Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 Aug 19.
Published in final edited form as: J Commun. 2021 Feb 10;71(1):129–161. doi: 10.1093/joc/jqaa041

Political Humor, Sharing, and Remembering: Insights from Neuroimaging

Jason C Coronel 1, Matthew B O’Donnell 2, Prateekshit Pandey 2, Michael X Delli Carpini 2, Emily B Falk 2
PMCID: PMC12360045  NIHMSID: NIHMS1756714  PMID: 40831577

Abstract

Over the last two decades, news-oriented comedy programs have risen to compete with traditional hard news media as sources of information about politics. To the extent that a politically knowledgeable electorate is necessary for a thriving democracy, understanding the mechanisms underlying the extent to which political comedy facilitates or inhibits a well-informed citizenry is critical. Across two studies, we use behavioral experiments and neuroimaging to examine the causal effects of humor on the desire to share and the capacity to remember political information. We find that humor increases the likelihood to share political information with others and enhances people’s memory for information. Humor also increases brain response in regions associated with understanding other people’s mental states (i.e., mentalizing), which advances a theoretical framework that humor may facilitate considerations of others’ views (e.g., how other people will respond to shared political information).

Keywords: Political Humor, Communication Neuroscience, Political Knowledge, Entertainment Media, Media Psychology


Classic theories of representative democracy rest on the assumption that the electorate is well-informed about public affairs (Dewey, 1927/2016; Mill, 1861/1991). In recent years, there has been growing recognition that people’s information environment plays an important role in facilitating or impairing their ability to acquire and retain accurate political information (Delli Carpini, 2012; Mondak, 1995; Coronel and Sweitzer, 2018). An important feature of the current information environment is the growing popularity of hybrid news-entertainment genres and news-oriented comedy programs as alternatives to traditional news outlets (Delli Carpini, 2012).

Indeed, a large body of work over the last two decades has examined the effects of comedy programs (e.g., The Daily Show, The Tonight Show) on the acquisition and retention of political information (Baumgartner and Morris, 2006; Delli Carpini, 2012; Hoffman and Young, 2011; Kim and Vishak, 2008). A prominent claim from this literature is that presenting political information within the context of humor can enhance the retention of this information in long-term memory (Young, 2017). Although humor can have many meanings, humor here is broadly defined as anything that people say or do that is perceived as funny (Martin and Ford, 2018). Within this context, the effect of humor on memory is theorized to be due to the higher levels of attention viewers direct to political information when it is delivered in a humorous versus a nonhumorous format (Hardy, Gottfried, Winneg, and Jamieson, 2014; Kim and Vishak, 2008). Of relevance, work in psychology and neuroscience has provided evidence that information that elicits pleasure or reward enhances long-term memory for the information (Shohamy and Adcock, 2010).

In the research reported here, in addition to testing the causal role of humor in memory for political information, we extend this view to consider the possibility that political humor can also facilitate a politically knowledgeable citizenry in another way. Specifically, we examine the extent to which humor can increase the likelihood that political information is shared with other people. Sharing political information is important because much of the information people encounter in their everyday lives is obtained second-hand through interpersonal channels (Hirst and Echterhoff, 2012). For example, individuals often learn political information from family, friends, and colleagues (Coronel et al., 2020; Carlson, 2019; Katz, 1957; Katz and Lazarsfeld, 1955).

Why would humor facilitate social sharing of, and memory for, political information? Work in other domains has theorized that frames that lead individuals to consider how sharing or discussing information will benefit them, benefit others, and/or benefit their relationship will increase the likelihood of message sharing (Scholz and Falk, 2020). Political information framed in a humorous (vs. nonhumorous) manner may work in a similar way by creating a positive impression of the person sharing (i.e., that the communicator is witty; Mettee et al., 1971), by giving enjoyment to the receiver (Szabo, 2003), or because humor relies on a shared understanding between the communicator and receiver (Martin and Ford, 2018), potentially reinforcing their social bond (Manninen et al., 2017). Indeed, a vast literature across different disciplines suggests that humor (both political and not) serves many social functions (Kane et al., 1977; Long and Graesser, 1988; Young, 2017). For example, it can be used as tool to allow people to probe other people’s attitudes and beliefs in a covert manner, gain approval from others, or elicit positive emotions from loved ones (Martin and Ford, 2018). To achieve these goals in deciding whether to share humorous content with others, individuals need to consider other people’s mental states, a process often referred to as “mentalizing” (Frith and Frith, 2003). In addition, greater mentalizing may involve greater attention to the political information that will be shared since communicators need to assess which individuals are likely going to be receptive to the political information. This greater attention to information that will be shared, then, may lead to enhanced memory.

We provide empirical evidence for these arguments across two studies. Our primary goals are to (a) examine the extent to which humorous political information is more likely to be shared with other people, (b) examine the extent to which humor improves the retention of political information (via increased mentalizing and/or reward-processing), and (c) identify the potential neurocognitive mechanisms (e.g., mentalizing and/or reward) underlying these effects of humor on sharing and memory, using noninvasive brain imaging (fMRI). FMRI affords us two unique advantages. First, it allows us to measure the simultaneous involvement of multiple neurocognitive processes as individuals evaluate political information conveyed in a humorous vs. nonhumorous manner at the point in time when these processes are occurring (i.e., moment of exposure to the media content). Second, we can measure these processes unobtrusively without the need for participants to pause and interrupt their viewing experience to reflect and self-report on how they are thinking about the content.

Our study advances the political humor and broader entertainment media literatures in three ways. First, we argue that decisions about whether to share humorous information with others should increase mentalizing activity. We recognize that there are likely several mechanisms (that can occur simultaneously) that are associated with people’s desire to share humorous information with others. We specifically focus on mentalizing here because it has been shown to be predictor of social sharing and memory in other domains (Meyer et al., 2019; Scholz and Falk, 2017). Yet, empirical work in political communication has largely not considered the role of mentalizing processes in explaining why individuals will remember or share political information.

Second, our approach employs an experimental design to isolate the causal effects of humor, using carefully constructed humorous/nonhumorous news segments/conditions created by professional writers and actors that vary primarily in their humorous/nonhumorous endings. Although valuable, the few studies that have employed experimental techniques have used existing humorous/nonhumorous clips (e.g., The Daily Show or evening news) as stimuli and therefore have not been fully able to control for other differences between stimuli such as prior knowledge about news hosts and the exact nature of the content and delivery (Kim and Vishak, 2008).

Finally, we use fMRI to simultaneously examine multiple neural processes as participants evaluate media content. Some scholars of political humor have called for the use of psychophysiological techniques to shed light on the mechanisms underlying the effects of humor (Young, 2017). To put it simply, fMRI allows us to infer neuronal activity indirectly by measuring differences in blood flow across the brain (for an introduction, see Weber et al., 2015). Complex messages such as political humor will likely engage multiple psychological processes and fMRI can allow researchers to measure the neural substrates associated with these processes. The paradigm and analytical approach we use here can be used to examine message processing in other domains such as health news sharing (e.g., Baek, et al., 2017; Scholz et al., 2017), and other entertainment-based processing in domains such as science communication.

Understanding political humor through a social psychological and neuroscientific framework

News-oriented comedy programs have risen to compete with traditional hard news media as sources of information about politics and public affairs (Delli Carpini, 2012). To the extent that a knowledgeable electorate is necessary for a thriving democracy, understanding how political comedy facilitates or inhibits a well-informed citizenry is crucial. Political information conveyed in a humorous manner may facilitate a well-informed electorate by both increasing the likelihood that the information is shared with others and by enhancing memory for political information. Building on prior literature related to the social functions of humor (Kane et al., 1977; Long and Graesser, 1988) as well as the neural precursors of information sharing (Baek, Scholz, O’Donnell, and Falk, 2017; Scholz et al., 2017), we hypothesize that humor might increase brain responses in regions implicated in understanding other people’s mental states, and regions implicated in reward. We expand on each of these hypotheses below.

Mentalizing, sharing, and remembering

Why would people be more likely to share humorous than nonhumorous political information? We suggest that it is useful to answer this question through the lens of interdisciplinary work on humor. Our central idea is that individuals can use humorous political information to accomplish social goals. Of relevance, a large body of theoretical and empirical work in psychology, comparative biology, and communication has converged on the idea that humor can serve social functions in human relationships (Gervais and Wilson, 2005; Kane et al., 1977; Lynch, 2002), and in this way, might help people achieve social goals. For example, people have used humor in a variety of ways such as a tool for self-disclosure (Davis and Farina, 1970), alleviating workplace tension (Vinton, 1989), increasing one’s status (Bitterly et al., 2017), fostering an appearance of competence (Mettee et al., 1971), and promoting group cohesion (Robinson and Smith-Lovin, 2001).

Some of these social goals may be motivated by benefits to one’s self. For example, people may share humorous information if they believe it will make them look witty. As another example, in the context of politics, people are often interested in knowing the beliefs and attitudes of acquaintances over political issues. For some issues, it can be difficult or uncomfortable to ask direct questions about these issues. Using humor can often be a more acceptable and indirect way of gaining such information (Martin and Ford, 2018). By making a humorous remark about certain political attitudes or beliefs, and by observing whether others respond with laughter, individuals can infer whether others share similar views.

In contrast, other social goals are altruistic or driven largely by concerns of benefitting others. For example, individuals may be motivated to share humorous political information with others because they want the person to experience feeling of joy or amusement. Furthermore, although many individuals are not interested in politics (Delli Carpini and Keeter, 1996; Prior 2019), political humor is often perceived as making politics accessible to a more general audience—even among those who are not interested in political affairs (Young, 2017). Indeed, watching political comedy programming on television can motivate people to engage in political discussions with others (Landreville, Holbert, and LaMarre, 2010).

In summary, if individuals can use humorous political information to accomplish more of their social goals than nonhumorous political information, then it should elicit a greater likelihood of sharing. Formally, we postulate and preregistered the following hypothesis:1

H1: Individuals will be more likely to share political information delivered in a humorous than nonhumorous format.

It is important to note that, regardless of whether individuals are motivated by altruistic or self-interested goals, they need to determine the values, attitudes, knowledge, and intention of others as they consider whether to share political information with them, and this is particularly true in considering what others will find funny. In other words, to accomplish their social goals, individuals can engage in mentalizing in deciding whether to share humorous content.

Mentalizing is an umbrella term scholars use to describe thinking about mental states, beliefs, and intentions of other people (Frith and Frith, 2003). Mentalizing has automatic and controlled components and either or both can underlie individuals’ decisions to share political content with others. Mentalizing can occur automatically if individuals spontaneously infer the mental states of others with little effort and intention (Frith and Frith, 2006; Lieberman, 2007). In the context of humor news, this could involve spontaneously thinking about how others might respond to the content (e.g., “Joe would love this!”). Evidence that mentalizing can occur automatically has come from preverbal infants who likely ascribe beliefs to others (Onishi and Baillargeon, 2005). However, mentalizing can also occur in a controlled, effortful, and deliberate manner (Luyten and Fonagy, 2015). People may engage in effortful and deliberate thinking when trying to ascribe traits, emotions, and thoughts to others. For example, in a pertinent neuroimaging study, participants were asked to simultaneously think about two, three, or four of their friends and their personality traits (Meyer et al., 2015). The study found that as the number of friends participants thought about increased, so too did activity in brain regions associated with mentalizing. In the context of humor news, this could involve deliberating about how others might respond to the content (e.g., “I wonder what Joe would think about this?”).

Of further interest in this study, then, is understanding the cognitive processes elicited by exposure to humorous versus nonhumorous political information, with a particular focus on the neural regions that have been associated with mentalizing. Specifically, fMRI studies have identified several regions that are associated with people’s ability to reason about other people’s mental states. More broadly, these regions have been theorized to underlie people’s natural capacity for social cognition and reasoning about the social consequences of one’s actions, whether automatic or deliberative (Dufour et al., 2013; Frith and Frith, 2006). These regions include the dorsal, middle, and ventral medial prefrontal cortex (DMPFC, MMPFC, VMPFC), precuneus (PC), left and right temporoparietal junction (LTPJ, RTPJ), and right superior temporal sulcus (RTPS) (Dufour et al., 2013). In addition, activation of mentalizing regions has also been associated with greater sharing of news in past studies (Baek et al., 2017; Scholz et al., 2017).

If individuals are more likely to think about how political information can be used to fulfill their social goals when it is presented in a humorous manner, then they should be more likely to think about other people’s mental states (with whom they may share information) when presented with humorous rather than nonhumorous political information. We propose and preregistered the following hypothesis:

H2: Humorous political information will be more likely to elicit greater activity in brain regions associated with mentalizing than nonhumorous political information.

Greater mentalizing may also be positively associated with sharing. If sharing information with others involves thinking about the mental states of the people with whom an individual may share information, then greater mentalizing should be associated with greater instances of sharing. This may occur automatically if, for example, political information spontaneously brings to mind (on the part of the communicator) someone who may appreciate the information. This can also occur in a controlled manner if the sender assesses the potential responses of the receiver to the information, and/or possible consequences for the sharer’s relationship with the receiver. There is evidence that greater activity in mentalizing regions predicts both individual (Baek et al., 2017) and aggregate-level (Scholz et al., 2017) sharing behaviors in the context of health news articles. We therefore propose and preregistered the following hypothesis:

H3: Greater mentalizing activity will be associated with increased sharing of political information.

Additionally, what explains the potential memory-enhancing effects of political humor? In general, effects of humor on memory are theorized to be due to individuals directing higher levels of attention to political information when it is delivered in a humorous versus a nonhumorous format (Hardy et al., 2014; Kim and Vishak, 2008). One explanation as to why individuals will likely direct more attention, and therefore remember, humorous than nonhumorous political information is people’s emotional response to humorous information. Specifically, the personal emotional gratification one expects or experiences from humor facilitates cognitive engagement and effortful processing of political information. Indeed, the manner in which people evaluate political information is not only influenced by long-term dispositions or traits (e.g., partisanship, personality; Mondak, 2010) but also by short-term emotional states (Brader, 2006; Marcus, Neuman, and MacKuen, 2000).

Emotional states, in particular, are viewed as playing a critical role in what people pay attention to, and remember about, politics (Brader, 2006). For example, anticipating positive emotions such as expected feelings of joy and amusement has been theorized to promote attention and elaboration of information (Martin and Ford, 2018). This is because individuals have a strong preference for experiencing positive emotional states (Cacioppo et al., 1999; Diener and Diener, 1996; Watson et al., 1999) and are therefore likely to direct attention to sources that they expect will elicit positive emotions. Thus, both the expectation and experience of positive emotional states can lead to greater attention and memory for humorous information. Formally, we propose and preregistered that:

H4: Individuals will be more likely to remember political information delivered in a humorous than nonhumorous format.

Greater mentalizing may involve an increased likelihood of remembering political information. There is emerging evidence that individuals are more likely to remember social (e.g., actions that have interpersonal consequences) than nonsocial information (Cassidy and Gutchess, 2012; Meyer et al., 2019). One explanation for this enhanced memory is that social or interpersonal information can be viewed as more meaningful, and thus capture greater attention, compared to nonsocial (and perhaps less meaningful) information (Cassidy and Gutchess, 2012). Furthermore, neuroimaging work suggests that interactions between brain regions involved in mentalizing (e.g., MPFC and TPJ) play a role in the stabilization of social information in long-term memory (i.e., memory consolidation; Meyer et al., 2019). Finally, greater mentalizing may involve greater elaboration or attention to the information that will be shared since this involves an assessment (either spontaneously or intentionally) of which individuals are likely going to be receptive to the political information. Obtaining an accurate assessment of other people’s mental states and determining whether one’s social goals can be attained by sharing information may require attention to both the information that could be shared and the potential audience. Thus, if mentalizing involves greater elaboration of the information that will be shared, then an increase in mentalizing should also be associated with an increased likelihood of remembering the information. We therefore expect that greater mentalizing will be associated with greater memory for political information. We preregistered the following hypothesis:

H5: Greater mentalizing activity will be associated with increased likelihood of remembering political information.

Reward, sharing, and remembering

Given that humorous information is likely to elicit positive emotions, processes related to reward and positive valuation may play an important role in processing humorous political information. Reward and positive valuation are closely linked processes. Indeed, “reward” is often conceptualized as the positive value that an individual ascribes to an object or stimuli (Schultz et al., 1997). In terms of reward/positive valuation, previous work has implicated the ventromedial prefrontal cortex (VMPFC) and ventral striatum (VS) as important brain regions involved in this type of reward processing (Kable and Glimcher, 2009; Rangel, Camerer, and Montague, 2008). The VMPFC and VS have been linked to reward and/or anticipation and prediction of reward outcomes (for reviews, see Kable and Glimcher, 2009; Knutson and Greer, 2008; Rangel et al., 2008).

Indeed, previous work has associated the VMPFC with the pleasurable nature of humor comprehension (Goel and Dolan, 2001). For instance, a previous fMRI study found that people’s funniness ratings of jokes were associated with greater activation in the VMPFC (Goel and Dolan, 2001). Similarly, converging evidence from animal and neuroimaging studies of humans suggest that the ventral striatum plays a critical role in people’s capacity to predict or anticipate rewarding experiences (for a review, see O’Doherty, 2004). In the context of humor, previous fMRI work has found that funny cartoons tend elicit greater neural activity in the nucleus accumbens (a subregion of the ventral striatum) than nonfunny cartoons (Mobbs et al, 2003). Thus, we postulate and preregistered the following hypothesis:

H6: Humorous political information will be more likely to elicit greater activity in brain regions associated with reward than nonhumorous political information.

Increased reward processes may also be associated with increased remembering. There is substantial evidence that information that elicits reward enhances storage of the information in long-term memory for both animals and humans (Shohamy and Adcock, 2010). This can occur in instances in which people anticipate the reward value of information, and are thus likely to direct greater attention to it (for a review, see Miendlarzewska et al., 2016). The memory-enhancing effects of reward can also occur after exposure to information via increased likelihood that the information is reactivated or “replayed” and thus improving memory consolidation (Atherton et al., 2015). We propose the following hypothesis:

H7: Greater reward activity will be associated with increased likelihood of remembering political information.

Finally, individuals may also be more likely to share political information that elicits greater feelings of reward. One possible reason for this prediction is from work showing that shared experiences are more enjoyable than solo ones (Wagner et al., 2015). Indeed, sharing experiences seem to amplify emotions—making positive experiences more positive (Shteynberg et al., 2014). This desire to experience greater feelings of enjoyment may increase people’s motivations to share information with others. This prediction is also consistent with our theoretical view about sharing humor as a means by which individuals can accomplish social goals. Specifically, if individuals want others to experience feelings of joy or amusement, then they may want to share information that brought about positive emotional states in themselves. We propose and preregistered the following hypothesis:

H8: Greater reward activity will be associated with increased sharing.

Methods

Preregistration and replication

We conducted two studies that utilized the same stimuli and employed the same general design.2 Study 1 is the behavioral version (we collected behavioral data but not fMRI data). Study 2 is the fMRI version (we collected both behavioral and fMRI data). Since we collected the same behavioral data across the two studies, we could examine the extent to which the behavioral effects of political humor on sharing and memory replicated across different participants and study contexts. We tested the hypothesized mentalizing and reward processes associated with humor using fMRI data obtained from Study 2.

Participants

For studies 1 and 2, we recruited participants from a large private northeastern university in the United States and the surrounding community. We compensated participants with money ($15 for Study 1, $30 for Study 2). For Study 1, we recruited 40 participants (20 females, MAge = 21.48, SDAge = 2.77, range = 18 to 34, Democrat = 25, Independent = 11, Republican = 4).

For Study 2, we recruited 52 participants. We excluded four participants due to excessive head motion during MRI scanning. We analyzed data from the remaining 48 participants (27 females, MAge = 22.69, SDAge = 4.25, range = 18 to 35, Democrat = 28, Independent = 17, Republican = 3). All participants in Study 2, by self-report, had no history of neurological disorders, PTSD, coronary artery disease, arrhythmia, or uncontrolled hypertension, and were not currently using psychotropic medications.

Materials

Stimuli consisted of 128 6–18 second video clips simulating a television news segment, with two professional comic actors (white males; see Figure 1) playing the news anchors. Of the 128 clips, half (64) featured each actor, with each reading 32 humorous and 32 nonhumorous versions. All scripts for the humorous versions were written by a professional comedy writer (see Table 1 for examples).

Figure 1.

Figure 1

Schematic design of study. Notes: In Study 1, participants were seated at a computer in a behavioral lab. In Study 2, the study phase took place inside an MRI scanner

Table 1.

Sample of News Stories

Humorous Non-Humorous

Lawmakers want to take speed camera technology statewide by installing 170 new traffic cameras over the next five years. This is being touted as an alternative to the previous policy of having drivers simply take selfies whenever they break the law. Lawmakers want to take speed camera technology statewide by installing 170 new traffic cameras over the next five years. This is being touted as an alternative to the previous policy of relying on the state police to ticket speeders.

An initiative will soon bar the government from transferring tax funds to businesses except for the purchase of property, goods, or services. So, you know, everything you use money for. An initiative will soon bar the government from transferring tax funds to businesses except for the purchase of property, goods, or services. This limits almost everything tax funds are used for.

Gambling will soon be legal 24 hours a day and seven days a week, so that 20 percent of the revenue can be used to fund community colleges. This is outrageous. If gambling is legal all day every day, who is going to have time for college? Gambling will soon be legal 24 hours a day and seven days a week, so that 20 percent of the revenue can be used to fund community colleges. Some have called this measure outrageous. Some are worried that it may increase gambling from students.

Any contributions to elected officials exceeding 250 dollars will have to be posted on the official’s website, along with the donor’s name. Finally, a way to publicly brag about having more than 250 dollars. Any contributions to elected officials exceeding 250 dollars will have to be posted on the official’s website, along with the donor’s name. This will publicly recognize people who give more than 250 dollars.

State agencies are now permitted to sell advertising space on their websites or property. Because nothing makes you take the government seriously like seeing a Taco Bell commercial. State agencies are now permitted to sell advertising space on their websites or property. Some are worried that people may not take the government seriously if they have commercial ads on their websites.

The state will soon shift taxes from small business owners on to homeowners. Honey and kids, if you’re watching this at home, I think now would be a good time to incorporate. I’ll see you at home. I mean at the office. The state will soon shift taxes from small business owners on to homeowners. Some are worried that this law might increase fraud. In particular, some homeowners might falsely claim their homes as the location of their businesses.

The script for each news clip consisted of two sections. The relevant news information conveyed in the first section described a proposed state law or initiative. We intentionally selected issues that were unlikely to be associated with strong prior attitudes (e.g., traffic cameras at intersections, term limits for state judges), and did not select partisan issues (e.g., abortion, immigration, gun control) because we wanted to minimize differences in participants’ prior knowledge/attitudes about the issues and perceptions that the humorous versions may be viewed as offensive. We selected actual state laws and modified them for our study. In half of the clips (32 clips), the second section consisted of a joke about the proposed law, while the other half consisted of a nonhumorous sentence which provided more information about the law. The jokes were a mix of surreal comedy (“bizarre” juxtapositions) and comedy that criticized the policy. We pre-tested our 128 clips with a sample drawn from Amazon’s Mechanical Turk to ensure that the humorous clips (mean funniness rating = 3.06, SD = 0.36) were judged to be funnier than the nonhumorous clips (mean funniness rating = 1.96, SD = 0.21), t(126) = −20.91, p < .001, d = −3.7).3

Procedures

Both studies 1 and 2 consisted of a study phase (completed in the fMRI scanner for Study 2), a memory test phase, and a sharing phase (see Figure 1). During the study phase, we told participants that they would watch clips of people’s auditions for a local news anchor position: “For the first task, you’re going to watch a series of video clips of two people who are auditioning for a news anchor position. The local news station auditioning the news anchors is trying a new format. They want to see if combining humor with regular news stories will change how viewers respond to the news.” We provided these instructions to minimize the possibility that participants are surprised when they view the anchor delivering jokes.

We instructed participants to pay attention to these clips, as they would be asked questions about them at a later point. Each participant viewed 32 video clips in random order (16 humorous delivered by one anchor and 16 nonhumorous delivered by the other, alternating which anchor delivered the humorous or nonhumorous clips from participant to participant).4

A single trial consisted of a video clip (range of six to eighteen seconds) followed by a fixation cross (i.e., a point on the screen where participants direct their gaze, commonly used in fMRI research during rest periods). For Study 1, the fixation cross was presented on the screen for 3 seconds. For Study 2, the fixation cross was shown for 2–14 seconds. Note that we expect mentalizing and reward-processes to occur during exposure to the humorous political information. As mentioned previously, individuals often use humorous information to accomplish social goals and thus may be likely to begin considering how humorous information can be used at the time of exposure to humorous political information (e.g., through reputational rewards of sharing; Meshi et al., 2013). Similarly, individuals experience feelings of pleasure upon hearing a funny joke.

After watching all the clips, participants were asked to solve arithmetic problems for 20 minutes as a distractor task. The arithmetic problems involved multiplication of a two-digit number by a two-digit number.

The memory test phase followed. First, participants took part in a recall test, in which they were asked to remember the policy propositions mentioned in the news clips. We gave participants 10 minutes to write down as many policy measures as they could remember. Next, the participants were given a recognition memory test. Participants were presented with 32 laws/initiatives that were mentioned in the news clips (“old” items), along with 32 laws/initiatives that shared conceptual/semantic features with the former, but were not actually presented to them during the study phase (“new” items or semantic lures). For example, participants exposed to the statement, “The state constitution may be amended so that the minimum age for serving in the state Senate is lowered to 18-years-old” during the study phase were shown both this statement and a semantic lure (“The state constitution may be amended so that the minimum age for serving in the state Senate is set to 30-years-old”) during the recognition memory test. Participants were asked if each was “old” or “new” (i.e., whether or not they had encountered either during the study phase).

The sharing phase followed the memory test phase. Participants re-watched each of the 32 video clips they had seen,5 and reported how likely they were to (a) talk to another person about content of the clip; (b) email the clip to another person; and (c) share the clip on social media.6 Furthermore, these types of self-report measures have been shown to predict actual sharing behaviors in real-world contexts (e.g., sharing health news articles on social media; Scholz, et al., 2017). In addition, they were asked the extent to which they: (d) supported or opposed the policy mentioned in the clip7; (e) perceived the policy mentioned in the clip as important8; and (f) perceived the clip as funny.9

The fMRI image acquisition

For Study 2, neuroimaging data were acquired using a 3 Tesla Siemens Magnetom MRI scanner equipped with a 64-channel head coil. Two functional runs were acquired for each participant (360 volumes per run). Two functional images were recorded using a multiband sequence (TR = 1,000 ms, TE = 32 ms, flip angle = 60 degrees, 56 axial slices, FOV = 208 mm, slice thickness = 2.5 mm; voxel size = 2.5 × 2.5 × 2.5 mm). We used a multi-band acceleration factor of 4. We also acquired a high-resolution T1-weighted image using an MP-RAGE sequence (TR = 1,850.0 ms, 160 slices, voxel size = 0.9 × 0.9 × 1.0 mm) for use in co-registration and normalization. The first 6 volumes of each run were not collected from the scan.

The fMRI data preprocessing

Functional data were pre-processed and analyzed using FSL and Statistical Parametric Mapping (SPM8, Wellcome Department of Cognitive Neurology, Institute of Neurology, London, UK). Data were corrected for differences in the time of slice acquisition using sinc interpolation, spatially realigned to correct for head motion, and co-registered to the structural image. Data were then normalized to the skull-stripped Montreal Neurological Institute (MNI) template provided by FSL (FMRIB Software Library; MNI152_T1_1mm_brain.nii). Functional images were smoothed using a Gaussian kernel (8 mm full width at half maximum). For pre-whitening, the first level models used the SPM8 default of AR(1) prewhitening and a high pass filter at 128.

The fMRI data analysis

We adopted a region of interest approach to investigate the relationship between parameter estimates of neural activity during exposure to the news clips. Analyses were conducted using brain activation extracted from sets of a priori theory-driven regions of interest implicated in mentalizing and reward during the time period when participants were exposed to each news clip. To harmonize our fMRI data with other data that pertains to our hypotheses (e.g., recall data and sharing data), we created design matrices for each participant in SPM8, modeling activity that was greater during exposure to each video clips in the scanner, than during rest/fixation periods, with a single boxcar regressor for each video clip of varying durations, with the ultimate goal of using these estimates in further analyses that relate activation to each clip to outcomes of interest such as later recall and sharing. We extracted parameter estimates from ROIs associated with reward and mentalizing processes during exposure to each video clip for each participant using MarsBaR (Brett et al., 2002) and converted them to percent signal change,10 resulting in 32 values (one for each video) for each of the brain regions (VMPFC, VS, regions associated with the mentalizing network) for each participant. Six rigid-body translation and rotation parameters derived from spatial realignment were also included as nuisance regressors in all first-level models.

We then estimated mixed-effects regressions using the lmer package (Bates et al., 2015) in R to account for repeated observations nested within individuals. Hypotheses 2 and 6 treat extracted estimates of brain activity associated with each of the 32 video clips per participant in mentalizing or reward regions as the dependent variable, and humor (e.g., humor = 1, nonhumor = 0) as the independent variable. Hypotheses 3, 5, 7, and 8 treat neural activity as the independent variable and recall and sharing measures as the dependent variables, respectively.

Content analysis of recollected material

For both studies 1 and 2, two coders (blind to the study’s hypotheses and conditions) independently coded all the participants’ responses for recall accuracy of the general semantic content of an issue. For example, a response of “judges having limits” would be counted as a successful memory retrieval of “Lawmakers will create term limits for judges on the state Supreme Court.” Intercoder reliability was high for both studies (Study 1 Krippendorff’s alpha = .81; Study 2 Krippendorff’s alpha = .89). The two coders disagreed on 6.7% of the cases in Study 1 and 4.5% of the cases in Study 2. We used a third coder (blind to the study’s hypotheses and conditions) to resolve the cases in which the original two coders disagreed.

Statistical analyses and key variables

We used either a linear or logistic mixed-effects models for all regression analyses. We utilized a random intercepts model for participants and policy issues to account for the nonindependence of each participant’s responses to multiple stimuli items. Our primary independent variable is the humor condition (coded as humor = 1, nonhumor = 0).

The three key dependent variables related to sharing were the participants’ self-reported intention to share the news clip (via a face-to-face conversation, email, or social media; coded from 1 to 7; Very Unlikely to Very Likely). The key dependent variables related to memory were (1) people’s ability to accurately remember each of the 32 policy positions (gist recall; recall = 1, no recall = 0) and (2) d-prime as a measure of recognition memory. For recognition memory, we calculated the hit rate (proportion of items correctly classified as “old”) and the false alarm rate (proportion of new items incorrectly classified as “old”). Recognition memory was assessed using the discriminability index d-prime, which takes into account information about hit and false alarm rates (Macmillan and Creelman, 2005).11 A d-prime score above 0 suggests that participants are able to reliably discriminate old and new items (instances in which the hit rate is greater than the false alarm rate). A score of 0 suggests that participants are unable to discriminate between old and new items (instances in which the hit rate is equal to the false alarm rate). We also conducted parallel analyses using the nonparametric measure A-prime (see supplemental materials).

The key variables for neural activity were the six mentalizing regions. Specifically, we examined activity in six regions that were previously defined by a large-scale study of mentalizing (Dufour et al., 2013). This network is comprised of the right temporoparietal junction (RTPJ), left temporoparietal junction (LTPJ), dorsal and middle components of the medial prefrontal cortex (DMPFC and MMPFC), precuneus (PC), and right superior temporal sulcus (RSTS; see Figure 2). For reward, we used neutral activity in two regions that comprise the ventral medial prefrontal cortex (VMPFC) and ventral striatum (VS) as defined by a meta-analysis of the neural correlates of subjective value (Bartra et al., 2013; see Figure 2).

Figure 2.

Figure 2

Neural regions of interest associated with (top) reward/valuation identified in a meta-analysis of positive valuation, and (bottom) mentalizing, chosen from a large-scale study of mentalizing.

Results

Manipulation check

We examined the extent to which participants perceived the humorous news stories to be funnier than nonhumorous news stories, using their self-reported ratings of the news clip. For Study 1, consistent with our pre-testing, the self-report data revealed that humorous news stories (M = 3.1, SD = 1.1) were more likely to be perceived as funny compared to the nonhumorous news stories (M = 1.94, SD = 0.88), Z = −3.9, p < .001; r = .62). Similarly, in Study 2, humorous news stories (M = 3.4, SD = 1.08) were more likely to be perceived as funny compared to the nonhumorous news stories (M = 1.98, SD = 0.88), Z = −4.9, p < .001; r = .72.12

Preregistered analyses

Sharing humorous vs. nonhumorous political information (H1)

We used data from the sharing phase to test our hypothesis that individuals will be more likely to share news stories delivered in a humorous than nonhumorous format (H1). We estimated three regression models for each of the studies with humor as the independent variable and three self-reported intentions to share as dependent variables.13 As predicted, both participants in Study 1 and Study 2 were more likely to share humorous than nonhumorous news clips via email and social media (Table 2). There were no differences in their likelihood of sharing humorous and nonhumorous news clips via face-to-face conversations for both studies. We obtained substantively similar results with a model using co-variates (e.g., ratings of actor attractiveness, extent to which video clips were confusing; see supplemental materials). Overall, we found support for the hypothesis that individuals will be more likely to share news stories delivered in a humorous than nonhumorous format.

Table 2.

Intention to Share and Memory Accuracy

Sharing Memory

Face to face Email Social media Recall

Study 1 Study 2 Study 1 Study 2 Study 1 Study 2 Study 1 Study 2
Humor 0.12 0.12 0.21* 0.20** 0.29** 0.22*** 0.60** 0.65***
(0.15) (0.12) (0.10) (0.07) (0.11) (0.08) (0.19) (0.19)

Note: Linear mixed-effects regression coefficients are shown with standard errors in parentheses for sharing analyses. Logistic mixed-effects regression coefficients with standard errors in parentheses are shown for memory analyses. For the dependent variable in the memory analyses, accurate memory = 1 and inaccurate/no memory = 0. Humor is the independent variable (humorous = 1, non-humorous = 0).

*

p < .05

**

p < .01

***

p < .001.

Mentalizing for humorous vs. nonhumorous political information (H2)

To test our hypothesis that humorous news stories will be more likely to elicit greater activity in brain regions associated with mentalizing (H2), we used humor as an independent variable and neural activity in each of the six regions associated with the mentalizing networks as dependent variables.14 As can be seen in Table 3, we found some support for Hypothesis 2. Consistent with our expectations, humorous news stories elicited greater neural activity in the left temporoparietal junction (LTPJ) and right superior temporal sulcus (RSTS) compared to nonhumorous news stories. Contrary to our expectations, humorous news stories elicited less neural activity in the precuneus (PC) compared to nonhumorous news stories. Finally, there were no differences in the neural activity in the right temporoparietal junction (RTPJ), and dorsal and middle components of the medial prefrontal cortex (DMPFC and MMPFC) between the humorous and nonhumorous news stories. Thus, we found some support for the hypothesis that political information conveyed in a humorous manner elicited greater neural activity in regions chosen for their role in mentalizing (LTPJ, RSTS) than nonhumorous information.

Table 3.

Neural Activity in Mentalizing and Reward Regions

Mentalizing regions Reward regions

LTPJ RTPJ DMPFC MMPFC PC RSTS VMPFC VS
Humor 0.009** 0.002 0.005 −0.0003 −0.01** 0.012** −0.01** 0.0008
(0.003) (0.003) (0.004) (0.004) (0.004) (0.003) (0.005) (0.003)

Note: Brain regions chosen for their role in mentalizing include the right temporoparietal junction (RTPJ), left temporoparietal junction (LTPJ), dorsal and middle portions of the medial prefrontal cortex (DMPFC, MMPFC), the precuneus (PC), and right superior temporal sulcus (RSTS). Regions associated with reward include the ventromedial prefrontal cortex (VMPFC) and the ventral striatum (VS). Linear mixed-effects regression coefficients are shown with standard errors in parentheses. Humor is the independent variable (humorous = 1, non-humorous = 0).

*

p < .05

**

p < .01.

Association between mentalizing regions and sharing (H3)

Next, we tested the extent to which greater mentalizing activity was associated with increased sharing (H3). Each of the six neural regions associated with mentalizing were our independent variables. For our dependent variable, we focused on participants’ self-reported intentions to share the news clip by either email or social media (dependent variables), as these outcomes were greater for humorous than nonhumorous news clips. As can be seen in Table 4, greater activity in the LTPJ, RTPJ, and RSTS was associated with greater rates of intention to share via social media. We found some support for the hypothesis that greater mentalizing activity will be associated with increased sharing (H3).

Table 4.

Neural Activity in Mentalizing Regions and Associations with Intentions to Share

Intentions to share
Email Social media

LTPJ 0.75 (0.54) 1.35* (0.57)
RTPJ 0.65 (0.57) 1.33* (0.60)
DMPFC −0.02 (0.36) 0.41 (0.39)
MMPFC −0.40 (0.37) 0.28 (0.40)
PC −0.13 (0.38) 0.35 (0.40)
RSTS 0.52 (0.55) 1.19* (0.59)

Note: Note that the models are linear mixed-effects regressions, focused on outcomes that were responsive to humor (i.e., showed differences between humorous and non-humorous conditions). Mentalizing regions include the right temporoparietal junction (RTPJ), left temporoparietal junction (LTPJ), dorsal and middle portions of the medial prefrontal cortex (DMPFC, MMPFC), the precuneus (PC), and right superior temporal sulcus (RSTS). As specified in the preregistration document, these models were estimated with the humor variable (humor = 1, nonhumor = 0) as a covariate.

*

p < .05.

Memory for humorous vs. nonhumorous political information (H4)

Next, we tested whether individuals were more likely to remember political information delivered in a humorous than nonhumorous context (H4). We used humor as an independent variable and people’s ability to accurately remember each of the 32 policy positions as a dependent variable. Across both studies, a significant and positive effect of humor (Study 1: B = .60, SE = .19, p < .01; Study 2: B = .65, SE = .19, p < .01) suggests that participants were more likely to remember policy information when it was conveyed in a humorous than nonhumorous manner (see Table 2).15

In terms of recognition memory for Study 1, we found that participants were more likely to discriminate between old and new policy issues that were conveyed in a humorous (Mean d-prime = 1.66, SD = 0.99) than nonhumorous format (Mean d-prime = 1.4, SD = 0.82), Z = −2.3, p = .01; r = .37. In Study 2, participants were no more likely to discriminate between old and new policy issues that were conveyed in a humorous (Mean d-prime = 1.35, SD = .89) and nonhumorous format (Mean d-prime = 1.26, SD = .86, Z = −.65, p = .51; r = .09. An analysis using A-prime yielded substantively similar results (see supplemental materials). Overall, we found support for the hypothesis (H4) that individuals will be more likely to remember political information delivered in a humorous than nonhumorous context.

Association between mentalizing regions and memory (H5)

Next, we tested the extent to which greater mentalizing activity was associated with increased likelihood of remembering information (H5). We found either no statistically significant associations or negative associations (MMPFC, PC) between mentalizing regions and people’s tendency to remember political information (see supplemental materials). We therefore did not find support for the hypothesis that greater mentalizing activity will be associated with an increased likelihood of remembering information (H5).

Reward responses for humorous vs. non-humorous political information (H6)

To test our hypotheses that humorous news stories would be more likely to elicit greater activity in brain regions associated with reward (H6), we used humor as an independent variable and neural activity in the VMPFC and the ventral striatum as dependent variables. As can be seen in Table 3, and contrary to our expectations, humorous news stories elicited less neural activity in the VMPFC compared to nonhumorous news stories. There were no statistically significant differences in neural activity in the ventral striatum between the humorous and non-humorous news stories (although the sign of the coefficient is in the predicted direction).

Associations between mentalizing regions and sharing and memory (H7, H8)

We found no support for the hypothesis that greater reward activity was associated with increased likelihood of remembering information (H7) and sharing (H8; see supplemental materials).

Comparison of effects across levels of funniness within the humor condition

Finally, we considered the possibility that the humor/nonhumor conditions are confounded with instances in which participants’ expectations about appropriate behaviors are violated/not-violated. Under this account, people usually do not expect anchors auditioning for news stories to insert jokes in the middle of their auditions. In other words, the humor condition could constitute trials in which participants’ expectations are violated and the nonhumorous condition could constitute trials in which the participants’ expectations are not violated. The effects, then, on sharing and memory may be due to processes elicited when participants’ expectations about appropriate behaviors are violated/nonviolated instead of the humor/nonhumor manipulation.

To address this alternative explanation, we conducted exploratory analyses restricted to trials in which the anchor inserted jokes (i.e., the humor condition). We then estimated mixed-effects regression models in which we used participants’ funniness ratings as the independent variable and participants (a) self-reported sharing intentions and (b) gist recall as dependent variables. Since these analyses involve a comparison of participants’ funniness ratings within the humor condition (i.e., trials in which the anchor inserted a joke), violation of expectation cannot explain any observed effects of the funniness ratings on sharing and memory.

As can be seen in the supplemental materials, an increase in funniness ratings were positively associated with all three sharing measures across both studies 1 and 2. Funniness ratings were also marginally and positively associated with gist recall for Study 2 (but not Study 1). Taken together, these results are consistent with the explanation that perceptions of humor/funniness are driving the results.

Summary

We found support for our first four hypotheses. Specifically, humorous, as compared to nonhumorous, political information is more likely to be shared with others (H1) and elicit greater activity in some brain regions associated with mentalizing, including LTPJ and RSTS (H2). Furthermore, greater mentalizing activity in LTPJ, RTPJ, RSTS is associated with increased sharing (H3). Individuals were also more likely to remember humorous than nonhumorous political information (H4).

We did not find support for our last four hypotheses. In particular, greater mentalizing activity was not associated with accurate memory (H5). Humorous political information did not elicit greater activity in reward regions (H6). Finally, greater activity in reward regions was not associated with increased remembering (H7) and sharing (H8).

Exploratory whole-brain analyses

We also conducted a series of exploratory whole-brain searches for regions in which neural activity was greater for the humorous condition than nonhumorous condition.16 Overall, we found support for our theoretical expectation that regions previously involved in mentalizing would also be associated with humor.

In our whole brain search, we observed greater activity in sub-regions of TPJ and DMPFC, as well as bilateral STS for humorous > nonhumorous stimuli. Outside of our planned regions of interest, we only observed activations in a small number of additional regions, suggesting that global changes in activation do not explain the main phenomenon described above. Specifically, we found greater activity in regions comprising the supplementary motor area (SMA) and the globus pallidus during the humorous than the nonhumorous condition. Finally, we observed greater activity in the cerebral crus in the humor than nonhumor condition.

Discussion

The primary aim of this study was to examine the extent to which individuals were more likely to share political information conveyed in a humorous than a nonhumorous manner and whether brain activity in regions chosen for their role in understanding other people’s mental states—mentalizing—and reward, is associated with sharing political information with others. We used fMRI to measure simultaneously activity within brain regions chosen for their roles in mentalizing and reward processes as individuals were exposed to humorous and nonhumorous news stories. Furthermore, we utilized carefully constructed news segments created by professional writers and actors in order to isolate the causal effects of humor on brain activity, information sharing, and memory.

Individuals were more likely to share news stories delivered in a humorous than nonhumorous format (H1). Across studies 1 and 2, data from people’s intention to share ratings indicate that participants were more likely to share humorous than nonhumorous news clips via email and social media. There were no differences in their likelihood of sharing humorous and nonhumorous news clips via face-to-face conversations in both studies 1 and 2. This difference across media may due to the nature of our stimuli (short video clips) as it is likely easier to share short videos via electronic media.

Humorous news stories elicited greater activity in brain regions associated with mentalizing than nonhumorous news stories (H2). In particular, our analyses revealed that humorous news stories elicited greater neural activity in the left temporoparietal junction (LTPJ) and right superior temporal sulcus (RSTS) compared to nonhumorous news stories. Likewise, in our whole-brain analysis, we found that humorous clips elicited greater activity than nonhumorous clips in several regions implicated in mentalizing, including LTPJ, RTPJ, RSTS, and DMPFC. Furthermore, consistent with recent neurally-grounded theories of information sharing (Baek et al., 2017; Scholz et al., 2017), we found that activity in the LTPJ, RSTS, and RTPJ was positively associated with intentions to share information about the news clips via social media.

In prior work, different regions within the mentalizing system have been associated with distinct aspects of mentalizing and social cognition more broadly. For example, the LTPJ has been suggested to play a particular role in reflecting on another person’s beliefs (Saxe and Powell, 2006) while the DMPFC plays a more general role as in when individuals assess social information such as personality traits (Beer and Ochsner, 2006; Mitchell, Cloutier, Banaji, and Macrae, 2006), social status (Muscatell et al., 2012), and emotional facial expression (Brunet-Gouet and Decety, 2006). We found support in both our planned region of interest and exploratory whole-brain search that humorous clips activated LTPJ and RSTS more than nonhumorous clips. Although we did not observe robust support for an association between humor and DMPFC in our planned region of interest analyses, we did observe activations in a sub-cluster of DMPFC in a whole-brain search. Thus, it is possible that perspective taking (more robustly associated with LTPJ and RSTS) is a key component of mentalizing relevant to processing humorous news clips and deciding whether to share them, or that the DMPFC subregion of the mentalizing system consists of neurons which respond to humor, as well as other neurons which don’t. As a result, in a large region of interest that averaged across sub-regions that were more and less responsive to humor, we did not detect a significant effect, whereas the whole-brain analysis did identify a more focal cluster in DMPFC which responded to humor. These findings are consistent with the notion that thinking about the mental state of others with whom to share information is indexed by neural activity in these regions (for a review, see Falk and Scholz, 2018).

We also found support for our hypotheses linking brain activity in LTPJ, RSTS, and RTPJ to sharing (H3). Specifically, we found that increased activation in brain regions that showed greater activation to humorous clips, including LTPJ and RSTS, along with RTPJ, were positively associated with participants’ intentions to share the clips online. This is consistent with the idea that considering other people’s possible reactions to content is associated with motivation to share (Baek et al., 2017; Scholz et al., 2017; Meshi et al., 2015). However, activity in these brain regions does not allow us to infer the target of mentalizing activity (e.g., family member or friends of participants) nor the reasons for why they may wish to share information (e.g., whether driven by self-interest such as wanting to look good or persuade another person or altruistic reasons such as wanting to make them laugh or stay informed). Further, activation within these brain regions does not correspond in a one-to-one manner with mentalizing. For example, consistent with prior theoretical views that humor increases attention to information (Hardy, Gottfried, Winneg, and Jamieson, 2014; Kim and Vishak, 2008), activity in LTPJ has also been associated with attention-reorientation (Corbetta et al., 2008), which could occur as a result of social or nonsocial processes.

We found support for Hypothesis 4: Individuals were more likely to remember political information delivered in a humorous than nonhumorous fashion. This positive effect of humor on memory performance was observed in the recall test in Study 1 and the finding was replicated in Study 2. For the recognition memory test, we observed a positive effect of humor on memory performance for Study 1 but we found no difference in people’s recognition memory for the policy information across the humorous and nonhumorous conditions in Study 2. Given that the recall exercise tested people’s ability to remember gist-like representations of the policy issues (e.g., the general topic discussed) and the recognition test measured people’s ability to remember more specific details about the policies, our findings suggest that the memory-enhancing effects of humor on gist memory may be more robust to differences in learning contexts than memory for specific details of political information.

We did not observe positive associations between any of our focal regions of interest related to mentalizing and recall (H5). Although we did observe that decreased activity in brain regions that were less active to humorous (vs. nonhumorous) clips, including PC and MMPFC, were also associated with reduced recall.

We did not find that humorous news stories were more likely to elicit greater activity in regions of ventral striatum and VMPFC (chosen for their role in reward processing) than nonhumorous news stories (H6). In addition, neural activity in reward regions was not associated with increased remembering (H7) and sharing (H8).

In the case of the ventral striatum, and contrary to previous studies in other domains examining the neural regions associated with responses to humor (Mobbs et al., 2003), there were no differences in the neural activity between the humorous and nonhumorous news stories (although the sign of the regression coefficient is in the predicted direction). One likely explanation for this result is that our sample found the humorous news stories to be only mildly funnier than the nonhumorous news stories. Thus, it is possible that clips perceived as highly funny (such as clips taken from actual news shows) would show effects in these brain regions. This is a possibility that future research can explore.

Collectively, our findings are consistent with the theoretical view that humor may increase considerations of others beliefs or mentalizing given the social goals that can be accomplished by sharing information with others. Furthermore, to our knowledge, the role of mentalizing processes has not been emphasized in theoretical models that explain why individuals are likely to direct higher levels of attention to political information when it is delivered in a humorous versus a nonhumorous format (Hardy et al., 2014; Kim and Vishak, 2008). Considerations of the role played by mentalizing processes are important given emerging empirical evidence from other domains suggesting that information conveyed in a humorous manner can have positive effects on internet virality for some types of social information (Taecharungroj and Nueangjamnong, 2015). In addition, much of the information people encounter in their everyday lives is obtained second-hand through interpersonal channels (Hirst and Echterhoff, 2012).

Despite the promising results, however, the findings should be interpreted in light of the study’s limitations. The participants across both studies were not a nationally representative sample. Our samples consisted mainly of individuals who self-identified as Democrat or liberal. This is important given emerging work suggesting that liberals and conservatives differ in the types of humor they perceive as funny (Young, 2019; Young et al., 2019). For example, conservatives are less likely to appreciate exaggerated and ironic form of humor compared to liberals (Young et al., 2019). Our stimuli primarily consisted of ironic humorous juxtapositions—which were perceived as funny by a largely liberal sample. Conservatives, then, may be less likely to share this type of humorous information than nonhumorous information, compared to liberals. Furthermore, if people of different political orientations find different types of stimuli funny, then humor type may moderate the relationship between mentalizing and sharing. Future work should investigate the extent to which the effects we observe here are also obtained for an ideologically-balanced sample of people, and the extent to which variability in humor type might moderate these effects.

In this study, our primary goals were to examine the extent to which humor can causally increase mentalizing, memory, and sharing of political information. Thus, we intentionally did not choose well-known, highly partisan/affectively charged issues (e.g., gun control, affirmative action, immigration, abortion) because we wanted to minimize the effects of differences in participants’ prior knowledge about the issues and perceptions that the clips are offensive. The stimuli, therefore, are not representative of the broad array of policies that populate the political environment and cannot speak to contexts in which the use of humor in conveying political information may be more likely to be perceived as inappropriate or offensive (see Nabi, Moyer-Guseé, and Byrne, 2007).

Similarly, we controlled for many factors that would not exist in naturalistic contexts and are likely to change how humor affects people’s memory for political information. For example, people tend to have prior knowledge about news anchors and viewers may have positive/negative affective associations tied to specific anchors. Existing shows (e.g., The Daily Show) may also be funnier than our clips and, thus, could produce stronger reward responses at the moment of exposure and while anticipating engagement with humorous content.

Our interpretation of brain activity and its relationship to cognitive processes is also based on reverse inference (see Weber et al., 2015). That is, we hypothesize that humor should elicit greater levels of mentalizing, and then operationalize greater mentalizing in terms of brain activity in specific regions (e.g., TPJ, DMPFC). Within this context, we treat activation in hypothesized brain regions as being due to engagement of a specific psychological process (e.g., mentalizing). However, alternative processes (ones other than mentalizing) may also be indexed by the brain activity we observe in our task. For example, activation within LTPJ has also been associated with attention-reorientation (Corbetta et al., 2008). In other words, reverse inference limits our ability to make definitive conclusions about the psychological processes observed (Poldrack and Wagner, 2004). Note that issues associated with reverse inference are not exclusive to fMRI as they are also applicable to other survey-based, behavioral (e.g., response times) and psychophysiological techniques (e.g., skin conductance response) used by communication scholars (Coronel and Falk, 2017). With this limitation in mind, it is still important to note that we find activation in brain regions that are consistent with our preregistered and theory-driven hypotheses about underlying psychological processes, adding evidence to the line of research.

Despite these limitations, our studies highlight the utility of combining multiple measures to examine cognitive and affective processes involved as people are exposed to media content. FMRI allowed us to simultaneously examine multiple neurocognitive processes as individuals were exposed media content. Future work can utilize the paradigm and analytical approaches we developed here to study the involvement of multiple processes—such as the activation of brain systems implicated in mentalizing and reward—in message processing of other entertainment-based content. For example, future studies can examine the extent to which other message formats, such as narratives, or other forms of humor, may increase activation in similar or different regions. In addition, studies can use fMRI to study other mechanisms, beyond those targeted here, that can underlie sharing of humorous political information.

Although we focused on mentalizing here, there are other theoretical views that may provide other explanations for why individuals are more likely to share humorous political information. For example, broaden-and-build theory (Fredrickson, 2001) postulates that positive emotions broaden individuals’ momentary thoughts and actions, leading them to pursue a wider range of thoughts and behaviors. These larger repertoires of thoughts and actions have been theorized to have evolutionary usefulness because they can allow individuals to build a variety of resources including friendships and social support networks. In the context of sharing media content, previous work has used broaden-and-build theory to explain why individuals may share pro-social media content with others (Clayton et al., 2019). Other scholars have theorized that emotional shifts that occur over the course of consuming media content (e.g., shift from a neutral to a happy state) may also create a desire to share the content with others (Nabi and Green, 2014). These different processes may occur simultaneously and future work can examine their individual and joint involvement in social sharing of political information.

In terms of other future work, we expect this process of mentalizing to occur generally, across different contexts, intended audience, and modality, because individuals need to consider how people will respond if a communicator shares a particular piece of humorous information with an audience. For example, mentalizing may occur at the time of exposure to a humorous political message, as communicators begin to consider with whom they may share the joke in order to fulfill a social goal. Or, they can engage in mentalizing at a later point – long-after exposure to the message – if a context arises in which sharing humorous political information would accomplish a social goal. Furthermore, mentalizing in response to humor should occur regardless of whether the intended audience is a single individual (in a face-to-face conversation) or a broad audience such as one’s network on social media (although the base levels of mentalizing are greater for narrow vs. broadcasting; Scholz et al., 2020), we expect that humor would increase these levels in both cases). In addition, future research that examines ways of increasing mentalizing (and in turn memory and sharing) beyond the use of humor could also be fruitful.

Finally, future work can examine the use of humor to convey information about highly partisan issues and contexts where sharing humorous information may be perceived as inappropriate. Mentalizing is relevant in these contexts because a communicator’s assessment of whether it is appropriate or inappropriate to share humorous political information with a specific person, likely requires that they assess the receiver’s values and attitudes to determine whether the receiver will find the information funny or offensive (e.g., “this person has strong feelings about immigration and will likely not find jokes about immigration funny, and may even get angry”). Our study, then, compels further investigations into mentalizing and its role in social sharing for political information that individuals possess a high level of knowledge and emotional associations (i.e., highly partisan issues).

In summary, our results show that conveying information in a humorous than a nonhumorous format can increase people’s considerations of others’ beliefs and likelihood of sharing information with others. Furthermore, delivering information in a humorous manner can enhance memory for political information. Critically, humor has important causal effects on increasing brain activity in key brain regions involved in social cognition, improving memory for political information, and increasing people’s tendency to share information with others.

Supplementary Material

Supplementary Materials for Rejection sensitivity and interaction quality in everyday life

Additional Supporting Information may be found in the online version of this article.

Please note: Oxford University Press is not responsible for the content or functionality of any supplemental materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article.

Figure 3. Exploratory whole-brain search.

Figure 3

Acknowledgments

We are grateful to Elizabeth Beard, Jackie Cho, Lizette Grajales, Jared MacDonald, Kristin Shumaker, Stefano Todaro, and Mark Toubman for their help in data collection, creation of the stimuli, or coding participants’ responses. We also thank Allen Strickland Williams for writing the jokes, Bradley Beck and CJ Kish for playing the news anchors, and Emma Fletcher for helping us find a comedy writer. We also thank Emma Hite for creating some of the figures in this article. Finally, we also thank graduate students enrolled in Communication Research Methods at The Ohio State University for their helpful feedback and comments on early drafts of the article.

Funding

This work was supported by a National Instintute of Health New Innovator Award (NIH 1DP2DA03515601) to Emily B. Falk and a National Science Foundation SBE Postdoctoral Research Fellowship (No. 1360732) to Jason C. Coronel The content is solely the responsibility of the authors and does not necessarily represent the official views of any of the funding agencies.

Footnotes

1.

See supplemental materials for information about how the conceptual hypotheses presented here map on to the operational hypotheses described in the preregistration document.

2.

This study is part of a larger project examining neural responses to political information. This is the first article from this project. Other data are not reported here and will be reported in a separate article.

3.

375 participants on MTurk rated the clips (“How funny is this clip?” 1 = not at all funny, 6 = extremely funny). We then calculated the average rating for each of the 128 items. The Welch two-sample t-test compares the humorous (64 items) and non-humorous clips (64 items).

4.

Participants in Study 2 wore noise-canceling headphones while in the MRI scanner (they were in the MRI during the study phase only).

5.

Participants had to re-watch the clips prior to making sharing ratings because having them rely on their memory for the clips would introduce a confound if participants were more likely to remember humorous than non-humorous clips.

6.

All measured on a 7-point scales ranging from 1 = very unlikely to 7 = very likely.

7.

Measured on a 5-point scale ranging from 1 = strongly oppose to 5 = strongly support.

8.

Measured on a 5-point scale ranging from 1 = not at all important to 6 = very important.

9.

Measured on a 6-point scale ranging from 1 = not funny at all to 6 = very funny.

10.

Percent signal change is calculated as percent change in neural signal as compared to a baseline. Here, the baseline is defined as the residual value in the first level GLM in SPM. In other words, here the baseline is the mean signal value if the regressors (humor, nonhumor, and motion parameters) were set to zero.

11.

In the memory literature, item recognition z-ROCs (i.e., a plot of the z-transformed hit rate vs. the z-transformed false alarm rate) are typically linear (Ratcliff, Sheu, & Gronlund, 1992) suggesting that the signal and noise parameters (assumed by d-prime analyses) follow a normal distribution. As such, we used d-prime analysis in the study.

12.

All paired tests in studies 1 and 2 use a non-parametric Wilcoxon signed-rank test.

13.

Note that we have an n of 47 participants in our sharing analyses given that our survey platform (Qualtrics) failed to record the responses of one participant.

14.

Note that the VMPFC has also been implicated in the set of regions associated with metalizing. For this study, we included the VMPFC within our measure of valuation/reward processing, and hence excluded it from the mentalizing map.

15.

We also obtained substantively similar results with a model using co-variates (e.g., ratings of actor attractiveness, extent to which video clips were confusing; see supplemental materials).

16.

Whole-brain maps used 3dClustSim simulation (Version AFNI_16.2.02)

References

  1. Atherton LA, Dupret D, & Mellor JR (2015). Memory trace replay: The shaping of memory consolidation by neuromodulation. Trends in Neurosciences, 38(9), 560–570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Baek EC, Scholz C, O’Donnell MB, & Falk EB (2017). The value of sharing information: A neural account of information transmission. Psychological Science, 28(7), 851–861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bartra O., McGuire JT., & Kable JW.(2013). The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. NeuroImage, 76, 412–427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bates D, Mächler M, Bolker B, & Walker S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1–48. doi: 10.18637/jss.v067.i01. [DOI] [Google Scholar]
  5. Baumgartner J, & Morris JS (2006). The Daily Show effect: Candidate evaluations, efficacy, and American youth. American Politics Research, 34(3), 341–367. [Google Scholar]
  6. Beer JS, & Ochsner KN (2006). Social cognition: A multi level analysis. Brain Research, 1079(1), 98–105. [DOI] [PubMed] [Google Scholar]
  7. Bitterly TB, Brooks AW, & Schweitzer ME (2017). Risky business: When humor increases and decreases status. Journal of Personality and Social Psychology, 112(3), 431–455. [DOI] [PubMed] [Google Scholar]
  8. Brader T. (2006). Campaigning for hearts and minds: How emotional appeals in political ads work. Chicago, IL: University of Chicago Press. [Database] [Google Scholar]
  9. Brett M, Anton J, Valabregue R. and Poline J. (2002, August). Region of interest analysis using an SPM toolbox. Paper presented at the 8th International Conference on Functional Mapping of the Human Brain, Sendai, Japan. [Google Scholar]
  10. Brunet-Gouet E, & Decety J. (2006). Social brain dysfunctions in schizophrenia: a review of neuroimaging studies. Psychiatry Research: Neuroimaging, 148(2–3), 75–92. [DOI] [PubMed] [Google Scholar]
  11. Cacioppo JT, Gardner WL, & Berntson GG (1999). The affect system has parallel and integrative processing components: Form follows function. Journal of Personality and Social Psychology, 76(5), 839–855. [Google Scholar]
  12. Carlson TN (2019). Through the grapevine: informational consequences of interpersonal political communication. American Political Science Review, 113(2), 325–339. [Google Scholar]
  13. Cassidy BS, & Gutchess AH (2012). Social relevance enhances memory for impressions in older adults. Memory, 20(4), 332–345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Clayton RB, Raney AA, Oliver MB, Neumann D, Janicke-Bowles SH, & Dale KR (2019). Feeling transcendent? Measuring psychophysiological responses to self-transcendent media content. Media Psychology. doi: 10.1080/15213269.2019.1700135. [DOI] [Google Scholar]
  15. Corbetta M, Patel G, & Shulman GL (2008). The reorienting system of the human brain: from environment to theory of mind. Neuron, 58(3), 306–324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Coronel JC, & Falk EB (2017). Functional Magnetic Resonance Imaging and Communication Science. In Matthes J(Ed.) The International Encyclopedia of Communication Research Methods (pp 1–9). Hoboken, NJ: John Wiley & Sons. doi: 10.1002/9781118901731.iecrm0108 [DOI] [Google Scholar]
  17. Coronel JC, & Sweitzer MD(2018). Remembering political messages in dynamic information environments: Insights from eye movements. Human Communication Research, 44, 374–398. [Google Scholar]
  18. Coronel JC, Poulsen S, & Sweitzer MD(2020). Investigating the Generation and Spread of Numerical Misinformation: A Combined Eye Movement Monitoring and Social Transmission Approach. Human Communication Research, 46(1), 25–54. [Google Scholar]
  19. Davis JM, & Farina A. (1970). Humor appreciation as social communication. Journal of Personality and Social Psychology, 15(2), 175–178. [Google Scholar]
  20. Delli Carpini MX, & Keeter S. (1996). What Americans know about politics and why it matters. New Haven, CT: Yale University Press. [Google Scholar]
  21. Delli Carpini MX. (2012). Entertainment media and the political engagement of citizens. In Semetko HA& Scammell M. (Eds.), The SAGE handbook of political communication (pp. 9–21). Thousand Oaks, CA: Sage. [Google Scholar]
  22. Dewey J. (2016). The public and its problems. Athens, OH: Swallow Press. (Original work published 1927.). [Google Scholar]
  23. Diener E, & Diener C. (1996). Most people are happy. Psychological Science, 7(3), 181–185. [Google Scholar]
  24. Dufour N, Redcay E, Young L, Mavros PL, Moran JM, Triantafyllou C, .. . Saxe R. (2013). Similar brain activation during false belief tasks in a large sample of adults with and without autism. PLoS One, [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Falk E, & Scholz C. (2018). Persuasion, influence, and value: Perspectives from communication and social neuroscience. Annual Review of Psychology, 69, 329–356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Frith U, & Frith CD (2003). Development and neurophysiology of mentalizing. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 358(1431), 459–473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Frith CD, & Frith U. (2006). The neural basis of mentalizing. Neuron, 50(4), 531–534. [DOI] [PubMed] [Google Scholar]
  28. Fredrickson BL (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56, 218–226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Gervais M, & Wilson DS (2005). The evolution and functions of laughter and humor: A synthetic approach. The Quarterly Review of Biology, 80(4), 395–430. [DOI] [PubMed] [Google Scholar]
  30. Goel V, & Dolan RJ (2001). The functional anatomy of humor: Segregating cognitive and affective components. Nature Neuroscience, 4(3), 237–238. [DOI] [PubMed] [Google Scholar]
  31. Hardy BW, Gottfried JA, Winneg KM, & Jamieson KH (2014). Stephen Colbert’s civics lesson: How Colbert Super PAC taught viewers about campaign finance. Mass Communication and Society, 17(3), 329–353. [Google Scholar]
  32. Hirst W, & Echterhoff G. (2012). Remembering in Conversations: The Social Sharing and Reshaping of Memories. Annual Review of Psychology, 63(1), 55–79. [DOI] [PubMed] [Google Scholar]
  33. Hoffman LH, & Young DG (2011). Satire, punch lines, and the nightly news: Untangling media effects on political participation. Communication Research Reports, 28, 159–168. [Google Scholar]
  34. Kable JW, & Glimcher PW (2009). The neurobiology of decision: Consensus and controversy. Neuron, 63(6), 733–745. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Kane TR, Suls J, & Tedeschi JT (1977). Humor as a tool of social interaction. In Chapman AJ and Foot HC. It’s a funny thing, humor (pp. 13–16). Pergamon: Oxford. [Google Scholar]
  36. Katz E. (1957). The two-step flow of communication: An up-to-date report on an hypothesis. Public Opinion Quarterly, 21(1), 61–78. [Google Scholar]
  37. Katz E, & Lazarsfeld PF (1955). Personal influence: The part played by people in the flow of mass communications. New York, NY: Free Press. [Google Scholar]
  38. Kim YM, & Vishak J. (2008). Just laugh! You don’t need to remember: The effects of entertainment media on political information acquisition and information processing in political judgment. Journal of Communication, 58(2), 338–360. [Google Scholar]
  39. Knutson B, & Greer SM(2008). Anticipatory affect: neural correlates and consequences for choice. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1511), 3771–3786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Landreville KD, Holbert RL, & LaMarre HL (2010). The influence of late-night TV comedy viewing on political talk: A moderated-mediation model. The International Journal of Press/Politics, 15(4), 482–498. [Google Scholar]
  41. Lieberman MD (2007). Social cognitive neuroscience: A review of core processes. Annual Review of Psychology, 58, 259–289. [DOI] [PubMed] [Google Scholar]
  42. Long DL., & Graesser AC. (1988). Wit and humor in discourse processing. Discourse Processes, 11, 35–60. [Google Scholar]
  43. Luyten P, & Fonagy P. (2015). The neurobiology of mentalizing. Personality Disorders, 6(4), 366–379. [DOI] [PubMed] [Google Scholar]
  44. Lynch OH (2002). Humorous communication: Finding a place for humor in communication research. Communication Theory, 12(4), 423–445. [Google Scholar]
  45. Macmillan NA, & Creelman CD (2005). Detection theory: A user’s guide (2nd ed.). Mahwah, NJ: Erlbaum. [Google Scholar]
  46. Manninen S, Tuominen L, Dunbar RI, Karjalainen T, Hirvonen J, Arponen E, ... Nummenmaa L. (2017). Social laughter triggers endogenous opioid release in humans. The Journal of Neuroscience, 37(25), 6125–6131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Marcus GE, Neuman WR, & MacKuen M. (2000). Affective intelligence and political judgment. Chicago, IL: University of Chicago Press. [Database]. [Google Scholar]
  48. Martin RA, & Ford T. (2018). The psychology of humor: An integrative approach. Amsterdam, The Netherlands: Elsevier. [Google Scholar]
  49. Meshi D, Morawetz C, & Heekeren HR (2013). Nucleus accumbens response to gains in reputation for the self relative to gains for others predicts social media use. Frontiers in Human Neuroscience, 7, 439. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Meshi D, Tamir DI, & Heekeren HR (2015). The emerging neuroscience of social media. Trends in Cognitive Sciences, 19, 771–782. [DOI] [PubMed] [Google Scholar]
  51. Mettee DR, Hrelec ES, & Wilkens PC (1971). Humor as an interpersonal asset and liability. The Journal of Social Psychology, 85, 51–64. [Google Scholar]
  52. Meyer ML, Taylor SE, & Lieberman MD (2015). Social working memory and its distinctive link to social cognitive ability: an fMRI study. Social Cognitive and Affective Neuroscience, 10(10), 1338–1347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Meyer ML, Davachi L, Ochsner KN, & Lieberman MD (2019). Evidence that default network connectivity during rest consolidates social information. Cerebral Cortex, 29(5), 1910–1920. [DOI] [PubMed] [Google Scholar]
  54. Miendlarzewska EA, Bavelier D, & Schwartz S. (2016). Influence of reward motivation on human declarative memory. Neuroscience & Biobehavioral Reviews, 61, 156–176. [DOI] [PubMed] [Google Scholar]
  55. Mill JS (1991). Considerations on representative government. Buffalo, NY: Prometheus Books. (Original work published in 1861). [Google Scholar]
  56. Mitchell JP, Cloutier J, Banaji MR, & Macrae CN (2006). Medial prefrontal dissociations during processing of trait diagnostic and nondiagnostic person information. Social Cognitive and Affective Neuroscience, 1(1), 49–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Mobbs D, Greicius MD, Abdel-Azim E, Menon V, & Reiss AL (2003). Humor modulates the mesolimbic reward centers. Neuron, 40(5), 1041–1048. [DOI] [PubMed] [Google Scholar]
  58. Mondak JJ (1995). Newspapers and political awareness. American Journal of Political Science, 39(2), 513–527. [Google Scholar]
  59. Mondak J. (2010). Personality and the Foundations of Political Behavior. Cambridge, UK: Cambridge University Press. [Google Scholar]
  60. Moran JM, Wig GS, Adams RB Jr., Janata P, & Kelley WM (2004). Neural correlates of humor detection and appreciation. NeuroImage, 21(3), 1055–1060. [DOI] [PubMed] [Google Scholar]
  61. Muscatell KA, Morelli SA, Falk EB, Way BM, Pfeifer JH, Galinsky AD, .. . Eisenberger NI (2012). Social status modulates neural activity in the mentalizing network. NeuroImage, 60(3), 1771–1777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Nabi RL., Moyer-Guseé E., & Byrne S. (2007). All joking aside: A serious investigation into the persuasive effect of funny social issue messages. Communication Monographs, 74, 29–54. [Google Scholar]
  63. Nabi RL, & Green MC (2014). The role of narrative’s emotional flow in promoting persuasive outcomes. Media Psychology, 18, 137–162. [Google Scholar]
  64. O’Doherty JP (2004). Reward representations and reward-related learning in the human brain: insights from neuroimaging. Current Opinion in Neurobiology, 14(6), 769–776. [DOI] [PubMed] [Google Scholar]
  65. Onishi KH, & Baillargeon R. (2005). Do 15-month-old infants understand false beliefs? Science, 308, 255–258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Poldrack RA, & Wagner AD (2004). What can neuroimaging tell us about the mind?: Insights from prefrontal cortex. Current Directions in Psychological Science, 13(5), 177–181. [Google Scholar]
  67. Prior M. (2019). Hooked: How politics captures people’s interest. Cambridge, UK: Cambridge University Press. [Google Scholar]
  68. Rangel A, Camerer C, & Montague PR (2008). A framework for studying the neurobiology of value-based decision making. Nature Reviews Neuroscience, 9(7), 545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Ratcliff R, Sheu CF, & Gronlund SD (1992). Testing global memory models using ROC curves. Psychological Review, 3, 518–535. [DOI] [PubMed] [Google Scholar]
  70. Robinson DT, & Smith-Lovin L. (2001). Getting a laugh: Gender, status, and humor in task discussions. Social Forces, 80(1), 123–158. [Google Scholar]
  71. Saxe R, & Powell LJ (2006). It’s the thought that counts: specific brain regions for one component of theory of mind. Psychological Science, 17(8), 692–699. [DOI] [PubMed] [Google Scholar]
  72. Scholz C, Baek EC, Brook O’Donnell M, & Falk EB (2020). Decision-making about broad- and narrow casting: a neuroscientific perspective. Media Psychology, 23(1), 131–155. [Google Scholar]
  73. Scholz C, Baek EC, O’Donnell MB, Kim HS, Cappella JN, & Falk EB (2017). A neural model of valuation and information virality. Proceedings of the National Academy of Sciences of the United States of America, 114(11), 2881–2886. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Scholz C, & Falk EB (2017) The neuroscience of information sharing. In Gonzalez-Bailon S, Welles F. (Eds.), Handbook of communication in the networked age (pp. 285–307). Oxford, UK: Oxford University Press. [Google Scholar]
  75. Schultz W, Dayan P, & Montague PR (1997). A neural substrate of prediction and reward. Science, 275, 1593–1599. [DOI] [PubMed] [Google Scholar]
  76. Shohamy D, & Adcock RA (2010). Dopamine and adaptive memory. Trends in Cognitive Sciences, 14(10), 464–472. [DOI] [PubMed] [Google Scholar]
  77. Shteynberg G, Hirsh JB, Apfelbaum EP, Larsen JT, Galinsky AD, & Roese NJ (2014). Feeling more together: Group attention intensifies emotion. Emotion, 14(6), 1102–1114. [DOI] [PubMed] [Google Scholar]
  78. Szabo A. (2003). The acute effects of humor and exercise on mood andanxiety. Journal of Leisure Research, 35, 152–162. [Google Scholar]
  79. Taecharungroj V, & Nueangjamnong P. (2015). Humour 2.0: Styles and types of humour and virality of memes on Facebook. Journal of Creative Communications, 10(3), 288–302. [Google Scholar]
  80. Vinton KL (1989). Humor in the workplace: Is it more than telling jokes. Small Group Behavior, 20(2), 151–166. [Google Scholar]
  81. Wagner U, Galli L, Schott BH, Wold A, van der Schalk J, Manstead AS, .. . Walter H. (2015). Beautiful friendship: Social sharing of emotions improves subjective feelings and activates the neural reward circuitry. Social Cognitive and Affective Neuroscience, 10(6), 801–808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Watson D, Wiese D, Vaidya J, & Tellegen A. (1999). The two general activation systems of affect: Structural findings, evolutionary considerations, and psychobiological evidence. Journal of Personality and Social Psychology, 76(5), 820–838. [Google Scholar]
  83. Weber R, Mangus JM, & Huskey R. (2015). Brain imaging in communication research: A practical guide to understanding and evaluating fMRI studies. Communication Methods and Measures, 9(1–2), 5–29. [Google Scholar]
  84. Young DG (2017). Theories and effects of political humor: Discounting cues, gateways, and the impact of incongruities. In Kenski K, Jamieson KH (Eds.),The Oxford Handbook of Political Communication. Oxford, UK: Oxford University Press, pp. 871–884. [Google Scholar]
  85. Young DG (2019). Irony and outrage: The polarized landscape of rage, fear, and laughter in the United States. Oxford, UK: Oxford University Press. [Google Scholar]
  86. Young DG, Bagozzi BE, Goldring A, Poulsen S, & Drouin E. (2019). Psychology, political ideology, and humor appreciation: Why is satire so liberal? Psychology of Popular Media Culture, 8(2), 134–147. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Materials for Rejection sensitivity and interaction quality in everyday life

RESOURCES