction for both dependent variables revealed that the likelihood for unfriending and blocking differed significantly between close and non-close sources of moral violation, punfriend = .001; pblock = .003, while the other levels of relational closeness did not differ among each other. The findings related to H5 are additionally corroborated by descriptive statistics related to participants past unfriending behavior: Participants who unfriended someone due to political disagreements in the past (n = 168) had to indicate the relational closeness to the previously unfriended based on the Inclusion into the Self Scale in which relational closeness is higher when there is a strong overlap of circles. Among the political unfrienders, 53.6% stated that there was no relational overlap between them and the unfriended, 29.2% indicated little overlap, 10.7% some overlap, 2.4% equal overlap, 2,4% very strong overlap, and 1.8% most overlap. Thus, politically motivated unfriending actions are most likely when the unfriended is a non-close tie.

Fig 2. Interaction effects of relational closeness and moral foundations on likelihood of unfriending.

Fig 2

Fig 3. Interaction effect of relational closeness and moral foundations on likelihood of blocking.

Fig 3

As suggested by H6, the likelihood of unfriending and blocking someone was positively associated with the perceived wrongness of the moral violation included in the status updates. Table 3 shows that these relationships were moderate.

Table 3. Bivariate correlations between measures of Study 2.

  1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15.
1. Unfriending Likelihood -
2. Blocking Likelihood .84** -
3. Frequency of FB Use -.05 -.05 -
4. Number of FB Friends .04 .05 .31** -
5. Political Interest .04 .04 .03 -.03 -
6. Political Ideology (0 = left / 10 = right) -.18** -.17** -.06 -.02 -.05 -
7. Political Extremity .00 .00 .06 .08* .24** -.19** -
8. Perceived Wrongness of Status Update .60** .57** -.03 .10** .08* -.16** -.01 -
9. Perceived Violation of Individualizing Foundation .62** .57** -.01 .08* .04 -.16** -.03 .68** -
10. Perceived Violation of Binding Foundation .59** .55** -.07* .05 -.03 -.07 -.07* .61** .74** -
11. Informational Support -.09* -.09** .07* .06 .09* -.00 .01 .03 .03 .00 -
12. Emotional Support -.16** -.14** .10** .04 .06 -.00 -.00 -.04 -.05 -.05 .78** -
13. Instrumental Support -.12** -.11** .07* -.00 .06 -.02 -.01 -.02 -.03 -.00 .74** .83** -
14. Relationship Satisfaction -.18** -.16** .11** .02 .01 -.02 .00 -.01 -.05 -.10** .61** .74** .69** -
15. Personal Individualizing Foundation .06 .05 .04 -.07 .21** -.23** .04 .10** .09** .05 .06 .08* .11** .08* -
16. Personal Binding Foundation -.01 -.04 -.05 -.15** .11** .23** -.07 -.03 -.01 .15** .15** .12** .15** .05 .37**

**p < .01

* p < .05

Focusing on RQ1 and RQ2, the MANOVA did not indicate any main effects of moral foundation on perceived wrongness of moral violation, F(1,816) = .87, p = .351, ηp2 = .00, likelihood of unfriending, F(1,816) = .08, p = .781, ηp2 = .00, or blocking, F(1,816) = 1.37, p = .243, ηp2 = .00, revealing that for participants it did not make a difference whether individualizing (i.e., care) or binding (i.e., authority) moral foundations were violated. Correlation analyses revealed that perceiving violations in both individualizing and binding foundations were moderately associated with unfriending and blocking this person (see Table 3). When asked about past behavior, those who unfriended or blocked someone because of a political disagreement (n = 168) stated that the messages that led to the unfriending/blocking decision violated individualizing foundations, M = 4.00, SD = .91, in a more emphasized manner than binding foundations, M = 3.21, SD = .90, t(167) = 10.55, p < .001, Cohen’s d = 0.88.

Addressing RQ3, the MANOVA with relational closeness and moral foundation as fixed factors (see above) did not yield any interaction effects of those independent variables on perceived wrongness, F(2,816) = 2.34, p = .097, ηp2 = .01, likelihood of unfriending, F(2,816) = .69, p = .502, ηp2 = .00, and blocking, F(2,816) = .39, p = .675, ηp2 = .00. In other words, the relational closeness to the expressor of a moral violation did not influence how recipients interpreted and responded to the violations of individualizing or binding foundations.

When it comes to the interplay between unfriending and blocking someone and the social support received by this person, we tested H7 (contrasting non-close and close sources of moral violations as only those differed among each other; see above) based on a structural equation model (using the software R, package lavaan by [60]). The model yielded a good fit, χ2 (42) = 99.85, p < .001, CFI = .99, TLI = .99, RMSEA = .05 (90% confidence interval from .04 to .06), SRMR = .02. All types of social support (included as latent variables) moderately increased with the relational closeness to a person (see A13 Table in S1 File), Informational support: β = .57, b = 1.28, 95% CI [1.11, 1.45], z = 14.87, p < .001, emotional support: β = .60, b = 1.50, 95% CI [1.32,1.68], z = 16.20, p < .001, instrumental support: β = .58, b = 1.40, 95% CI [1.21,1.58], z = 14.96 p < .001. However, only a lack of emotional support made unfriending a person more likely: β = -.41, b = -.42, 95% CI [-.79, -.06], z = -2.26, p = .024. The indirect effect through emotional support to unfriending likelihood was significant but small (see Table 4). While the same pattern was observed for the blocking likelihood, the indirect path did not reach significance (see Table 4). Thus, H7 is only supported for emotional support. The role of receiving social support (or not) when making unfriending decisions is corroborated by descriptive statistics focusing on participants’ past unfriending/blocking behavior: According to subjects who unfriended/blocked someone due to political disagreements (n = 168), the unfriended person never (54.2%) or seldomly (22.6%) provided informational support, never (57.7%) or seldomly (21.4%) offered emotional support, and never (69%) or seldomly (14.3%) provided instrumental support.

Table 4. Indirect and total effects of relational closeness on unfriending/blocking (via perceived social support).

β b SEb 95% CI [lower / upper] z p
Indirect effects
Closeness -> Informational -> Unfriending .14 0.36 .20 -.04 / .75 1.79 .074
Closeness -> Emotional-> Unfriending -.25 -0.63 .28 -1.18 / -.08 -2.25 .025
Closeness -> Instrumental-> Unfriending .02 0.05 .21 -.36 / .45 0.24 .814
Closeness -> Informational -> Blocking .09 0.24 .21 -.18 / .65 1.11 .266
Closeness -> Emotional-> Blocking -.16 -0.41 .29 -.98 / .15 -1.43 .152
Closeness -> Instrumental-> Blocking -.01 -0.02 .21 -.42 / .39 -0.08 .939
Total effects
Unfriending .87 2.69 .23 2.24 / 3.14 11.68 < .001
Blocking .43 1.04 .15 .74 / 1.34 6.87 < .001

Discussion

Besides corroborating moral judgment as a missing link between encountering a political statement and deciding to unfriend or block someone, Study 2 also showed that, when confronted with a posting on social media that violates fundamental moral values, SNS users are more reluctant to unfriend or block ties to whom they have a close relationship. This seems to be, at least to a certain extent, due to the higher amounts of perceived emotional support that is provided by relationally closer ties.

General discussion

The present studies focused on the phenomenon of politically motivated unfriending as a consequence of a moral disagreement. To this end, it examined (a) whether moral judgments are at work when reading political statements on social networking platforms, (b) whether and which moral evaluations have predictive value for the decision to politically “filtrate” one’s online network, and (c) to what extent moral judgements of political statements are undertaken differently depending on the relational context and the social rewards the source of political statement offers.

Study 1 and 2 partly replicated previous findings on characteristics of who are political unfrienders: Those who use social networking sites (in this case: Facebook) more frequently might encounter political dissents among their network more often and, therefore, they are more likely to unfriend or block someone [5, 8, 23]. Likewise, those who are more interested in politics feel more involved in certain political issues and, thus, perceive political disagreements as more severe, leading them to unfriend or block the dissenter [7]. What is remarkable is that, in both studies, those who lean left were more inclined to unfriend someone after a political disagreement than those who lean right. The fact that this result was not obtained consistently in previous research [4, 5, 27] may be explained by the national context and prevailing issues that are predominantly discussed in online networks at the time the study was conducted. It seems conceivable that in Germany (the country this research was conducted in 2017 and 2018), the debate about the immigration of refugees–as a rather dominant topic in the public [61]–might have led left-leaning users to unfriend or block those ties who opposed the immigration. Moreover, in contrast to previous findings [5, 23], higher political extremity was not associated with the likelihood of unfriending someone. This additionally suggests that the predictive value of the political identity or orientation on decisions of network filtrations depends on the current political landscape and state of polarization in certain countries.

While the present studies replicated certain findings from previous research, these factors only explained a limited variance of unfriending behavior (approx. 5% in both studies). In contrast to this, the present approach of focusing on the moral and relational nature of an unfriending decision appears to have greater explanatory value: First, both studies offered compelling evidence that evaluating a political statement on SNS as morally wrong is a driver of the decision to unfriend or block someone. This finding supports the notion that political disagreements that lead to the post hoc modification of one’s online network are rooted in moral discrepancies. Following this logic, Study 1 showed that individuals are able to differentiate between two different sets of moral foundations that a political statement on SNS violates: When the foundations of care/harm and fairness are trespassed, individuals seem to be slightly more inclined to unfriend someone than when the moral domains of loyalty, authority, or purity are violated. While Study 2 did not indicate main effects of the type of moral foundations violated, it showed that perceiving trespasses of individualizing foundations were slightly stronger associated with unfriending than perceived violations of binding foundations. Likewise, considering past behavior, users reported that violations of individualizing foundations were more likely to lead to unfriending decisions than trespasses of binding foundations. Collectively, this evidence is indicative for the role that morality and its nuances play when it comes to shaping one’s online network by terminating a digital relationship. In line with previous research, it seems that the stronger adherence to individualizing foundations in Western countries [22, 57] relative to binding foundations is also reflected in the way individuals deal with political statements in their online network. Given the patterns observed in the present research, the question arises whether there is a likelihood that online networks become clustered by moral foundations, potentially leading to a disconnection between those who prioritize individualizing versus those who prioritize binding foundations. While previous empirical research did not corroborate the notion that social media users are captivated in politically like-minded cocoons [911], it seems worthwhile to assume a more complex view and examine whether sub-networks in online communication can be characterized by homogenous moral values. As suggested by Greene [62], the investigation of moral conflicts and their related emotional tensions could contribute to explaining modern tribalism, potentially also in online environments.

The threat that online communication leads to full moral clustering, though, appears rather unlikely as is suggested by Study 2 when the relational context is taken into account. In line with previous works [2, 5], in disregard of the moral violation, people were more unlikely to unfriend or block someone when this person was relationally close (compared to relationally distant). The findings also offer an explanation why: Since relationally closer ties are more likely to offer emotional support [30], individuals seem to be willing to tolerate moral violations and not terminate the digital tie, in return of maintaining the reception of social support. This result clearly shows the boundaries of the predictive value of a moral judgment in relation to a political statement and indicates the importance of a relational context for consideration. This research, thus, represents a first step to theorize the inner trade-off individuals go through when making a decision about digital interpersonal relationships in the face of political debates. In a nutshell, a specific type of social support, that is, emotional support, seems to be an inhibitor of terminating a digital connection when exposed to a political statement that violates a moral foundation. In light of the vivid debate on users’ active homogenization of their online networks in terms of “echo chambers” [14, 15], this novel theoretical link between political disagreements, moral judgments, and interpersonal context in contemporary communication technologies reveals that there are boundaries to users’ selective avoidance of dissents. These boundaries seem to come into play when individuals can gain something from certain relationships (i.e., network ties). A psychological view on users’ decision to unfriend or block someone offers a fruitful ground for the discussion about why political and probably also moral diversity emerges and prevails in individuals’ online networks [10, 15, 41].

The present findings need to be interpreted in light of this research’s limitations. First, although this work assessed individuals’ past unfriending and blocking behavior, it predominantly employed a scenario-based approach relying on hypothetical unfriending decisions. Both types of measures, though, seem to offer concurring findings: Those who indicated that they had unfriended because of a political disagreement in the past were significantly more likely to express a higher likelihood of unfriending in the hypothetical scenarios (on a five-point scale/ Study 1: M = 2.96, SD = 0.90; Study 2: M = 3.27, SD = 1.20) than those who did not unfriend because of political reasons in the past (Study 1: M = 2.67, SD = 1.07; Study 2: M = 2.53, SD = 1.25) (Study 1: t(301.62) = -3.49, p = .001, Cohen’s d = -.29 / Study 2: t(583) = -6.58, p < .001, Cohen’s d = -.60). Participants’ answers on previous politically motivated unfriending actions also corroborated the relative importance of individualizing moral foundations, the role of relational closeness and social support. Thus, both studies reveal a significant connection between what participants told they did in the past and what they would do. Objective observations on how online networks and their potentially moral clusters change over time or mobile experience sampling questionnaires on users’ smartphones, though, would be an informative complement to the present research.

Second, while the present work speculates about the motivation behind unfriending decisions, the psychological processes at work are still to be uncovered. For instance, it is unclear to what extent unfriending decisions are driven by cognitive or by affective processes. Given that moral conflicts are often fueled by emotions [62], it seems plausible to assume that not every unfriending decision is the result of a rational calculus of costs and benefits when dissolving this relationship. Future research could address the psychological mechanisms behind the creation and modification of one’s online political network in a systematic manner.

Third, the composition of our samples should be taken into account. The fact that female and left-leaning participants (see A4 and A10 Figs in S1 File) were overrepresented in Study 1 leads to the question of how these variables influence unfriending decisions. While the gender-balanced sample of Study 2 indicates that politically motivated unfriending does not occur more often among women than among men, χ2 (1) = .61, p = .434, both studies revealed that left-leaning individuals (compared to right-leaning ones) are more likely to unfriend others. It seems worthwhile to scrutinize whether a certain political ideology comes with enhanced involvement in certain topics which, in turn, could lead to less tolerance (and a higher unfriending likelihood) when disagreements come up or whether this finding was due to the specific national context and selected topics.

To conclude, the present work extends previous research by providing initial evidence for the importance of morality as a link between encountering politically challenging content online and actively banning this kind of information from one’s news feed. If users estimate another user’s political comment to be morally wrong, they will be more likely to terminate the digital relationship with this person. The power of morality, though, is limited when users are aware of the social resources, i.e., emotional support, that the person that is potentially to be unfriended can offer. This research, thus, presents a new level of analysis in online networks that could contribute (a) to understand the potential of social media communication to foster (moral) tribalism and (b) to identify the limits of this potential moral segregation in light of the social benefits human beings provide to one another.

Supporting information

S1 File

(PDF)

S2 File

(TXT)

Data Availability

The questionnaire, stimulus material, data, and supplementary analyses are available at https://osf.io/ptgmq/?view_only=8967804364ab40a1b69873aab84ca9f5.

Funding Statement

This research was supported by the Digital Society research program funded by the Ministry of Culture and Science of the German State of North Rhine-Westphalia (Grant Number: 005-1709-0004), Junior Research Group "Digital Citizenship in Network Technologies" (Project Number: 1706dgn009). We acknowledge support by the Open Access Publication Fund of the University of Duisburg-Essen. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Shang E Ha

1 Jun 2020

PONE-D-20-00871

“You’re still worth it” The moral and relational context of politically motivated unfriending decisions in online networks

PLOS ONE

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Reviewer #2: Yes

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5. Review Comments to the Author

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Reviewer #1: This manuscript describes a project focused on the moral foundations of political unfriending behavior on social media, providing evidence from two experimental studies conducted in Germany. I find the topic to be timely and the proposed theoretical development intriguing, with a potential to contribute to the growing body of literature on disconnective behaviors on social media. Although I am in principle supportive of publication of this manuscript, I have some serious concerns about its execution, particularly with regards to the experimental design and analytical strategy.

First, although I think that experimental work is highly needed in this area, one of the key issues facing this study is its reliance on self-reported, hypothetical unfriending, rather than the actual unfriending behavior. Although I appreciate that the authors have noted this as a weakness, I still feel that there may be a long (and winding) road between “hypothetical unfriending” in survey context and the actual unfriending behavior on Facebook. Given the within-subjects design in Study 1, I can speculate about several confounding issues that could be at play, including social desirability, demand characteristics, etc.

Second, the current experimental designs do not allow us to make inferences such as “moral judgement is a crucial driver of the unfriending decision” since no other drivers of this behavior were tested, and that morality was also made very salient in the study context. Indeed, perhaps the biggest problem in the study design is a lack of meaningful control (or let’s say comparison) groups that would test the power of moral judgements vs. other factors (e.g. perceptions of offensiveness or incivility). Indeed, a sizeable number of respondents report unfriending others for reasons unrelated to political and ideological disagreement (10-20%), but rather caused by incivility or information overload. Perhaps the authors should emphasize more that their sole focus is on moral outrage as a consequence of encountering political disagreement, rather than more general politically-focused exposure on Facebook.

Third, although I am supportive of the authors theoretical agenda, I still find it little too exploratory and perhaps undertheorized. While the current data does not allow much more theoretical space, I would still try to consult few more studies on unfriending that could aid further theory development (e.g. John & Gal, 2018; Krämer, Hoffmann, & Eimler, 2015; Schwartz & Shani, 2016).

Fourth, I feel that the analytical approaches used could be clearer and perhaps utilize interaction terms between the key predictor variables and the past unfriending behaviors. I would personally use more graphs and charts to demonstrate the differences between the experimental groups, for example.

If the authors are keen to further develop their theoretical agenda, I would suggest using a different set of methods, which could provide a more in-depth understanding of the cognitive and affective processes at work. Furthermore, since most users today use a mobile app to access their Facebook profiles, I feel that the participants should be able to utilize their smartphones as mnemonic devices when answering the questions. I suggest looking into think-aloud protocols (Eveland & Dunwoody, 2000) and studies that use mobile media elicitation (Kaufmann, 2018; Robards & Lincoln, 2017).

Minor issues:

The manuscript still feels like an early draft and would benefit from a more structured and focused approach, and a greater attention to detail. For instance, there are still typos in several places in the manuscript (e.g. p. 10, “age raged from 18 to 75”) and the tables with bivariate correlations use a comma as a decimal separator, while the other use a decimal point. Since the manuscript is English, a decimal point should be used.

I am also unsure whether the hypotheses H1a-d really need to be proposed and tested, as they are not the main focus of the study. I would recommend either discarding them, or labeling them as separate hypotheses, as Facebook use and political extremism have very little semantic similarity, for example. I also feel that all RQs and hypotheses needs to be articulated more clearly and preferably presented in a visual form too, as a process model or similar.

Regarding the samples used in the studies, more information needs to be provided about the recruitment strategy, incentives and the demographics, comparing the participants to a general profile of German Facebook users. For instance, Study 1 seems to have a rather strong gender bias, so it would be good to discuss that further, especially in the light of the specific scenarios tested (and political ideology too).

References:

Eveland, W.P., Jr., & Dunwoody, S. (2000). Examining information processing on the World Wide Web using think aloud protocols. Media Psychology, 2, 219-244.

John, N. A., & Gal, N. (2018). “He’s got his own sea”: Political Facebook unfriending in the personal public sphere. International Journal of Communication, 12, 2971–2988.

Kaufmann, K. (2018). The smartphone as a snapshot of its use: Mobile media eliciation in qualitative interviews. Mobile Media & Communication, 6(2), 233-246.

Krämer, N., Hoffmann, L., & Eimler, S. (2015). Not breaking bonds on Facebook–mixed–methods research on the influence of individuals’ need to belong on ‘unfriending’ behavior on Facebook. International Journal of Developmental Science, 9(2), 61-74.

Robards, B. and Lincoln, S. 2017. Uncovering longitudinal life narratives: scrolling back on Facebook. Qualitative Research. 17(6): 715 -730. doi.org/10.1177/1468794117700707

Schwarz, O., & Shani, G. (2016). Culture in mediated interaction: Political defriending on Facebook and the limits of networks individualism. American Journal of Cultural Sociology, 4(3), 385-421.

Reviewer #2: Review on PONE-D-20-00871

I think the authors’ study is carefully designed and well-executed experiment whose research aim is clear with good flow. However, I have some concerns over the manuscript as follows,

Major concern over the main argument

First and foremost, I am not sure whether this study secures satisfactory level of novelty or breakthrough. Novel contributions in the authors’ argument seem unconvincing, at least, to me. There are several studies reporting the importance of morality in political decision-making and behaviors; and some previous works reported ‘unfriending on Facebook’ is triggered by political disagreements. Of course, the authors aim to try link the two sets of studies, but I am not sure the authors’ efforts to link the two sets of findings could be accepted as theoretical breakthrough. While not exactly the same, there are some previous studies examining the effect of political thoughts or evaluations on ‘unfriending’ behaviors. While morality closely considered in this manuscript is distinguished from other predictors explaining unfriending behaviors on Facebook in former studies, I think the theoretical uniqueness may not so eminent. Five dimensions of morality, already acknowledged and widespread in the field of political decision-making and behaviors, are political enough. In order to be published, the authors have to convince people (like me) why this study takes theoretically novel step. I truly believe this manuscript is well-written with good flow, but well-written paper is not necessarily a novel study. When revising the manuscript, I do hope the authors put very persuasive reasons why the authors’ theoretical attempt should be acknowledged as novel, contributing to the advance of knowledge over the unfriending behaviors with moral reasons. The authors’ revision would be heavy because such efforts should appear in the Introduction, Literature Review, and Discussion sections (even in the Abstract section), but I believe such theoretical revision would be fruitful.

Minor points but please take it seriously when revising the manuscripts

Second, when reporting results of MANOVA, I think the authors missed to report Wilks Lamda or other equivalent statistics. Additionally I think other statistical approach might be better than MANOVA because the five moral dimensions would be correlated with each other. In other words, correlations between residuals of dependent measures would be treated with other statistical methods (e.g., SUR, SEM, or random-effect models). Given that the authors already relied on SEM when testing H4, I think this suggestion might not be so difficult for the authors to adopt.

Third, the role of closeness variable in testing H4 is not clearly to me. Basically, the authors assumed that ‘closeness’ is the exogenous cause triggering mediators (i.e., Informational, Emotional, or Instrumental support) and outcomes (i.e., unfriending or blocking behavior). However, I think such mediational mechanism does not make much sense, and the closeness would take a moderating role influencing the relationships between “Informational, Emotional, or Instrumental support” and “unfriending or blocking behavior.” As reported in Table 5, most effects were found in direct effects (by the way, I calculate direct effects by taking the difference between total effect and sum of indirect effects), meaning three mediators do not well explain the relationship between closeness and both behaviors. Instead, for instance, what about hypothesizing the effect of emotional support on unfriending would be augmented under high closeness condition?

Minor but important:

Fourth, The authors posted online supplementary material at OSF, but there would be some technical problems. For example, when I clicked Table A1 on page 11, the page was not present: “The file "Moral Unfriending Study 1 and 2 - Supplementary Analyses.pdf" stored on OSF Storage was deleted via the OSF. It was deleted on Fri Jan 10 12:13:02 2020 UTC.” Other links are similar. Please check the status and please provide the supporting materials for better understanding of the readers’ manuscript.

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Reviewer #2: No

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PLoS One. 2021 Jan 11;16(1):e0243049. doi: 10.1371/journal.pone.0243049.r002

Author response to Decision Letter 0


18 Sep 2020

PONE-D-20-00871: Response to the Reviewers

Dear Editor, dear Reviewers,

Before we give a detailed response to the reviewers’ comments and report on the changes we have made to the manuscript, we would like to thank you for the helpful suggestions and comments on our paper. Please let us emphasize that we really appreciate the high level of constructiveness that characterized all your suggestions. We tried to take up all feedback and feel that the manuscript indeed improved considerably. Most importantly, with the new version of the manuscript, we were able to refine the theoretical contribution of our work, outline the benefits of our methodological approach, and improve the presentation of our results. Below you find an outline of the revisions we have made to the manuscript in accordance with your comments.

R1.0:

This manuscript describes a project focused on the moral foundations of political unfriending behavior on social media, providing evidence from two experimental studies conducted in Germany. I find the topic to be timely and the proposed theoretical development intriguing, with a potential to contribute to the growing body of literature on disconnective behaviors on social media. Although I am in principle supportive of publication of this manuscript, I have some serious concerns about its execution, particularly with regards to the experimental design and analytical strategy.

Authors’ response:

We thank the reviewer for the positive assessment. We highly appreciate your constructive comments, which we tried to fully address in our revision.

R1.1:

First, although I think that experimental work is highly needed in this area, one of the key issues facing this study is its reliance on self-reported, hypothetical unfriending, rather than the actual unfriending behavior. Although I appreciate that the authors have noted this as a weakness, I still feel that there may be a long (and winding) road between “hypothetical unfriending” in survey context and the actual unfriending behavior on Facebook. Given the within-subjects design in Study 1, I can speculate about several confounding issues that could be at play, including social desirability, demand characteristics, etc.

Authors’ response:

This is a very good point that we extensively discussed among the authors when designing these studies. Indeed, as we state in our limitations section, hypothetical unfriending behavior may not fully reflect actual unfriending actions. However, there are three points that support the notion that our findings referring to hypothetical unfriending behavior are strongly indicative of actual unfriending behavior.

First, following empirical evidence related to the well-established theory of planned behavior, the intention to show a behavior is the strongest predictor of future behavior. Empirical research documented statistical relationships between intention and real behavior ranging from r = .44 to r = .47 (Armitage & Conner, 2001). Thus, we may assume that if participants expressed the intention to unfriend a person under certain circumstances (those specified in our experiment), there is a high likelihood that this person will act accordingly if faced with such a situation in real life.

Second, the connection between actual past behavior and hypothetical behavior is supported by the data of both, Study 1 and Study 2. As shown by t-tests, those who indicated that they had unfriended because of a political disagreement in the past were significantly more likely to express a higher likelihood of unfriending in the scenarios we presented (on a five-point scale/ Study 1: M = 2.96, SD = 0.90; Study 2: M = 3.27, SD = 1.20) than those who did not unfriend because of political reasons in the past (Study 1: M = 2.67, SD = 1.07; Study 2: M = 2.53, SD = 1.20) (Study 1: t(301.62) = -3.49, p = .001, Cohen’s d = -.29 / Study 2: t(583) = -6.58, p < .001, Cohen’s d = -.60). Both studies, thus, reveal a significant connection between what participants told they did in the past and what they would do.

Third, the results on hypothetical unfriending with the focus on the moral background and social support as inhibitor are in line with the descriptive data regarding past unfriending behavior. In Study 1, we found that - in face of hypothetical scenarios - people are more likely to unfriend someone because of a violation of individualizing moral intuitions (compared to violations of binding moral intuitions). This is exactly what descriptive data of Study 2 on actual unfriending behavior in the past additionally corroborate (p. 22): “When asked about past behavior, those who unfriended or blocked someone because of a political disagreement (n = 168) stated that the messages that led to the unfriending/blocking decision violated individualizing foundations, M = 4.00, SD = .91, to a larger extent than binding foundations, M = 3.21, SD = .90, t(167) = 10.55, p < .001, Cohen’s d = 0.88.”

In Study 2, we found that - when confronted with a hypothetical scenario - participants would be more likely to unfriend a person (regardless of the moral nature of that person’s previous statement) the lower the relational closeness to this person and the less social support this person offers. Again, this is what the descriptive data on past unfriending behavior confirms: Participants who unfriended someone due to political disagreements in the past (n = 168) had to indicate the relational closeness to the previously unfriended based on the Inclusion into the Self Scale in which relational closeness is higher when there is a strong overlap of circles. Among the political unfrienders, 53.6% stated that there was no relational overlap between them and the unfriended, 29.2% indicated little overlap, 10.7% some overlap, 2.4% equal overlap, 2,4% very strong overlap, and 1.8% most overlap. Thus, politically motivated unfriending actions are most likely when the unfriended is a non-close tie. Moreover, when it comes to social support, the unfriended person never (54.2%) or seldomly (22.6%) provided informational support, never (57.7%) or seldomly (21.4%) offered emotional support, and never (69%) or seldomly (14.3%) provided instrumental support.

Taking all of these points combined into account, we believe that costs of using hypothetical scenarios in terms of a reduced ecological validity are somewhat evenly balanced with its benefits in the sense of exerting full experimental control over the moral background of statements and the relational closeness of such situations. We believe that our results are to a considerable extent reflective of what real unfriending behavior outside an experimental setting looks like.

Given the consistency between past and hypothetical unfriending behavior in our findings, we also believe that participants’ responses did not suffer from social desirability or demand characteristics. Please note that in Study 1 (employing a within-subjects design) we only manipulated the moral intuitions that were in the center of the political status updates. Moral intuitions are considered as very strong and stable moral beliefs that vary from individual to individual (Haidt, 2012) and we do not believe that there is a “common sense” of what responses might be socially desirable when a different set of moral intuitions are presented in a row. Besides this, for each participant, the survey software randomly took 5 out of 15 possible moral violation scenarios, varying the order of statements displayed to participants in the within-subjects design, too. So, the order was different for every participant.

To address the reviewer’s point in our manuscript, we (1) included more information about the randomization of statements in the within-subjects experiment (Study 1; p. 12), (2) added our descriptive results concerning actual previous unfriending behavior that had not been included previously (see pp. 21-23), and (3) extended the limitations section by not only acknowledging that the hypothetical approach has its limits but also explaining which results indicate that there is a connection between actual and hypothetical unfriending behavior (see p. 27).

R1.2:

Second, the current experimental designs do not allow us to make inferences such as “moral judgement is a crucial driver of the unfriending decision” since no other drivers of this behavior were tested, and that morality was also made very salient in the study context. Indeed, perhaps the biggest problem in the study design is a lack of meaningful control (or let’s say comparison) groups that would test the power of moral judgements vs. other factors (e.g. perceptions of offensiveness or incivility). Indeed, a sizeable number of respondents report unfriending others for reasons unrelated to political and ideological disagreement (10-20%), but rather caused by incivility or information overload. Perhaps the authors should emphasize more that their sole focus is on moral outrage as a consequence of encountering political disagreement, rather than more general politically-focused exposure on Facebook.

Authors’ response:

This is a fair point and we apologize if our statements were misleading. Our motivation to focus on political disagreement and its roots was triggered by the fact that in the area of politics, unfriending actions are very likely when individuals encounter a political disagreement with others. This has been corroborated by the descriptive data in John & Dvir-Gvirsman (2015) and Study 1 and 2 of the present work. In those studies, political disagreement was even the most frequent reason for politically motivated unfriending. The reviewer is right, though, that there are further reasons for unfriending in a political context such as encountering content that is offensive or someone posting too often about politics. It seems likely that in real life, all of these reasons overlap, for instance: A person repeatedly publishes political statements on Facebook that contradict the ideal of taking care of others (moral violation) using a very uncivil language. We definitely see the benefits of both, approaches that (a) analyze the unique effect of each of these reasons and (b) investigate the interaction effect of these different reasons (e.g., does a moral violation lead to unfriending only when it is expressed in an offensive manner?). In the present study, we clearly decided to pursue (a), that is, to isolate the effect of a political disagreement and uncover its psychological background.

As suggested by the reviewer, the revised version of the manuscript is more explicit in describing the focus of our research as well as how and why we zoomed in on this phenomenon (see changes in the introduction, p. 3, 4, literature review, pp. 5-6, and in the general discussion, p. 24). The reviewer is right that we cannot make any statements on the relative importance of moral judgments as preceding unfriending decisions – we therefore solely focused on the connection between morality and political disagreements.

R1.3:

Third, although I am supportive of the authors theoretical agenda, I still find it little too exploratory and perhaps undertheorized. While the current data does not allow much more theoretical space, I would still try to consult few more studies on unfriending that could aid further theory development (e.g. John & Gal, 2018; Krämer, Hoffmann, & Eimler, 2015; Schwartz & Shani, 2016).

Authors’ response:

We thank the reviewer for these recommendations. Indeed, all three references were very helpful in refining the theoretical view on our research. In particular, before referring to the cognitive dissonance account of politically motivated unfriending, we now address the normative dimensions of SNS communication and their role of norms in the filtering of opposing political views (see pp. 5-6). Furthermore, taking the work of Krämer et al. (2015) into account, we were able to shed more light into why users may refrain from virtually disconnecting themselves from other people (see p. 9), referring to individuals’ fundamental need to belong. We believe that we construed a more coherent line of argumentation proposing that the individuals’ mental trade-off could be governed by two important psychological forces: one’s need to reduce states of cognitive dissonance and the need to belong and to maintain interpersonal relationships (see p. 9). Besides this, we also included further literature on (political) unfriending (e.g., John & Agbarya, 2020; Lopez & Ovaska, 2013)

R1.4:

Fourth, I feel that the analytical approaches used could be clearer and perhaps utilize interaction terms between the key predictor variables and the past unfriending behaviors. I would personally use more graphs and charts to demonstrate the differences between the experimental groups, for example.

Authors’ response:

This is a helpful advice. We replaced Table 3 by a graph that visually depicts the mean differences between the experimental groups (see Figure 1, p. 38). Moreover, we included new graphs representing the MANOVA calculated to address H2, RQ1, and RQ2. These graphs now more clearly depict the main effect of relational closeness and the (non-significant) interaction effect of relational closeness and moral foundations (see Figure 2 and 3; pp. 39-40).

R1.5:

If the authors are keen to further develop their theoretical agenda, I would suggest using a different set of methods, which could provide a more in-depth understanding of the cognitive and affective processes at work. Furthermore, since most users today use a mobile app to access their Facebook profiles, I feel that the participants should be able to utilize their smartphones as mnemonic devices when answering the questions. I suggest looking into think-aloud protocols (Eveland & Dunwoody, 2000) and studies that use mobile media elicitation (Kaufmann, 2018; Robards & Lincoln, 2017).

Authors’ response:

We highly acknowledge R1’s point on the need to apply methods that allow for a more in-depth understanding of how individuals react to political disagreement and at what point they form the decision to detach from a social media contact. In fact, the two studies presented here are part of a larger research project that is intended to uncover the cognitive and affective mechanisms involved when users form and intervene in their political networks. Another study from this larger project (that is in a second review cycle at another journal) employed a qualitative approach with thinking aloud protocols. This qualitative study indeed showed that the immediate responses to political disagreements often occur on an affective level in terms of anger or perceived hostility. These affective responses entail cognitive processes that try to reduce the state of cognitive dissonance such as discrediting the source of the political statement or (as researched in-depth in the present two studies) identifying moral discrepancies between oneself and the source of the political statement.

We fully agree with the reviewer’s suggestion that open-ended approaches such as thinking aloud protocols will enable us to cover the full range of responses related to encountering political disagreement; still, we believe that such an approach is outside the scope of the present article which has a very specific focus on the morality of the political disagreement and this morality is evaluated in face of varying relationship types (another factor that came up in the qualitative study). We therefore believe that the present work complements these qualitative findings yet adding the rigid and straight-forward testing of hypotheses by employing experimental methodology and large and heterogeneous samples.

We are open to add the results of that qualitative study to our literature review if the Editors and Reviewers agree to add a study that is not published yet.

Either way, we additionally mentioned the use of “mobile experience sampling questionnaires on users’ smartphones” (p. 27) as a rather promising method for future research to identify immediate responses to political disagreements.

R1.6:

Minor issues:

The manuscript still feels like an early draft and would benefit from a more structured and focused approach, and a greater attention to detail. For instance, there are still typos in several places in the manuscript (e.g. p. 10, “age raged from 18 to 75”) and the tables with bivariate correlations use a comma as a decimal separator, while the other use a decimal point. Since the manuscript is English, a decimal point should be used.

Authors’ responses:

Thank you for raising our attention in this regard. Before submitting the revision, we thoroughly went through the papers and corrected the points you mentioned as well as further errors included in the previous version.

R1.7:

I am also unsure whether the hypotheses H1a-d really need to be proposed and tested, as they are not the main focus of the study. I would recommend either discarding them, or labeling them as separate hypotheses, as Facebook use and political extremism have very little semantic similarity, for example. I also feel that all RQs and hypotheses needs to be articulated more clearly and preferably presented in a visual form too, as a process model or similar.

Authors’ responses:

With proposing H1a-d, we intended to replicate previous findings from the rather limited political unfriending research. The reviewer is right that corroborating previous findings on who is more likely to unfriend is not the main focus of our study. Still, we believe that testing these relationships in two different studies not only prevents this field from having a replication problem (as was the case for many different phenomena in psychology; Nosek et al., 2015; Open Science Collaboration, 2015), but also indicates the relative explanatory value of rather stable interindividual variables (e.g., political ideology or political interest) in contrast to situational variables such as the moral nature of a statement or the relational context. As we outline in the discussion, having evidence that connects to previous research (by intending to replicate them) vis-à-vis with a new focus on situational factors, helps us to understand the phenomenon of political unfriending in a more comprehensive way. This is why we decided to keep these hypotheses, especially because they were part of our original set of assumptions.

To address the reviewer’s point and to increase clarity, we re-labeled them and treat them as more separate assumptions changing from H1a-d to H1-H4. Moreover, we created a new figure to visualize our set of hypotheses and research questions. Since our manuscript already included a high number of Tables and Figures, we decided to integrate the visualization of hypotheses and research questions into our supplementary material (Figure A1). If the Editor and Authors wish to have this figure in the main manuscript, we will be glad to include it there.

R1.8:

Regarding the samples used in the studies, more information needs to be provided about the recruitment strategy, incentives and the demographics, comparing the participants to a general profile of German Facebook users. For instance, Study 1 seems to have a rather strong gender bias, so it would be good to discuss that further, especially in the light of the specific scenarios tested (and political ideology too).

Authors’ response:

We gladly provide more information about our samples. Both samples were recruited through online access panels that consist of volunteers of social science research. While no incentive was given to participants in Study 1, in Study 2, participants received so-called “mingle points,” that is, reward points participants can collect in order to receive a payment (after a certain amount has been collected). The incentive for our study was 0,75 EURO. We included more information about recruiting and incentives in our manuscript (see p. 11 and pp. 16-17). Moreover, we added new Figures to our supplementary material that compare the demographics of German Facebook users in 2017 and 2018 (the years these studies were conducted) to the demographic structure of our sample. The figures reveal that in terms of age, both samples are somewhat representative for German Facebook users as the deviations in each age group are not larger than 5%. For gender, it is evident that there is an overrepresentation of female participants in Study 1 while the gender distribution in Study 2 can be seen as representative for German Facebook users. We also integrated Figures about the political ideology of participants into the supplementary material (see Figures A4 and A10). Unfortunately, we do not have any data at hand how representative these samples are in terms of political ideology concerning German Facebook users.

Nevertheless, following the reviewer’s suggestion, we elaborate upon the limitations of our samples in the general discussion, acknowledging that in Study 1 there is an overrepresentation of female and left-leaning participants. As we state in the limitations section (pp. 27-28), it seems that there is no gender-based difference in unfriending behavior; still, we believe that political ideology could be an interesting variable to further examine. Both studies revealed a connection between ideology and unfriending – it could be that left-leaning individuals are more engaged in certain issues and, therefore, less tolerant of disagreements in certain contexts.

R2.0:

I think the authors’ study is carefully designed and well-executed experiment whose research aim is clear with good flow. However, I have some concerns over the manuscript as follows,

Authors’ response:

First, let us thank you for your constructive comments to improve our work.

R2.1:

Major concern over the main argument

First and foremost, I am not sure whether this study secures satisfactory level of novelty or breakthrough. Novel contributions in the authors’ argument seem unconvincing, at least, to me. There are several studies reporting the importance of morality in political decision-making and behaviors; and some previous works reported ‘unfriending on Facebook’ is triggered by political disagreements. Of course, the authors aim to try link the two sets of studies, but I am not sure the authors’ efforts to link the two sets of findings could be accepted as theoretical breakthrough. While not exactly the same, there are some previous studies examining the effect of political thoughts or evaluations on ‘unfriending’ behaviors. While morality closely considered in this manuscript is distinguished from other predictors explaining unfriending behaviors on Facebook in former studies, I think the theoretical uniqueness may not so eminent. Five dimensions of morality, already acknowledged and widespread in the field of political decision-making and behaviors, are political enough. In order to be published, the authors have to convince people (like me) why this study takes theoretically novel step. I truly believe this manuscript is well-written with good flow, but well-written paper is not necessarily a novel study. When revising the manuscript, I do hope the authors put very persuasive reasons why the authors’ theoretical attempt should be acknowledged as novel, contributing to the advance of knowledge over the unfriending behaviors with moral reasons. The authors’ revision would be heavy because such efforts should appear in the Introduction, Literature Review, and Discussion sections (even in the Abstract section), but I believe such theoretical revision would be fruitful.

Authors’ response:

Thank you so much for this thought-provoking comment that (combined with Reviewer 1’s point R1.3) helped us to refine our focus and the novel contribution of this piece. The reviewer is right that there is already convincing evidence presenting the link between morality and politics. This is a point that we certainly recognized, and we are sorry that our novel claim was not explicit enough in the previous version of the manuscript. Our line of argumentation draws on the connection between morality and politics as a fundamental premise but goes one step further by bringing the role of interpersonal relationships into play. First, from a psychological point of view, research on the connection between morality, moral congruence and interpersonal relationships is indeed scarce (Simpson et al., 2016; Simpson & Laham, 2015). Second, and more importantly, we believe that in the unique context of social media this triangle of morality, politics, and interpersonal relationships is key to understand the psychological processes that govern the formation and evolution of online social networks. When a person befriends or unfriends someone, it has consequences for the structure of a network. If morality is an important factor guiding the decision to unfriend someone, there is a theoretical risk that – in the long run – online social networks become not only politically but also morally homogeneous. Providing insights into different psychological levels of an individual’s decision to unfriend someone, therefore, takes the general political unfriending literature one theoretical step further but also contributes to the vivid debate of “echo chambers” and “filter bubbles,” indicating new dimensions on which online networks can become uniform.

In a nutshell, we believe that the present research (a) offers more in-depth views into the psychological black box behind politically motivated unfriending decisions, (b) presents innovative theoretical explanations – based on morality and its role in interpersonal relationships – for the formation of homogeneous communication clusters, and (c) provides initial empirical evidence for the limits of a morality-based homogenization, for instance, through the fact that people consider a variety of benefits (not only reducing cognitive dissonance, but also receiving social support) when it comes to make unfriending decisions.

In fact, the reviewers’ comments helped us to become more explicit in our research motivation and contributed, in our view, to outline the novelty of our line of thinking in a more convincing manner. As suggested by the reviewer, we elaborated on this novel strep in greater detail in the abstract (see p. 2), introduction (see p. 4), theoretical section (see p. 9), and discussion (see p. 26). We hope that our novel contribution becomes more evident to the reader now.

R2.2:

Minor points but please take it seriously when revising the manuscripts

Second, when reporting results of MANOVA, I think the authors missed to report Wilks Lamda or other equivalent statistics. Additionally I think other statistical approach might be better than MANOVA because the five moral dimensions would be correlated with each other. In other words, correlations between residuals of dependent measures would be treated with other statistical methods (e.g., SUR, SEM, or random-effect models). Given that the authors already relied on SEM when testing H4, I think this suggestion might not be so difficult for the authors to adopt.

Authors’ response:

We are sorry for making misleading statements. The reviewer is right that while we report the multivariate effects for Study 2 (see Table A12), we missed reporting it for the MANOVA in Study 1. We added this value to the manuscript (see p. 15). It seems to us that our statements were not specific enough as we did NOT use moral intuitions as dependent variables. For both MANOVAS, we used “perceived wrongness” and “likelihood of unfriending/blocking” as DVs. In our understanding, it is advisable to run a MANOVA when dependent variables are correlated and could represent one group (Field, 2013). We know from correlation analyses (Table 2 and 3) that these variables are moderately correlated, and it is advisable to not ignore this kind of relationships among dependent variables (Field, 2013). We decided to run MANOVAS specifically for that reason. In the revised version of the manuscript, we tried to be more specific about the variables that were used as independent and dependent variables in our analyses (see p. 15). If the reviewer had a different point in mind, we are happy to include other analyses to the manuscript.

R2.3:

Third, the role of closeness variable in testing H4 is not clearly to me. Basically, the authors assumed that ‘closeness’ is the exogenous cause triggering mediators (i.e., Informational, Emotional, or Instrumental support) and outcomes (i.e., unfriending or blocking behavior). However, I think such mediational mechanism does not make much sense, and the closeness would take a moderating role influencing the relationships between “Informational, Emotional, or Instrumental support” and “unfriending or blocking behavior.” As reported in Table 5, most effects were found in direct effects (by the way, I calculate direct effects by taking the difference between total effect and sum of indirect effects), meaning three mediators do not well explain the relationship between closeness and both behaviors. Instead, for instance, what about hypothesizing the effect of emotional support on unfriending would be augmented under high closeness condition?

Authors’ response:

This is an interesting point that provoked discussions within the group of the authors. We really went back to which research question we were originally interested in. While a moderation analysis can answer the question “WHEN does relational closeness lower the likelihood of unfriending or blocking,” a mediation analysis addresses the question “WHY does relational closeness reduce the likelihood of unfriending or blocking.” Psychological literature consistently showed that people receive stronger social support in relationally close relationships compared to relationally distant ones (Feeney & Collins, 2015; Lakey et al., 2014; Sarason & Sarason, 2006); thus, we need to expect a strong effect of relational closeness on different types of social support (which, in fact, is corroborated by our results). Given this line of thinking and the literature providing evidence for this strong connection between closeness and social support, it is clear to us that social support can only serve as the explanation WHY relational closeness reduces the likelihood of unfriending and blocking and not WHEN. Even if we were interested in the question of “WHEN,” the compelling evidence documenting the connection between relational closeness and social support would suggest that commonly there should be only little variation of social support within the different types of relational closeness. For instance, we will find only a small number of participants who receive low levels of social support in close relationships. This would lead to an unfair comparison between the different groups of relational closeness.

The reviewer is right that the indirect effect is not very strong. But following the open science movement and the ideal that hypotheses should be presented as they were originally conceptualized (even if results do not reveal strong effects; Kerr, 1998; Nosek et al., 2018)), we decided keep our hypothesis as it was originally proposed. However, we extended the introduction of this hypothesis to justify the idea behind a mediation and to make our line of reasoning more transparent (see p. 9 and pp. 10-11).

R2.4:

Minor but important:

Fourth, The authors posted online supplementary material at OSF, but there would be some technical problems. For example, when I clicked Table A1 on page 11, the page was not present: “The file "Moral Unfriending Study 1 and 2 - Supplementary Analyses.pdf" stored on OSF Storage was deleted via the OSF. It was deleted on Fri Jan 10 12:13:02 2020 UTC.” Other links are similar. Please check the status and please provide the supporting materials for better understanding of the readers’ manuscript.

Authors’ response:

We apologize that we missed to update the URLs. We did so in the last stage of this revision so that the links should work now.

Again, thank you for your suggestions!

All the best,

The authors

References

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Bode, L. (2016). Pruning the news feed: Unfriending and unfollowing political content on social media. Research & Politics, 3(3), 205316801666187. https://doi.org/10.1177/2053168016661873

Feeney, B. C., & Collins, N. L. (2015). A New Look at Social Support: A Theoretical Perspective on Thriving Through Relationships. Personality and Social Psychology Review, 19(2), 113–147. https://doi.org/10.1177/1088868314544222

Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage.

Haidt, J. (2012). The righteous mind: Why good people are divided by politics and religion. Vintage.

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John, N., & Agbarya, A. (2020). Punching up or turning away? Palestinians unfriending Jewish Israelis on Facebook. New Media & Society, 146144482090825. https://doi.org/10.1177/1461444820908256

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Lakey, B., Cooper, C., Cronin, A., & Whitaker, T. (2014). Symbolic providers help people regulate affect relationally: Implications for perceived support: Symbolic providers regulate affect. Personal Relationships, 21(3), 404–419. https://doi.org/10.1111/pere.12038

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Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., Buck, S., Chambers, C. D., Chin, G., Christensen, G., Contestabile, M., Dafoe, A., Eich, E., Freese, J., Glennerster, R., Goroff, D., Green, D. P., Hesse, B., Humphreys, M., … Yarkoni, T. (2015). Promoting an open research culture. Science, 348(6242), 1422–1425. https://doi.org/10.1126/science.aab2374

Nosek, Brian A., Ebersole, C. R., DeHaven, A. C., & Mellor, D. T. (2018). The preregistration revolution. Proceedings of the National Academy of Sciences, 115(11), 2600–2606. https://doi.org/10.1073/pnas.1708274114

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Sarason, B. R., & Sarason, I. G. (2006). Close Relationships and Social Support: Implications for the Measurement of Social Support. In A. L. Vangelisti & D. Perlman (Eds.), The Cambridge Handbook of Personal Relationships (pp. 429–444). Cambridge University Press. https://doi.org/10.1017/CBO9780511606632.024

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Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Shang E Ha

16 Nov 2020

“You’re still worth it” The moral and relational context of politically motivated unfriending decisions in online networks

PONE-D-20-00871R1

Dear Dr. Neubaum,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Reviewer #1: In general, I am quite satisfied with the revisions that the authors made to their manuscript in line with the reviewers comments. I still feel that the quality of writing could be improved a bit and that the research could be presented more succinctly. Related to that, I would personally discard H1-H4 and focus more on the other hypotheses and RQs. Since I know that the authors are keen on presenting the findings H1-H4, I suggest that they present them in a more descriptive form, without posing them as hypotheses and that their discussion is minimized. The contribution of this research should be more clearly stated in the discussion, preferably with some "big picture" view on the political implications of disconnection on social media.

Reviewer #2: I found the revised manuscript is improved much better. While I have still a slight doubt over the novelty of the manuscript (see the first point in the previous round of review), I think the manuscript is a well-written paper with some noticeable findings. As a final word, I would like to suggest that the authors put clearer reasons why and how their study is discriminated from previous studies dealing with the similar, even though not identical, topics. I am unsure whether another round of review can remove the slight doubt in my mind; thus I would like to leave the final decision to the editors.

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Acceptance letter

Shang E Ha

26 Nov 2020

PONE-D-20-00871R1

“You’re still worth it” The moral and relational context of politically motivated unfriending decisions in online networks

Dear Dr. Neubaum:

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