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. 2020 Sep 11;15(9):e0238588. doi: 10.1371/journal.pone.0238588

Nonverbal communication in selfies posted on Instagram: Another look at the effect of gender on vertical camera angle

Alessandro Soranzo 1,*, Nicola Bruno 2
Editor: Alex Jones3
PMCID: PMC7485807  PMID: 32915837

Abstract

Background

Selfies are a novel social phenomenon that is gradually beginning to receive attention within the cognitive sciences. Several studies have documented biases that may be related to nonverbal communicative intentions. For instance, in selfies posted on the dating platform Tinder males but not females prefer camera views from below (Sedgewick, Flath & Elias, 2017). We re-examined this study to assess whether this bias is confined to dating selection contexts and to compare variability between individuals and between genders.

Methods

Three raters evaluated vertical camera position in 2000 selfies– 1000 by males and 1000 by females—posted in Instagram.

Results

We found that the choices of camera angle do seem to vary depending on the context under which the selfies were uploaded. On Tinder, females appear more likely to choose neutral, frontal presentations than they do on Instagram, whereas males on Tinder appear more likely to opt for camera angles from below than on Instagram.

Conclusions

This result confirms that the composition of selfies is constrained by factors affecting nonverbal communicative intentions.

Introduction

With the advent of smartphones equipped with front cameras and preview screens, many of us are increasingly taking photographic self-portraits, or “selfies”, for purposes ranging from the social to the professional. Given their tremendous reach, popularity, and potential interest as a brand-new social phenomenon, selfies are gradually beginning to receive attention within the cognitive sciences [1].

Among potentially fruitful approaches, especially interesting have been attempts to relate compositional features of selfie images to communicative intentions of selfie-takers. Underlying these attempts is the common idea that selfies may be studied as interactive objects which may be interesting not only for their potential aesthetic value [2] but also for their role in social exchanges [3]. Selfies are a novel form of non-verbal communication: by choosing specific poses or by manipulating other pictorial features in the images, selfie-takers are assumed to provide non-verbal social and emotional signals to potential viewers [4]. In a recent paper, Bruno, Uccelli, Pisu, Belluardo & De Stefani [5] proposed that these signals may be conceptualized, within the two dimensional framework of the picture, as analogous to the non-verbal signals that we use in face-to-face communication. In face-to- face interactions, individuals control interpersonal distance, body posture, and facial expressions to modulate the quality of the exchange on dimensions such as approach-avoidance, intimacy- social distance, or positive-negative affect. These behaviours are believed to have roots in territorial behaviours by non-human animals [6, 7] and have been codified in detail by Hall [8] who grouped them under the label of “proxemics.” Proxemic space-related behaviours have been investigated extensively [9]. For instance, classic [10] and recent [11, 12] evidence indicates that manipulations of proxemic variables produce measurable psychophysiological responses within specific brain structures. In addition, psychological effects of proxemic manipulations have been shown to generalize to the digital context [13]. In selfies, space manipulations pertain only to the composition of the image, such that an actual interpersonal distance cannot be defined. The picture space, however, provides a reference frame for classifying and measuring different space- related variables such as orientations, left-right asymmetries, and relative sizes. Such proxemic features of pictures have been analysed, for instance, in relation to cinematic techniques for placing characters with respect to the camera [14].

Taken together, the above considerations suggest that picture-related proxemic variables may concur in defining the pose of the selfie-taker with respect with the implied viewpoint, providing indications about the distance of the subject from the camera, the elevation of the viewpoint below or above the subject, and its right-left position. These “selfie-specific” proxemic cues may serve the purpose of non-verbally communicating the selfie-taker motivations, intentions, or emotional states (see, [15]). Several studies [1620] have documented a bias for presenting the left over the right cheek to the camera when posing for a selfie. This bias has been related to the communication of emotions under the control of the right cerebral hemisphere [21, 22], in analogy with similar interpretations for painted portraits and self-portraits [23, 24]. Other studies (Bruno, Abbati & Lamberti, in preparation; [25]) have shown that selfies by females tend to have smaller facial prominence (the ratio of the extent occupied by the face to that occupied by the body) than those of males. This sex-related bias has been related to gender-stereotyped communication of one’s self-representation, again in analogy with analogous reports for photographic portraits in media and advertising [26] and online profile pictures [27]. Our focus here is however on one last piece of evidence recently reported by Sedgewick, Flath & Elias [28].

In their recent paper, Sedgewick and collaborators assessed the apparent vertical angle of the camera in a sample of selfies posted on the online dating application Tinder, finding that female takers were more likely to choose poses suggesting a higher vertical camera position than male takers. Taking note that the selfies were posted on an online dating application, they suggested that camera angle manipulations could be interpreted as means to provide cues for mate selection. Specifically, Sedgewick and collaborators documented that males favour taking selfies positioning the camera below their eye-level, whilst females prefer taking selfies from above the eye-level. They suggested that selfies taken from below eye-level may suggest greater physical height and power, which are arguably features that may be attractive to females. Conversely, selfies taken from above, or at, eye-level may result in a slimmer figure, and selfies taken from above may induce tilting the head downwards. It has been suggested that these features tend be attractive to males [2931].

Here we re-examine the finding of Sedgewick and collaborators asking two additional questions. First, is the sex-related difference in vertical camera angle confined to contexts that underscore mate selection, or does it generalize to other contexts of non-verbal communication? Second, how consistent are users in their choice of camera angle and how does their intra-individual variability compare to the variability that is observed between males and females? Both questions are relevant to how we might understand selfies as vehicles for non-verbal communication. To provide answers, we looked at samples of selfies publicly posted on the online photo-sharing application Instagram. In contrast to Tinder, this application encompasses a large variety of communicative intentions and content. For this reason, it represents a perfect source for testing whether effects generalize beyond a dating context. In addition, given that most users typically post multiple selfies, this choice also provided us with an opportunity to evaluate interindividual consistency in the choice of vertical camera angle. A better understanding of the potential role of selfies in interpersonal communication has theoretical and practial implications. At the theoretical level, assessments of the association between communicative intent and compositional choices represent a test of the predictions of current theories of non-verbal communication in selfies [5]. Practically, such assessment may provide useful in designing systems for automatically extracting user information from posted self portraits [32, 33], for applications aimed at health-related behavior modification [3436], and for medical applications implementing internet-based patient monitoring [3739].

Materials and methods

Informed consent was waived by the ethics committee.

Sample

A sample of 2000 selfies was collected from the photo-sharing media application Instagram. This figure was chosen based on Sedgewick and collaborators [28]’s sample of 962 selfies and an average effect size from their analysis was 0.44. We doubled this figure considering that whilst Sedgewick at al had independent selfies our sample was made by 10 selfies from the same users. Specifically, the selfies were garnered by a research assistant by searching with the #selfie hashtag on the application and recording the first 10 selfies from each of 100 male and 100 female users that had posted at least 10 selfies in their profile pages. The users’ sex was determined by their first names as returned by the search engine. To test for the consistency of the camera angle, our sample included only selfie takers with at least 10 selfies. Selfies were defined as individual photographic self-portraits by the user, taken by a smartphone camera at arm’s length. Thus, we discarded all self-portraits which included other individuals (sometimes called groupies, wefies, or usies) as well as photographic portraits that could not be selfies based on their content (for instance, if both hands of the sitter were visible in the picture). Similarly, we discarded selfies taken by capturing one’s image in front of a mirror, as these have clearly different constraints on composition than standard selfies taken by looking at oneself in the smartphone preview screen.

Ethics

User ID’s and posting dates were recorded temporarily for the sole purpose of giving each selfie a unique identifier and then discarded. In adherence with the Instagram terms and conditions, which prevents the distribution of user images without credit and consent, the selfies were stored privately and anonymously, they were analysed for the sole purpose of the current study and were not distributed or shared for any other purpose. The study was performed in accordance with the ethical standards of the Code of Ethical Principles for Medical Research Involving Human Subjects of the World Medical Association (Declaration of Helsinki), with the ethical standards of the Italian Board of Psychologists (see http:// www.psy.it/codice_deontologico.html), as well as the Ethical Code for Psychological Research of the Italian Psychological Society (see http://www.aipass.org/node/26). The study was approved by the Sheffield Hallam university ethics panel (nr. E25008132/2019).

Database and dependent variable

A database of 2000 cases was constructed by collating the selfie data for each of the 10 images per taker. For each selfie, we recorded: a unique number identifying the user, a number from 1 to 10 identifying the selfie, the gender of the user as apparent from the photograph (only two gender categories were recorded as we did not find selfies that suggested androgynous or genderqueer individuals), and our dependent variable which was a trichotomous, mutually exclusive classification of the vertical camera angle suggested by the selfie in question: “camera above”, “camera below”, and “camera frontal”. Each selfie was classified as belonging to one of the three categories by three independent raters. For the large majority of the selfies the rating was straightforward, and all raters entered the same response; that is, there was an almost perfect overlap among raters. However, for 16 selfies (0.8%) the classification differed in at least one rater. These inconsistencies were resolved by retrieving the relevant images and by drawing three horizontal lines across the face, one through the bottom of the face, one through the eyes, and one at the top of the forehead. The orientation of the pose in relation to the position of the camera was then determined by comparing the horizontal extents between these lines. For example, if the distance between the lines on the forehead and on the eyes was larger than that between the lines on the eyes and the bottom of the face, the selfie was classified as taken from above eye level.

Results

Intra-Individual consistency

Table 1 presents the frequencies of rated vertical camera angles for male and female selfies for each selfie. The table documents an overabundance of female selfies classified as “camera above”, and of male selfies classified as “camera frontal”, whereas both females and males equally tended to avoid taking selfies from below.

Table 1. Frequencies of rated camera height in female and male selfies.

Below Frontal Above Total
Female 184 323 493 1000
Male 208 455 337 1000
Total 392 778 830 2000

Data were firstly analysed through a multimodal mixed logit model implemented in the mlogit package [40] in R version 3.6.1 [41] with camera vertical angle (above, below, or frontal) as the dependent variable, sex as the predictor variable, and participant as the random factor. This model revealed a strong overall effect of the predictor [χ2(4) = 53.47, p < 0.0001; McFadden r2: 0.013].

The model shows that females take significantly more selfies from above (coeff = 0.72; 95% CI [0.52, 0.92]; z = 7.13; p < 0.0001) whilst males take significantly more selfies from the frontal position (coeff = 0.5; 95% CI [0.92,0.52]; z = 4.07; p < 0.0001). The model did not show an important difference between the sexes for the below position (coeff = 0.22; 95% CI [-0.02, 0.46]; z = 1.77; p = 0.078).

Interindividual consistency

To assess interindividual consistency in camera height choices, for each sampled taker we assessed whether the most frequent, or dominant, pose was from below, above, or frontal. Given that we sampled 10 selfies from each taker and that there are three possible poses, a pose is dominant when chosen for at least 4 selfies (4 vs 3 and 3), or for as many as 10. Although possible in principle, we did not encounter instances of an ex-aequo consisting of 4 and 4 vs 2 poses. Table 2 presents the frequencies of the dominant pose per sex. As one would expect given Tables 1 and 2 documents an overabundance of female selfies whose dominant pose was classified in the “above” category, of male selfies whose dominant pose is in the “frontal” category, whilst “below” is the least dominant pose for both males and females. Accordingly, a test of association confirms that these frequencies are not consistent with the null hypothesis of independence of sex and dominant pose category [χ2(2) = 13.31, p < 0.002; Cramer’s V = 0.26].

Table 2. Frequencies of individual dominant poses in female and male selfies.

Below Frontal Above Total
Female 15 28 57 100
Male 12 53 35 100
Total 27 81 92 200

The number of selfies associated to the dominant pose in each taker represents an index of inter-individual consistency for that taker. Table 3 presents the frequency distribution of these indices. In out of 200 selfie takers, 129 (64.5%) dominant poses involved at least 6 of the 10 selfies, and 83 (41,5%) at least 7. We take this as evidence that takers were fairly consistent in their choice of camera height, although only 8 takers chose the same angle in all selfies.

Table 3. Frequency distribution of number of dominant poses.

Dominance 4 5 6 7 8 9 10
N. Selfies 21 50 46 34 28 13 8

To evaluate if consistency in the choice of camera angles was comparable in males and females, we tabulated the data as a function of sex and number of dominant poses (Table 4) and ran a Bayesian test of association using version 0.9.12–4.2 of the BayesFactor package [42] using default priors and independent multinomial sampling plan. The resulting Bayes factor01 of 154.2 to 1 in favour of the null hypothesis indicates that males and females were similarly consistent in their preferences for a camera angle in the selfies.

Table 4. Frequencies of number of dominant poses by sex.

Dominance 4 5 6 7 8 9 10
Male 12 21 26 18 11 8 4
Female 9 29 20 16 17 5 4

Comparison between platforms

A multimodal mixed logit model was also used to compare the data between the Instagram and Tinder platform. Tinder data were retrieved from Table 1 in Sedgewick et al ([28]; page 3). Fig 1 shows a direct comparison between the two projects.

Fig 1. Percentages of male (pale blue) vs female (pinkish red) selfies by vertical camera angle, on Instagram (current study, left) and on Tinder ([28], right).

Fig 1

We used camera vertical angle (above, below, or frontal) as the dependent variable; whilst sex, platform and their interaction were the predictor variables. This model revealed a strong overall effect of the predictors [χ2(6) = 210.12, p < 0.0001; McFadden r2: 0.038].

The model shows that, overall, females take significantly more selfies from above than males (coeff = 0.72; 95% CI [0.52, 0.9]; z = 7.13; p < 0.0001) whilst there was a tendency for males to take more selfies from the frontal position (coeff = 0.22; 95% CI [-0.02, 0.46]; z = 1.77; p = 0.08). Most interestingly, the model shows a strong platform difference: compared to Tinder, on Instagram there were significantly more selfies from above than from frontal (coeff = 0.78; 95% CI [0.61, 0.94]; z = 9.03; p < 0.0001) and slightly more selfies from frontal than from below (coeff = 0.51; 95% CI [0.091, 0.94]; z = 2.38; p < 0.05). The interactions show that for females there were significantly more selfies from above on Instagram than on Tinder (coeff = 1.67; 95% CI [1.34, 1.99]; z = 10.11; p < 0.0001) whilst there were a similar number of selfies from the other two vertical positions (p > 0.05).

For males, instead, there were significantly more selfies from below on Tinder than on Instagram (coeff = 0.94; 95% CI [0.60, 1.28]; z = 5.42; p<0.0001) and slightly less selfies from above (coeff = -.51; 95% CI [-0.93, -0.091]; z = -2.39; p = 0.02).

Discussion

Our outcomes reproduced some of the features reported by Sedgewick and collaborators [28] on the Tinder data. However, our pattern of results also differed from the Tinder ones in non-trivial ways. To see how, consider again Fig 1. As can be seen in the figure, the two features that are clearly similar in the two datasets are that males prefer a frontal camera angle over the other two, and that females prefer the camera above angle more than males. The two datasets differ however in two other details. First of all, female selfies are much more likely to display a frontal angle on Tinder than they are on Instagram. Second, on Tinder male selfies are more likely to display an angle from below than female, whereas on Instagram the opposite seems to be the case: males avoid angles from below as females do.

The most interesting general conclusion stemming from this comparison is that choices of camera angle do seem to vary depending on the context under which the selfies were uploaded. On Tinder, females appear more likely to choose neutral, frontal presentations than they do on Instagram, whereas males on Tinder appear more likely to opt for camera angles from below than on Instagram. Our assessment of interindividual consistency further corroborates this conclusion, suggesting that female and males are similarly consistent in their choices. This pattern of results is therefore consistent with the idea that pictorial features such as camera angle are at least in part modulated by communicative intentions as expected if the composition of selfies were constrained by factors affecting non-verbal communication. As suggested by Sedgewick and collaborators, male choices of camera angle on Tinder may reflect the role of partner height in mate selection. It has been often reported that Western women rate taller men as more attractive [4345], whereas there is no corresponding preference of men for shorter women [46, 47]. Given that Tinder arguably emphasizes self-presentation for the purpose of dating, it is plausible that the male bias for camera angles from below stems at least in part from an attempt to appear taller and suggest greater power and physical dominance when posting on this platform in comparison to Instagram, which arguably spans a wider range of purposes for self-presentation.

On the other hand, the Tinder data of Sedgewick and collaborators also suggest that there may be a female bias for camera angles from above. Given evidence relating female attractiveness and downward head tilt [30], it may be speculated that women are exploiting this non-verbal feature to appear more attractive in a mate selection context. However, our results are not consistent with this interpretation because our Instagram sample documented a comparable bias for men takers. Rather, it may be that women have a stronger general preference for more expressive poses than do men. In a communicative context that is relatively unspecific, therefore, they choose the more expressive camera angles from above more than they do neutral frontal angles. Men, conversely, choose neutral frontal angles over the more expressive alternatives. Supporting this interpretation, a recent study of selfies posted on Instagram observed that female selfies expressed emotions more strongly than male [22]. In a context explicitly emphasizing mate selection, such as the dating site Tinder, female choices of neutral angles instead become more frequent in comparison to cameras above and below, possibly as a consequence of Western social norms that disapprove advertising sexual availability more in women than men.

To sum up, this research extends the findings of Sedgewick, Flath & Elias [28] on the sex differences of the vertical position of the camera when taking selfies. We show that the social platform where the selfies are earmarked makes a notable difference, underling the role of selfies as a form of non-verbal communication. It seems that females tend to prefer selfies from above in all the contexts. Males instead favour selfies from below when communication emphasizes mate selection, whilst they favour frontal selfies otherwise. Given the observational nature of the data we analysed, the current conclusions have the following limitations. The first concerns our claim about the differences in composition between selfies posted on Tinder and Instagram. While the main purpose of posting on these sites is clearly different, because the comparison we performed is between two different groups of posters it cannot be excluded in principle that the difference is not due to the communicative intent but to idiosyncratic characteristics, such as personality traits or education level. This may be the case if these characteristics co-vary with frequency of use of these sites. As there is currently no data supporting such covariation, at least to the best of our knowledge, this possibility will need to be tested in further studies. For instance, it should be possible to identify a sample of individuals who post on both sites and perform a within-participant comparison to control for individual differences. Another limitation of our study is that, to test for the consistency of the camera angle, our sample included only selfie takers with at least 10 selfies, but not less. A consequence of this selection criterion is that our sample is representative of the compositional choices of frequent posters but may not capture those of more occasional users. A comparison of occasional and frequent users may indeed be informative, as the former may be assumed to be less aware of the function of selfies for self-presentation and interpersonal communication. Finally, our project focussed generally on attractivity. However, we do not exclude that on social networking sites like Instagram people might also be concerned with looking attractive whilst on Tinder people might also want to convey their sexual availability. Further research will clarify whether the proxemic for attractivity differs from proxemic for sexual availability.

Data Availability

All data files are available from the osf database (accession number https://osf.io/qf8n3/).

Funding Statement

The authors received no specific funding for this work.

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Decision Letter 0

Alex Jones

12 May 2020

PONE-D-20-08908

Nonverbal communication in selfies posted on Instagram: another look at the effect of gender on vertical camera angle

PLOS ONE

Dear Dr Soranzo,

Thank you for submitting your work to PLOS ONE. I have now secured the reviews of three experts in the field of person perception, particularly in the context of online environments. As you will see from the reviews, all reviewers see merit in the work, but there are some expressions of concern for various points.

Reviewer 1 and Reviewer 3 point out the lack of concrete hypotheses that were made in the paper, and Reviewer 3 draws attention to the comparisons that are made to other data sources (e.g., Tinder) that are relatively unfounded. 

I agree with their assessments, but also agree that the paper is interesting and would make a useful contribution to the literature. As such, I would like to invite you to address the comments of the reviewers and resubmit the manuscript. 

Finally, I hope you, your co-authors, and families are all doing well during the current time.

Regards, 

Alex

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: No

**********

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors analyze selfies posted on Instagram and test whether there are sex differences in camera angle. Camera angle can alter various features of photographs, including the perceived facial appearance of targets. Thus, different camera angles may be employed to emphasize or enhance certain characteristics. A previous study found that on Tinder, men were more likely to post selfies from a low camera angle, whereas women were more likely to post selfies from a high camera angle. In the current study, the authors test whether these findings replicate on a social networking (rather than a dating) website. The study provides novel insights into how men and women differently utilize camera angle when taking selfies. Yet, there are several issues that should be addressed.

Major issues:

1) I would like to see a more detailed explanation of the communicative intentions underlying different camera positions. Which objective features of photos are altered by different vertical camera positions? Which inferences do these differences trigger in perceivers (e.g., Hehman et al., 2013)? And finally, what are the ultimate explanations for sex differences in this practice? In other words, the theoretical depth of the paper could be improved.

2) Whereas the general research questions are explicitly stated at the end of the introduction, the specific hypotheses for the current study were less clear to me. It is true that Instagram is generally used for different purposes than Tinder. However, it is unclear what predictions regarding sex differences in camera positioning would follow from this observation. One the one hand, the effect might only emerge in online dating environments where looking attractive is very important. On the other hand, people might aim to enhance their perceived attractiveness in many situations. Especially on social networking sites like Instagram or Facebook, people might be concerned with looking attractive. These considerations should be discussed. There might also be empirical work on (a) the motives underlying activity on Instagram and (b) how widespread the motive to look attractive is.

3) Most importantly, the main independent variable of interest needs to be specified more clearly. Three features need to be disentangled: camera position, head orientation, and gaze. Did the authors focus only on selfies in which targets looked directly into the camera and heads were vertically angled to face the camera? In this case, camera position would not change the appearance of the face itself. Only the background might change with a higher (lower) camera position leading to more visibility of stimuli below (above) the face. Or did head orientation and gaze also vary? Crucially, this changes the appearance of the face and leads to different trait attributions. For example, people can manipulate their perceived facial width-to-height ratio, which influences various trait attributions (Hehman et al., 2013). This could be achieved (a) by tilting the head up or down while gazing directly into a camera at eye-level (Hehman et al., 2013) or (b) by gazing directly into a camera below eye-level without tilting the head. In short, camera position by itself only changes one, arguably less interesting, aspect of selfies (what is visible in the background). Differences in facial appearance (and resulting inferences), which seem to be the main focus of the current paper, are a function of camera position, head orientation, and gaze.

Minor issues:

4) “It has been proposed (Bruno, Uccelli, Pisu, Belluardo & De Stefani, 2020) that these signals may be conceptualized, within the two dimensional framework of the picture, as analogous to the non-verbal signals that are provided by spatial behaviours in three-dimensional interactions between human as well as non-human animals (Hall, 1966; Hediger,1955; von Uexküll, 1957)” (p.3). This sentence could be clearer, especially as it seems to introduce the theoretical framework of the study. Are the authors proposing that we should study communicative intentions of selfies by focusing on image qualities that can be objectively extracted from the photo’s two-dimensional structure (e.g., face-to-body ratio)? What would be the advantage of this focus compared to competing approaches?

5) Who coded the gender of targets? Were there multiple raters? What was their level of agreement?

6) Tables 3 and 4 could easily be combined in one table.

7) In the General Discussion, the authors compare their results with previous results from Tinder. However, some direct comparisons with Sedgewick’s study, such as “female selfies are much more likely to display a frontal angle on Tinder than they are on Instagram” (p. 8), are not supported with statistical tests. It seems like the authors have the data needed to test for differences between their findings and the findings of the Sedgewick study. These results should be presented in the Results section and not the GD.

8) “Our assessment of interindividual consistency further corroborates this conclusion, suggesting that female and males are similarly consistent in their choices.” (p. 8) Where is this result reported? It looks like the authors only report sex differences in consistent choices of low camera angles, but not sex differences in overall consistency.

9) “In a communicative context that is relatively unspecific, therefore, they choose the more expressive camera angles from above more than they do neutral frontal angles.” In a context explicitly emphasizing mate selection, such as the dating site Tinder, female choices of neutral angles instead become more frequent in comparison to cameras above and below, possibly as a consequence of Western social norms that disapprove advertising sexual availability more in women than men ““ (p. 9) The argument was not clear to me. First, why would the same sexual signal be seen as inappropriate in a mate choice context, but as appropriate in what the authors call a neutral context? If anything, should sexual signaling be seen as less appropriate in a non-mate choice situation? Second, appearing more attractive is different from signaling sexual availability. Is there evidence that camera position influences perceptions of the latter? Finally, even though Tinder and Instagram are designed for different purposes (dating vs. socializing) people might be strongly concerned with their attractiveness in both contexts. Attractiveness may be a strong driver of popularity on Instagram. That is, the comparison between Instagram and Tinder is not a clean comparison of contexts that are characterized by strong vs. weak attractiveness motives. This limitation of the current study should be made explicit.

Bastian Jaeger

References

Hehman, E., Leitner, J. B., & Gaertner, S. L. (2013). Enhancing static facial features increases intimidation. Journal of Experimental Social Psychology, 49(4), 747–754. https://doi.org/10.1016/j.jesp.2013.02.015

Reviewer #2: I loved this paper, great job. As I was reading it I made various notes for myself, including how did you determine gender, why would men be more likely to engage in mate-relevant display on Tinder and women more mate-relevant display on Instagram, and how would you compare the same individuals on the two platforms. But you then covered all these points. I think my only feedback would be that you could have discussed the role of motivation more. Some individual variation in the participants, such as age, would likely impact the motivations to post selfies and therefore the angle the photos are taken, but this wasn't entirely necessary and might needlessly lengthen the manuscript. If you were to lengthen the manuscript, some further discussion on where to go from here would be ideal.

Reviewer #3: The paper provides an investigation into "selfie" angle of inclination based on the gender of the poster while considering the platform utilized (although not directly).

In its current format I consider the paper has limitations which must be addressed in a substantial revision. I will outline below my primary concerns.

Introduction

The rationale for the current study and subsequent hypotheses are not properly developed. In the introduction there is mention of nonverbal behavior, communication intention, mate signaling, and various other concepts which may have intuitive appeal to the question being investigated, yet they are insufficiently articulated and considered. More detail and development is needed, especially for elements of past research and theory the authors consider to most strongly predict the pattern investigated, as well as exclude potential competing approaches. For instance, are the current claims being made about users on such sites in general (gender specific phenomena) or is this a specific sub-group? Given the specific selection criteria, an emphasis should be placed that this relates to individuals that tend to post a specific type of photograph publicly.

There is also little mention of the community's impact on such decisions (i.e. reputation, and feedback). There seems to be an overlap in the rationale presented between this behavior (if present) relating to innate/evolutionary explanations with that generated by social norms or experience. How do we know if such selfies reflect gender differences per se, or if the individual posters are simply emulating "typical" or "successful" behavior (e.g., taking inspiration from popular figures or social norms)? Why were no considerations offered for sexual signaling vs reputation generation (e.g., investigate the pattern of likes for the photos and tendency of the poster to use "gender-congruent angles")?

I was also confused as to the mention of the Tinder data on which no specific analysis was conducted, only an ad hoc comparison. Unless an analysis can be conducted I find any claims to be tentative at best, and should not be placed with such prominence in the Abstract and Introduction.

Methods and Results:

Given the exploratory nature, an a priori power analysis is needed, alongside a justification for the smallest effect size of interest in such research.

The study itself is quite straightforward, yet it seems to be absent of a few metrics which would have drastically improved the data. For instance, was the popularity of the posters considered? The search algorithm on Instagram (when using hashtags) tends to provide a combination of recent posts, most liked posts, most engage posts, and what it considers users may want (based on geography, community, and other nebulous metrics). As such, it is difficult to argue the current sample represents a random set of the Instagram population.

Of the users selected, did the authors verify that there was no community overlap (user-to-user connections?). This may confound the data, as similar groups have more similar public behavior.

I would also consider the chronology of the 10 photos selected to merit investigation (i.e. users may post multiple types of photos initially - exploration behavior - yet based on feedback - likes, reshares, comments - may settle on a specific format). For instance, were the majority of photos that went against your hypotheses posted before or after the ones that matched your hypothesis?

For the analyses presented, I would like to see confidence intervals and effect sizes. Ideally, these would also be presented as Bayesian generalized mixed effects models, given that some of your claims

refer to null effects (page 8). Additionally, the post hoc z-tests for the contingency table must be presented in full (for all cells) and corrections for multiple comparisons should be reported.

I am also uncertain as to the value of the Figure here, given that no direct inferential tests were conducted. A stronger justification is needed.

Discussion

Consider my earlier points I consider the discussion section to need the most attention. A stronger emphasis on the limitations of the current approach is needed. Given that the analysis does not also investigate, for instance, number of likes/reshares/comments for each photo, claims of innate vs social effects are tenuous. The angles of photos may be purely driven by feedback. There is also no clear mention as to the utility of the current findings or how the authors aim to build this research in the future (e.g., laboratory studies investigating if observers judge the same "poster" more/less favorably based on gender-angle congruence; or the impact of attractiveness or other individual characteristics on the propensity to post such photos). Overall, the discussion should focus on what can be inferred from the current data directly, while considering the wider literature and future approaches.

I understand the principle notion behind this research, but more careful consideration must be given to how it is presented, and the implications and limitations of the current data.

**********

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Reviewer #1: Yes: Bastian Jaeger

Reviewer #2: Yes: Danielle L Wagstaff

Reviewer #3: No

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Attachment

Submitted filename: Review_PONE-D-20-08908.pdf

PLoS One. 2020 Sep 11;15(9):e0238588. doi: 10.1371/journal.pone.0238588.r002

Author response to Decision Letter 0


17 Aug 2020

Reviewer #1:

The authors analyze selfies posted on Instagram and test whether there are sex differences in camera angle. Camera angle can alter various features of photographs, including the perceived facial appearance of targets. Thus, different camera angles may be employed to emphasize or enhance certain characteristics. A previous study found that on Tinder, men were more likely to post selfies from a low camera angle, whereas women were more likely to post selfies from a high camera angle. In the current study, the authors test whether these findings replicate on a social networking (rather than a dating) website. The study provides novel insights into how men and women differently utilize camera angle when taking selfies. Yet, there are several issues that should be addressed.

Major issues:

1) I would like to see a more detailed explanation of the communicative intentions underlying different camera positions. Which objective features of photos are altered by different vertical camera positions? Which inferences do these differences trigger in perceivers (e.g., Hehman et al., 2013)? And finally, what are the ultimate explanations for sex differences in this practice? In other words, the theoretical depth of the paper could be improved.

Reply: We have expanded the introduction and cited Hehman et al. (see page 3)

2) Whereas the general research questions are explicitly stated at the end of the introduction, the specific hypotheses for the current study were less clear to me. It is true that Instagram is generally used for different purposes than Tinder. However, it is unclear what predictions regarding sex differences in camera positioning would follow from this observation. One the one hand, the effect might only emerge in online dating environments where looking attractive is very important. On the other hand, people might aim to enhance their perceived attractiveness in many situations. Especially on social networking sites like Instagram or Facebook, people might be concerned with looking attractive. These considerations should be discussed. There might also be empirical work on (a) the motives underlying activity on Instagram and (b) how widespread the motive to look attractive is.

Reply: We have addressed these issues in the conclusions section, where we discuss potential limitations and further directions for research.

3) Most importantly, the main independent variable of interest needs to be specified more clearly. Three features need to be disentangled: camera position, head orientation, and gaze. Did the authors focus only on selfies in which targets looked directly into the camera and heads were vertically angled to face the camera? In this case, camera position would not change the appearance of the face itself. Only the background might change with a higher (lower) camera position leading to more visibility of stimuli below (above) the face. Or did head orientation and gaze also vary? Crucially, this changes the appearance of the face and leads to different trait attributions. For example, people can manipulate their perceived facial width-to-height ratio, which influences various trait attributions (Hehman et al., 2013). This could be achieved (a) by tilting the head up or down while gazing directly into a camera at eye-level (Hehman et al., 2013) or (b) by gazing directly into a camera below eye-level without tilting the head. In short, camera position by itself only changes one, arguably less interesting, aspect of selfies (what is visible in the background). Differences in facial appearance (and resulting inferences), which seem to be the main focus of the current paper, are a function of camera position, head orientation, and gaze.

Reply: These issues are tackled in detail in Bruno et al. (2020). We have addressed them in the in the introduction (page 3) and in the discussion (page 9 and 11).

Minor issues:

4) “It has been proposed (Bruno, Uccelli, Pisu, Belluardo & De Stefani, 2020) that these signals may be conceptualized, within the two dimensional framework of the picture, as analogous to the non-verbal signals that are provided by spatial behaviours in three-dimensional interactions between human as well as non-human animals (Hall, 1966; Hediger,1955; von Uexküll, 1957)” (p.3). This sentence could be clearer, especially as it seems to introduce the theoretical framework of the study. Are the authors proposing that we should study communicative intentions of selfies by focusing on image qualities that can be objectively extracted from the photo’s two-dimensional structure (e.g., face-to-body ratio)? What would be the advantage of this focus compared to competing approaches?

Reply: We agree with the reviewer. In the new version of the manuscript this section has been largely expanded (page 3).

5) Who coded the gender of targets? Were there multiple raters? What was their level of agreement?

Reply: In the new version of the manuscript we clarified that the gender was coded based on the names posted by subjects (page 5).

6) Tables 3 and 4 could easily be combined in one table.

Reply: We understand why the reviewer made this comment. We were not clear enough in specifying that the two tables refer to different analysis. In the new version of the manuscript this is now clarified (page 6).

7) In the General Discussion, the authors compare their results with previous results from Tinder. However, some direct comparisons with Sedgewick’s study, such as “female selfies are much more likely to display a frontal angle on Tinder than they are on Instagram” (p. 8), are not supported with statistical tests. It seems like the authors have the data needed to test for differences between their findings and the findings of the Sedgewick study. These results should be presented in the Results section and not the GD.

Reply: In the new version of the manuscript, we have added the analysis to compare the two social platforms (page 9).

8) “Our assessment of interindividual consistency further corroborates this conclusion, suggesting that females and males are similarly consistent in their choices.” (p. 8) Where is this result reported?

It looks like the authors only report sex differences in consistent choices of low camera angles, but not sex differences in overall consistency.

Reply: In the new version of the manuscript, we have clarified that we measured the overall interindividual consistency and added a Bayes factor 01 supporting our claim (page 8).

9) “In a communicative context that is relatively unspecific, therefore, they choose the more expressive camera angles from above more than they do neutral frontal angles.” In a context explicitly emphasizing mate selection, such as the dating site Tinder, female choices of neutral angles instead become more frequent in comparison to cameras above and below, possibly as a consequence of Western social norms that disapprove advertising sexual availability more in women than men ““ (p. 9) The argument was not clear to me. First, why would the same sexual signal be seen as inappropriate in a mate choice context, but as appropriate in what the authors call a neutral context? If anything, should sexual signaling be seen as less appropriate in a non-mate choice situation? Second, appearing more attractive is different from signaling sexual availability. Is there evidence that camera position influences perceptions of the latter? Finally, even though Tinder and Instagram are designed for different purposes (dating vs. socializing) people might be strongly concerned with their attractiveness in both contexts. Attractiveness may be a strong driver of popularity on Instagram. That is, the comparison between Instagram and Tinder is not a clean comparison of contexts that are characterized by strong vs. weak attractiveness motives. This limitation of the current study should be made explicit.

Reply: Fair enough. We have made it explicit in the conclusions.

References

Hehman, E., Leitner, J. B., & Gaertner, S. L. (2013). Enhancing static facial features increases intimidation. Journal of Experimental Social Psychology, 49(4), 747–754. https://doi.org/10.1016/j.jesp.2013.02.015

Reviewer #2:

I loved this paper, great job. As I was reading it I made various notes for myself, including how did you determine gender, why would men be more likely to engage in mate-relevant display on Tinder and women more mate-relevant display on Instagram, and how would you compare the same individuals on the two platforms. But you then covered all these points. I think my only feedback would be that you could have discussed the role of motivation more. Some individual variation in the participants, such as age, would likely impact the motivations to post selfies and therefore the angle the photos are taken, but this wasn't entirely necessary and might needlessly lengthen the manuscript. If you were to lengthen the manuscript, some further discussion on where to go from here would be ideal.

Reply: Thank you for your positive evaluation. The issue of motivation was raised also by reviewer 1. We have improved the introduction accordingly. Please refer to our response to reviewer 1 for details.

Reviewer #3:

The paper provides an investigation into "selfie" angle of inclination based on the gender of the poster while considering the platform utilized (although not directly).

In its current format I consider the paper has limitations which must be addressed in a substantial revision. I will outline below my primary concerns.

Introduction

The rationale for the current study and subsequent hypotheses are not properly developed. In the introduction there is mention of nonverbal behavior, communication intention, mate signaling, and various other concepts which may have intuitive appeal to the question being investigated, yet they are insufficiently articulated and considered. More detail and development is needed, especially for elements of past research and theory the authors consider to most strongly predict the pattern investigated, as well as exclude potential competing approaches. For instance, are the current claims being made about users on such sites in general (gender specific phenomena) or is this a specific sub-group? Given the specific selection criteria, an emphasis should be placed that this relates to individuals that tend to post a specific type of photograph publicly.

Reply: Yes of course. The paper is about selfie taking and sharing as a novel form of non-verbal communication. It applies to individuals that use this mode of communication.

There is also little mention of the community's impact on such decisions (i.e. reputation, and feedback). There seems to be an overlap in the ration presented between this behavior (if present) relating to innate/evolutionary explanations with that generated by social norms or experience. How do we know if such selfies reflect gender differences per se, or if the individual posters are simply emulating "typical" or "successful" behavior (e.g., taking inspiration from popular figures or social norms)? Why were no considerations offered for sexual signaling vs reputation generation (e.g., investigate the pattern of likes for the photos and tendency of the poster to use "gender-congruent angles")?

Reply: These are valid concerns and we have addressed them in the conclusion of the paper, where we discuss current limitations and further directions for study. Our aim here was to perform an initial investigation of the hypothesis that the composition of selfies may reflect communicative intention, as implied by the intended platform for posting. In an observational study such as this, some limitations in the scope of the conclusions are to be expected.

I was also confused as to the mention of the Tinder data on which no specific analysis was conducted, only an ad hoc comparison. Unless an analysis can be conducted I find any claims to be tentative at best, and should not be placed with such prominence in the Abstract and Introduction.

Reply: In the new version of the manuscript, we have added the analysis to compare the two social platforms (page 8).

Methods and Results:

Given the exploratory nature, an a priori power analysis is needed, alongside a justification for the smallest effect size of interest in such research.

Reply: In the new version of the manuscript the sample size is justified on page 5.

The study itself is quite straightforward, yet it seems to be absent of a few metrics which would have drastically improved the data. For instance, was the popularity of the posters considered? The search algorithm on Instagram (when using hashtags) tends to provide a combination of recent posts, most liked posts, most engage posts, and what it considers users may want (based on geography, community, and other nebulous metrics). As such, it is difficult to argue the current sample represents a random set of the Instagram population.

Of the users selected, did the authors verify that there was no community overlap (user-to-user connections?). This may confound the data, as similar groups have more similar public behavior.

I would also consider the chronology of the 10 photos selected to merit investigation (i.e. users may post multiple types of photos initially - exploration behavior - yet based on feedback - likes, reshares, comments - may settle on a specific format). For instance, were the majority of photos that went against your hypotheses posted before or after the ones that matched your hypothesis?

Reply: We agree that possible biases in sampling need to be considered. We have discussed this issue in the conclusions, where we address potential limitations of the current conclusions. We remain sceptical however that popularity metrics (which indeed tend to be nebulous, as you also acknowledge) would help much in this respect. On the other hand, your suggestion about looking into the chronology of the posts is very interesting and we have decided to include it as a further direction for study. We are in fact deeply interested in the role of exploratory behaviours in the form of nonverbal communication instantiated by selfies, a notion which is developed in depth in a much longer recent paper from our group which formed the theoretical starting point for this work (Bruno, Uccelli, Pisu, Belluardo & De Stefani, 2020, frontiers in Human-Media Interaction). This analysis however would require setting up a new study, and obtaining and implementing the appropriate ethics-approval procedures as it would raise privacy concerns related to recording personal data from the online profiles. In our study, we deliberately discarded all this information precisely to avoid having to deal with these delicate issues.

For the analyses presented, I would like to see confidence intervals and effect sizes. Ideally, these would also be presented as Bayesian generalized mixed effects models, given that some of your claims refer to null effects (page 8). Additionally, the post hoc z-tests for the contingency table must be presented in full (for all cells) and corrections for multiple comparisons should be reported.

Reply: In the new version of the manuscript we have added the CI and effect sizes. The analysis to support the claim based on null effects was replaced with a Bayesian test (page 8).

I am also uncertain as to the value of the Figure here, given that no direct inferential tests were conducted. A stronger justification is needed.

Reply: We agree with the reviewer. In the new version of the manuscript (page 8) we have added the inferential test comparing the two social networks, making the figure meaningful.

Discussion

Consider my earlier points I consider the discussion section to need the most attention. A stronger emphasis on the limitations of the current approach is needed. Given that the analysis does not also investigate, for instance, number of likes/reshares/comments for each photo, claims of innate vs social effects are tenuous. The angles of photos may be purely driven by feedback. There is also no clear mention as to the utility of the current findings or how the authors aim to build this research in the future (e.g., laboratory studies investigating if observers judge the same "poster" more/less favorably based on gender-angle congruence; or the impact of attractiveness or other individual characteristics on the propensity to post such photos). Overall, the discussion should focus on what can be inferred from the current data directly, while considering the wider literature and future approaches. I understand the principle notion behind this research, but more careful consideration must be given to how it is presented, and the implications and limitations of the current data.

Reply: Fair enough. We have rewritten the discussion section to address these concerns.

Attachment

Submitted filename: Response to Reviewers.rtf

Decision Letter 1

Alex Jones

20 Aug 2020

Nonverbal communication in selfies posted on Instagram: another look at the effect of gender on vertical camera angle

PONE-D-20-08908R1

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Acceptance letter

Alex Jones

24 Aug 2020

PONE-D-20-08908R1

Nonverbal communication in selfies posted on Instagram: another look at the effect of gender on vertical camera angle

Dear Dr. Soranzo:

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Associated Data

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    Supplementary Materials

    Attachment

    Submitted filename: Review_PONE-D-20-08908.pdf

    Attachment

    Submitted filename: Response to Reviewers.rtf

    Data Availability Statement

    All data files are available from the osf database (accession number https://osf.io/qf8n3/).


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