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Emotions on Our Screens
Published online by Cambridge University Press: 27 March 2026
Summary
While scholars have long considered how political messages make people feel, changes in the media environment have given people unprecedented access to the expressed emotions of others. Through both contemporary news stories and social media, people now learn how others – often strangers – feel about political events. Do people believe in the sincerity of these expressed emotions? To answer this question, we turn to expressions about one of the most pressing issues of our time: climate change. We begin with a theoretic framework of the way people perceive mediated emotional expression. Then, across six pre-registered experiments, we find people are generally skeptical of others' emotional expression – perceiving emotional posts and quotes less authentic and appropriate than more neutral content. While evaluations vary by platform, our results suggest that emotions online aren't always taken at face value – complicating the role of these expressed emotions in political communication.
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- Online ISBN: 9781009613668Publisher: Cambridge University PressPrint publication: 23 April 2026
References
Albertson, B., & Gadarian, S. K. (2015). Anxious Politics: Democratic Citizenship in a Threatening World, Cambridge University Press.10.1017/CBO9781139963107CrossRefGoogle Scholar
Albertson, B., & White, B. (2022). Emotions in Politics: The Relevance of Groups. In Handbook on Politics and Public Opinion (Rudolph, Thomas, Ed), Edward Elgar, pp. 283–297.Google Scholar
Alfonso, F. III (2020, June 13). Some influencers spark backlash after using protests as backdrop for their content. Retrieved November 3, 2025, from www.cnn.com/2020/06/13/us/influencers-protests-backlash-trnd.Google Scholar
Anderson, A. (2005). Affective Influences on the Attentional Dynamics Supporting Awareness. Journal of Experimental Psychology: General, 134(2), 258–281.10.1037/0096-3445.134.2.258CrossRefGoogle ScholarPubMed
Andersen, D. J., & Ditonto, T. (2018). Information and Its Presentation: Treatment Effects in Low-Information vs. High-Information Experiments. Political Analysis, 26(4), 379–398.10.1017/pan.2018.21CrossRefGoogle Scholar
Andrews, T. M., & Smirnov, O. (2020). Who Feels the Impacts of Climate Change? Global Environmental Change, 65, 102164.10.1016/j.gloenvcha.2020.102164CrossRefGoogle Scholar
Aronow, P. M., Baron, J., & Pinson, L. (2019). A Note on Dropping Experimental Subjects Who Fail a Manipulation Check. Political Analysis, 27(4), 572–589.10.1017/pan.2019.5CrossRefGoogle Scholar
Ashforth, B. E., & Tomiuk, M. A. (2000). Emotional Labour and Authenticity: Views from Service Agents. In Emotion in Organizations (Fineman, Stephen, Eds), Sage Publications, 184–199.10.4135/9781446219850.n10CrossRefGoogle Scholar
Audrezet, A., de Kerviler, G., & Moulard, J. G. (2020). Authenticity Under Threat: When Social Media Influencers Need to Go Beyond Self-Presentation. Journal of Business Research, 117, 557–569.10.1016/j.jbusres.2018.07.008CrossRefGoogle Scholar
Bailey, E., & Levy, A. (2022). Are You for Real? Perceptions of Authenticity Are Systematically Biased and Not Accurate. Psychological Science, 33(5), 798–815.10.1177/09567976211056623CrossRefGoogle ScholarPubMed
Ballew, M. T., Leiserowitz, A., Roser-Renouf, C., … Maibach, E. W. (2019). Climate Change in the American Mind: Data, Tools, and Trends. Environment: Science and Policy for Sustainable Development, 61(3), 4–18.10.1080/00139157.2019.1589300CrossRefGoogle Scholar
Balsters, M. J. H., Krahmer, E. J., Swerts, M. G. J., & Vingerhoets, A. J. J. M. (2013). Emotional Tears Facilitate the Recognition of Sadness and the Perceived Need for Social Support. Evolutionary Psychology, 11(1), 148–158.10.1177/147470491301100114CrossRefGoogle ScholarPubMed
Barta, K., & Andalibi, N. (2024). Theorizing Self Visibility on Social Media: A Visibility Objects Lens. ACM Transactions on Computer-Human Interaction, 31(3), 1–28.10.1145/3660337CrossRefGoogle Scholar
Barzilai-Nahon, K. (2009). Gatekeeping: A Critical Review. Annual Review of Information Science and Technology, 43(1), 1–79.10.1002/aris.2009.1440430117CrossRefGoogle Scholar
Bas, O., & Grabe, M. E. (2016). Personalized News and Participatory Intent: How Emotional Displays of Everyday Citizens Promote Political Involvement. American Behavioral Scientist, 60(14), 1719–1736.10.1177/0002764216676247CrossRefGoogle Scholar
Basch, C. H., Yalamanchili, B., & Fera, J. (2022). #Climate Change on TikTok: A Content Analysis of Videos. Journal of Community Health, 47(1), 163–167.10.1007/s10900-021-01031-xCrossRefGoogle Scholar
Baum, J., & Rahman, R. A. (2021). Emotional News Affects Social Judgments Independent of Perceived Media Credibility. Social Cognitive and Affective Neuroscience, 16(3), 280–291.10.1093/scan/nsaa164CrossRefGoogle ScholarPubMed
Bazarova, N. N., Choi, Y. H., Schwanda Sosik, V., Cosley, D., & Whitlock, J. (2015). Social Sharing of Emotions on Facebook: Channel Differences, Satisfaction, and Replies Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, New York: Association for Computing Machinery, pp. 154–164.Google Scholar
Beckers, K. (2020). The Voice of the People in the News: A Content Analysis of Public Opinion Displays in Routine and Election News. Journalism Studies, 21(15), 2078–2095.10.1080/1461670X.2020.1809498CrossRefGoogle Scholar
Beckers, K. (2022). Power of the People Or the Expert? The Influence of Vox Pop and Expert Statements on News-Item Evaluation, Perceived Public Opinion, and Personal Opinion. Communications, 47(1), 114–135.10.1515/commun-2019-0186CrossRefGoogle Scholar
Berger, J., & Milkman, K. L. (2012). What Makes Online Content Viral? Journal of Marketing Research, 49(2), 192–205.10.1509/jmr.10.0353CrossRefGoogle Scholar
Berryman, R., & Kavka, M. (2018). Crying on YouTube: Vlogs, Self-Exposure and the Productivity of Negative Affect. Convergence, 24(1), 85–98.10.1177/1354856517736981CrossRefGoogle Scholar
Beverland, M. B. (2005). Crafting Brand Authenticity: The Case of Luxury Wines. Journal of Management Studies, 42(5), 1003–1029.10.1111/j.1467-6486.2005.00530.xCrossRefGoogle Scholar
Bohr, J. (2020). Reporting on Climate Change: A Computational Analysis of U.S. Newspapers and Sources of Bias, 1997–2017. Global Environmental Change, 61, 102038.10.1016/j.gloenvcha.2020.102038CrossRefGoogle Scholar
Boussalis, C., & Coan, T. G. (2021). Facing the Electorate: Computational Approaches to the Study of Nonverbal Communication and Voter Impression Formation. Political Communication, 38(1–2), 75–97.10.1080/10584609.2020.1784327CrossRefGoogle Scholar
Brader, T. (2005). Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions. American Journal of Political Science, 49(2), 388–405.10.1111/j.0092-5853.2005.00130.xCrossRefGoogle Scholar
Brader, T., & Marcus, G. E. (2013). Emotion and Political Psychology. In The Oxford Handbook of Political Psychology, 2nd Edition (in Huddy, Leonie, Sears, David O., Levy, Jack, Eds) 165–204, Oxford University Press.Google Scholar
Brady, W. J., Crockett, M. J., & Van Bavel, J. J. (2020a). The MAD Model of Moral Contagion: The Role of Motivation, Attention, and Design in the Spread of Moralized Content Online. Perspectives on Psychological Science, 15(4), 978–1010.10.1177/1745691620917336CrossRefGoogle ScholarPubMed
Brady, W. J., Gantman, A. P., & Van Bavel, J. J. (2020b). Attentional Capture Helps Explain Why Moral and Emotional Content Go Viral. Journal of Experimental Psychology: General, 149(4), 746–756.10.1037/xge0000673CrossRefGoogle ScholarPubMed
Brady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A., & Van Bavel, J. J. (2017). Emotion Shapes the Diffusion of Moralized Content in Social Networks. Proceedings of the National Academy of Sciences, 114(28), 7313–7318.10.1073/pnas.1618923114CrossRefGoogle ScholarPubMed
Brooks, D. J. (2011). Testing the Double Standard for Candidate Emotionality: Voter Reactions to the Tears and Anger of Male and Female Politicians. The Journal of Politics, 73(2), 597–615.10.1017/S0022381611000053CrossRefGoogle Scholar
Brosius, H.-B. (2003). Exemplars in the News: A Theory of the Effects of Political Communication. In Communication and Emotion (Jennings Bryant, David R. Roskos-Ewoldsen, Cantor, Joanne, Eds), 179–194, Routledge.Google Scholar
Celis, K., Knops, L., Van Ingelgom, V., & Verhaegen, S. (2021). Resentment and Coping With the Democratic Dilemma. Politics and Governance, 9(3), 237–247.10.17645/pag.v9i3.4026CrossRefGoogle Scholar
Chen, J., Yan, Y., & Leach, J. (2022). Are Emotion-Expressing Messages More Shared on Social Media? A Meta-Analytic Review. Review of Communication Research, 10, 1–45.10.12840/ISSN.2255-4165.034CrossRefGoogle Scholar
Chen, W. A., & Toma, C. (2024). To Text or Talk in Person? Social Anxiety, Media Affordances, and Preferences for Texting Over Face-ToFace Communication in Dating Relationships. Media Psychology, 27(3), 428–454.10.1080/15213269.2023.2246895CrossRefGoogle ScholarPubMed
Choi, M., & Toma, C. (2014). Social Sharing through Interpersonal Media: Patterns and Effects on Emotional Well-Being. Computers in Human Behavior, 36, 530–541.10.1016/j.chb.2014.04.026CrossRefGoogle Scholar
Choi, M., & Toma, C. L. (2022). Understanding Mechanisms of Media Use for the Social Sharing of Emotion. Journal of Media Psychology, 34(3), 139–149.10.1027/1864-1105/a000301CrossRefGoogle Scholar
Chouliaraki, L. (2006). The Spectatorship of Suffering, Sage Publications.10.4135/9781446220658CrossRefGoogle Scholar
Coleman, R., Thorson, E., & Chen, W. (2025). But Is That Mediator Really the Cause? An Experiment Manipulating Persuasion Knowledge as a Mediator for How Adaptive Frames Create Positive Responses to Climate Change News. Science Communication, 47(6), 828–858.10.1177/10755470241310822CrossRefGoogle Scholar
Coppock, A., Leeper, T. J., & Mullinix, K. J. (2018). Generalizability of Heterogeneous Treatment Effect Estimates Across Samples. Proceedings of the National Academy of Sciences, 115(49), 12441–12446.10.1073/pnas.1808083115CrossRefGoogle ScholarPubMed
Davidson, D. J., & Kecinski, M. (2022). Emotional Pathways to Climate Change Responses. WIREs Climate Change, 13(2), e751.10.1002/wcc.751CrossRefGoogle Scholar
Davis, M. H. (1980). A Multidimensional Approach to Individual Differences in Empathy. JSAS Catalog of Selected Documents in Psychology, 10, 85.Google Scholar
de Waal, F. B. M. (2008). Putting the Altruism Back into Altruism: The Evolution of Empathy. Annual Review of Psychology, 59(1), 279–300.10.1146/annurev.psych.59.103006.093625CrossRefGoogle ScholarPubMed
Derryberry, D., & Tucker, D. M. (1994). Motivating the Focus of Attention. In The Heart’s Eye: Emotional Influences in Perception and Attention (Niedenthal, Paula M., Kitayama, Shinobu, Eds), San Diego, CA: Academic Press, pp. 167–196.10.1016/B978-0-12-410560-7.50014-4CrossRefGoogle Scholar
Dolan, K. (2010). The Impact of Gender Stereotyped Evaluations on Support for Women Candidates. Political Behavior, 32(1), 69–88.10.1007/s11109-009-9090-4CrossRefGoogle Scholar
Druckman, J. N. (2022). Experimental Thinking: A Primer on Social Science Experiments, Cambridge University Press.10.1017/9781108991353CrossRefGoogle Scholar
Druckman, J. N., Klar, S., Krupnikov, Y., Levendusky, M., & Ryan, J. B. (2024). Partisan Hostility and American Democracy: Explaining Political Divisions and When They Matter, University of Chicago Press.10.7208/chicago/9780226833668.001.0001CrossRefGoogle Scholar
Druckman, J. N., & Leeper, T. J. (2012). Learning More from Political Communication Experiments: Pretreatment and Its Effects. American Journal of Political Science, 56(4), 875–896.10.1111/j.1540-5907.2012.00582.xCrossRefGoogle Scholar
Duan, R., Zwickle, A., & Takahashi, B. (2022). Refining the Application of Construal Level Theory: Egocentric and Nonegocentric Psychological Distances in Climate Change Visual Communication. Environmental Communication, 16(1), 92–107.10.1080/17524032.2021.1964999CrossRefGoogle Scholar
Dubèl, R., Schumacher, G., Homan, M. D., Peterson, D., & Bakker, B. N. (2024). Replicating and Extending Soroka, Fournier, and Nir: Negative News Increases Arousal and Negative Affect. Media and Communication, 12(7807), 1–19. https://doi.org/10.17645/mac.7807.CrossRefGoogle Scholar
Duffy, B. E. (2017). (Not) Getting Paid to Do What You Love: Gender, Social Media, and Aspirational Work, Yale University Press.10.12987/yale/9780300218176.001.0001CrossRefGoogle Scholar
Duffy, B. E., & Hund, E. (2019). Gendered Visibility on Social Media: Navigating Instagram’s Authenticity Bind. International Journal of Communication, 13(1), 20.Google Scholar
Duffy, B. E., Ononye, A., & Sawey, M. (2024). The Politics of Vulnerability in the Influencer Economy. European Journal of Cultural Studies, 27(3), 352–370.10.1177/13675494231212346CrossRefGoogle Scholar
Edgerly, S., & Vraga, E. (2020). Deciding What’s News: News-ness As an Audience Concept for the Hybrid Media Environment. Journalism & Mass Communication Quarterly, 97(2), 416–434.10.1177/1077699020916808CrossRefGoogle Scholar
Egan, P. J., & Mullin, M. (2017). Climate Change: US Public Opinion. Annual Review of Political Science, 20, 209–236.10.1146/annurev-polisci-051215-022857CrossRefGoogle Scholar
Ekman, P., Friesen, W. V., O’Sullivan, M., et al. (1987). Universals and Cultural Differences in the Judgments of Facial Expressions of Emotion. Journal of Personality and Social Psychology, 53(4), 712–717.10.1037/0022-3514.53.4.712CrossRefGoogle ScholarPubMed
Ekman, P., & Rosenberg, E. L. (1997). What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS), Oxford University Press.Google Scholar
Enli, G. (2015). “Trust Me, I Am Authentic!” Authenticity Illusions in Social Media Politics. In The Routledge Companion to Social Media and Politics (Bruns, Axel, Enli, Gunn, Skogerbo, Eli, Larsson, Anders Olof, Christensen, Christian, Eds), Routledge.Google Scholar
Eyal, M. (2025, January 27). Beware the Weepy Influencers. www.theatlantic.com/family/archive/2025/01/mcvulnerability-crying-tiktok-youtube-instagram-influencers/681475/.Google Scholar
Finkenauer, C., & Rimé, B. (1998). Socially Shared Emotional Experiences vs. Emotional Experiences Kept Secret: Differential Characteristics and Consequences. Journal of Social and Clinical Psychology, 17(3), 295–318.10.1521/jscp.1998.17.3.295CrossRefGoogle Scholar
Fox, J., & McEwan, B. (2017). Distinguishing Technologies for Social Interaction: The Perceived Social Affordances of Communication Channels Scale. Communication Monographs, 84(3), 298–318.10.1080/03637751.2017.1332418CrossRefGoogle Scholar
Friedman, J. A. (2019). Priorities for Preventive Action: Explaining Americans’ Divergent Reactions to 100 Public Risks. American Journal of Political Science, 63(1), 181–196.10.1111/ajps.12400CrossRefGoogle Scholar
Gadarian, S. K., & Brader, T. (2023). Emotion and Political Psychology. In The Oxford Handbook of Political Psychology (Huddy, Leonie, Sears, David O., Levy, Jack S., Jerit, Jennifer, Eds), Oxford University Press. pp. 191–247.10.1093/oxfordhb/9780197541302.013.5CrossRefGoogle Scholar
Gardner, W., Fischer, D., & Hunt, J. G. (2009). Emotional Labor and Leadership: A Threat to Authenticity? The Leadership Quarterly, 20(3), 466–482.10.1016/j.leaqua.2009.03.011CrossRefGoogle Scholar
Goldenberg, A., & Gross, J. (2020). Digital Emotion Contagion. Trends in Cognitive Science, 24(4), 316–328.10.1016/j.tics.2020.01.009CrossRefGoogle ScholarPubMed
Gračanin, A., Bylsma, L. M., & Vingerhoets, A. J. J. M. (2018). Why Only Humans Shed Emotional Tears. Human Nature, 29(2), 104–133.10.1007/s12110-018-9312-8CrossRefGoogle ScholarPubMed
Grandey, A. A. (2000). Emotional Regulation in the Workplace: A New Way to Conceptualize Emotional Labor. Journal of Occupational Health Psychology, 5(1), 95–110.10.1037/1076-8998.5.1.95CrossRefGoogle ScholarPubMed
Grandey, A. A. (2003). When “The Show Must Go On”: Surface Acting and Deep Acting as Determinants of Emotional Exhaustion and Peer-Rated Service Delivery. Academy of Management Journal, 46(1), 86–96.10.2307/30040678CrossRefGoogle Scholar
Grandey, A. A., Fisk, G. M., Mattila, A. S., Jansen, K. J., & Sideman, L. A. (2005). Is “Service with a Smile” Enough? Authenticity of Positive Displays During Service Encounters. Organizational Behavior and Human Decision Processes, 96(1), 38–55.10.1016/j.obhdp.2004.08.002CrossRefGoogle Scholar
Gregersen, T., & Bye, H. (2023). Emotional Researchers Or Emotional Audiences? The Effect of Emotions in Climate Change Communication. Journal of Environmental Psychology, 92, 102155.10.1016/j.jenvp.2023.102155CrossRefGoogle Scholar
Gross, J. J. (1998). The Emerging Field of Emotion Regulation: An Integrative Review. Review of General Psychology, 2(3), 271–299.10.1037/1089-2680.2.3.271CrossRefGoogle Scholar
Gu, S., Heerdink, M., & van Kleef, G. (2025). How Social Media Influencers’ Emotional Expressions Shape Their Popularity: The Role of Authenticity and Appropriateness. Cognition and Emotion, 1–23.10.1080/02699931.2025.2573120CrossRefGoogle Scholar
Ham, C.-D., Nelson, M. R., & Das, S. (2015). How to Measure Persuasion Knowledge. International Journal of Advertising, 34(1), 17–53.10.1080/02650487.2014.994730CrossRefGoogle Scholar
Hase, V., Boczek, K., & Scharkow, M. (2024). Adapting to Affordances and Audiences? A Cross-Platform, Multi-Modal Analysis of the Platformization of News on Facebook, Instagram, TikTok, and Twitter. Digital Journalism, 11(8), 1499–1520.10.1080/21670811.2022.2128389CrossRefGoogle Scholar
Hasell, A. (2021). Shared Emotion: The Social Amplification of Partisan News on Twitter. Digital Journalism, 9(8), 1085–1102.10.1080/21670811.2020.1831937CrossRefGoogle Scholar
Hatfield, E., Cacioppo, J. T., & Rapson, R. L. (1993). Emotional Contagion. Current Directions in Psychological Science, 2(3), 96–100.10.1111/1467-8721.ep10770953CrossRefGoogle Scholar
Haugseth, J. F., & Smeplass, E. (2023). The Greta Thunberg Effect: A Study of Norwegian Youth’s Reflexivity on Climate Change. Sociology, 57(4), 921–939.10.1177/00380385221122416CrossRefGoogle Scholar
Hendriks, M. C. P., Croon, M. A., & Vingerhoets, A. J. J. M. (2008). Social Reactions to Adult Crying: The Help-Soliciting Function of Tears. The Journal of Social Psychology, 148(1), 22–42.10.3200/SOCP.148.1.22-42CrossRefGoogle ScholarPubMed
Hendriks, M. C. P., & Vingerhoets, A. J. J. M. (2006). Social Messages of Crying Faces: Their Influence on Anticipated Person Perception, Emotions and Behavioural Responses. Cognition and Emotion, 20(6), 878–886.10.1080/02699930500450218CrossRefGoogle Scholar
Hiaeshutter-Rice, D., & Weeks, B. (2021). Understanding Audience Engagement with Mainstream and Alternative News Posts on Facebook. Digital Journalism, 9(5), 519–548.10.1080/21670811.2021.1924068CrossRefGoogle Scholar
Hickman, C., Marks, E., Pihkala, P., et al. (2021). Climate Anxiety in Children and Young People and Their Beliefs about Government Responses to Climate Change: A Global Survey. The Lancet Planetary Health, 5(12), e863–e873.10.1016/S2542-5196(21)00278-3CrossRefGoogle Scholar
Hideg, I., & Van Kleef, G. (2017). When Expressions of Fake Emotions Elicit Negative Reactions: The Role of Observers’ Dialectical Thinking. Journal of Organizational Behavior, 38(8), 1196–1212.10.1002/job.2196CrossRefGoogle Scholar
Hogan, B. (2010). The Presentation of Self in the Age of Social Media: Distinguishing Performances and Exhibitions Online. Bulletin of Science, Technology & Society, 30(6), 377–386.10.1177/0270467610385893CrossRefGoogle Scholar
Höijer, B. (2010). Emotional Anchoring and Objectification in the Media Reporting on Climate Change. Public Understanding of Science, 19(6), 717–731.10.1177/0963662509348863CrossRefGoogle ScholarPubMed
Homan, M. D., Schumacher, G., & Bakker, B. N. (2023). Facing Emotional Politicians: Do Emotional Displays of Politicians Evoke Mimicry and Emotional Contagion? Emotion, 23(6), 1702–1713.10.1037/emo0001172CrossRefGoogle ScholarPubMed
Hornsey, M. J., & Fielding, K. S. (2016). A Cautionary Note about Messages of Hope: Focusing on Progress in Reducing Carbon Emissions Weakens Mitigation Motivation. Global Environmental Change, 39, 26–34.10.1016/j.gloenvcha.2016.04.003CrossRefGoogle Scholar
Jahng, M. R., & Littau, J. (2019). Interacting Is Believing: Interactivity, Social Cue, and Perceptions of Journalistic Credibility on Twitter. Journalism & Mass Communication Quarterly, 93(1), 38–58.10.1177/1077699015606680CrossRefGoogle Scholar
Kaur, H. (2025, January 11). Why People Post Themselves Crying Online. CNN. www.cnn.com/2025/01/11/us/crying-selfies-social-media-wellness-cec/index.html.Google Scholar
Keller, E., Marsh, J. E., Richardson, B. H., & Ball, L. J. (2022). A Systematic Review of the Psychological Distance of Climate Change: Towards the Development of an Evidence-Based Construct. Journal of Environmental Psychology, 81, 101822.10.1016/j.jenvp.2022.101822CrossRefGoogle Scholar
Keller, M. M., & Becker, E. S. (2021). Teachers’ Emotions and Emotional Authenticity: Do They Matter to Students’ Emotional Responses in the Classroom? Teachers and Teaching, 27(5), 404–422.10.1080/13540602.2020.1834380CrossRefGoogle Scholar
Kellstedt, P. M., Zahran, S., & Vedlitz, A. (2008). Personal Efficacy, the Information Environment, and Attitudes Toward Global Warming and Climate Change in the United States. Risk Analysis, 28(1), 113–126.10.1111/j.1539-6924.2008.01010.xCrossRefGoogle ScholarPubMed
Keltner, D., & Haidt, J. (1999). Social Functions of Emotions at Four Levels of Analysis. Cognition and Emotion, 13(5), 505–521.10.1080/026999399379168CrossRefGoogle Scholar
Kiousis, S. (2001). Public Trust or Mistrust? Perceptions of Media Credibility in the Information Age. Mass Communication and Society, 4(4), 381–403.10.1207/S15327825MCS0404_4CrossRefGoogle Scholar
Kligler-Vilenchik, N., & Literat, I. (2024). Not Your Parents’ Politics: Understanding Young People’s Political Expression on Social Media, Oxford University Press.10.1093/oso/9780197795156.001.0001CrossRefGoogle Scholar
Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014). Experimental Evidence of Massive-Scale Emotional Contagion through Social Networks. Proceedings of the National Academy of Sciences, 111(24), 8788–8790.10.1073/pnas.1320040111CrossRefGoogle ScholarPubMed
Kreling, R., Meier, A., & Reinecke, L. (2022). Feeling Authentic on Social Media: Subjective Authenticity Across Instagram Stories and Posts. Social Media + Society, 8(1), 1–13.10.1177/20563051221086235CrossRefGoogle Scholar
Krumhuber, E., Manstead, A. S. R., Cosker, D., et al. (2007). Facial Dynamics as Indicators of Trustworthiness and Cooperative Behavior. Emotion, 7(4), 730–735.10.1037/1528-3542.7.4.730CrossRefGoogle ScholarPubMed
Krupnikov, Y., Nam, H. H., & Style, H. (2021). Convenience Samples in Political Science Experiments. In Druckman, J. N. & Green, D. P., eds., Advances in Experimental Political Science, Cambridge University Press, pp. 165–183.10.1017/9781108777919.012CrossRefGoogle Scholar
Krupnikov, Y., & Ryan, J. B. (2022). The Other Divide, Cambridge University Press.10.1017/9781108923323CrossRefGoogle Scholar
Kubin, E., Puryear, C., Schein, C., & Gray, K. (2021). Personal Experiences Bridge Moral and Political Divides Better Than Facts. Proceedings of the National Academy of Sciences, 118(6), e2008389118.10.1073/pnas.2008389118CrossRefGoogle ScholarPubMed
Lange, J., Heerdink, M. W., & van Kleef, G. A. (2022). Reading Emotions, Reading People: Emotion Perception and Inferences Drawn from Perceived Emotions. Current Opinion in Psychology, 43, 85–90.10.1016/j.copsyc.2021.06.008CrossRefGoogle ScholarPubMed
Lechner, A. T., & Paul, M. (2019). Is This Smile for Real? The Role of Affect and Thinking Style in Customer Perceptions of Frontline Employee Emotion Authenticity. Journal of Business Research, 94, 195–208.10.1016/j.jbusres.2017.06.009CrossRefGoogle Scholar
Lee, J. A., & Eastin, M. (2021). Perceived Authenticity of Social Media Influencers: Scale Development and Validation. Journal of Research in Interactive Marketing, 15(4), 822–841.10.1108/JRIM-12-2020-0253CrossRefGoogle Scholar
Leiserowitz, A., Maibach, E., Rosenthal, S., et al. (2024). Climate Change in the American Mind: Beliefs & Attitudes, Spring 2024, Yale Program on Climate Change Communication: Yale University and George Mason University.Google Scholar
Leon, R.-D. (2021). Sharing Emotions through Social Media: A Comparative Analysis between the Private and Public Digital Affect Culture. International Review of Sociology, 31(2), 268–286.10.1080/03906701.2021.1947952CrossRefGoogle Scholar
Leonardi, P. M., & Treem, J. W. (2012). Knowledge Management Technology as a Stage for Strategic Self-Presentation: Implications for Knowledge Sharing in Organizations. Information and Organization, 22(1), 37–59.10.1016/j.infoandorg.2011.10.003CrossRefGoogle Scholar
Lewis, J., Inthorn, S., & Wahl-Jorgensen, K. (2005). Citizens or Consumers: What the Media Tell us about Political Participation, Oxford University Press.Google Scholar
Literat, I., & Kligler-Vilenchick, N. (2019). Youth Collective Political Expression on Social Media: The Role of Affordances and Memetic Dimensions for Voicing Political Views. New Media & Society, 21(9), 1988–2009.10.1177/1461444819837571CrossRefGoogle Scholar
Literat, I., & Kligler-Vilenchick, N. (2023). TikTok as a Key Platform for Youth Political Expression: Reflecting on the Opportunities and Stakes Involved. Social Media + Society, 9, 1–3.10.1177/20563051231157595CrossRefGoogle Scholar
Lobinger, K., & Brantner, C. (2015). In the Eye of the Beholder: Subjective Views on the Authenticity of Selfies. International Journal of Communication, 9, 1848–1860.Google Scholar
Luebke, S., & Steffan, D. (2025). Pathway to Authenticity? The Influence of Politicians’ Gender and Multimodal Self-Presentation in Social Media on Perceived Authenticity. New Media & Society, 27(4), 2373–2392.10.1177/14614448231208920CrossRefGoogle Scholar
Luo, M., Hancock, J., & Markowitz, D. (2022). Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media: Effects of Truth-Bias and Endorsement Cues. Communication Research, 49(2), 171–195.10.1177/0093650220921321CrossRefGoogle Scholar
Lupia, A., & McCubbins, M. D. (1998). The Democratic Dilemma: Can Citizens Learn What They Need to Know?, Cambridge University Press.Google Scholar
MacArthur, H. J., & Shields, S. A. (2019). How You Cry, When You Cry, Why You Cry, and Who You Are: Responses to Adult Crying in Social Contexts. In Hess, U. & Hareli, S., eds., The Social Nature of Emotion Expression: What Emotions Can Tell Us About the World, Cham: Springer, pp. 209–225.10.1007/978-3-030-32968-6_12CrossRefGoogle Scholar
Malhotra, P. (2024). “What You Post in the Group Stays in the Group”: Examining the Affordances of Bounded Social Media Places. Social Media + Society, 10(3), 1–13.10.1177/20563051241285777CrossRefGoogle Scholar
Malhotra, P. (2025). Toward Conceptualizing Bounded Social Media Places. Political Communication, 43, 1–17.10.1080/10584609.2025.2512342CrossRefGoogle Scholar
Malhotra, P., & Shin, S. Y. (2025). Understanding Information Credibility Evaluation on Bounded Social Media Places: A Mixed Methods Study. Communication Monographs, 92(3), 653–676.10.1080/03637751.2025.2455714CrossRefGoogle Scholar
Matsumoto, D. (1990). Cultural Similarities and Differences in Display Rules. Motivation and Emotion, 14(3), 195–214.10.1007/BF00995569CrossRefGoogle Scholar
McDonald, M., Porat, R., Yarkoney, A., et al. (2017). Intergroup Emotional Similarity Reduces Dehumanization and Promotes Conciliatory Attitudes in Prolonged Conflict. Group Processes & Intergroup Relations, 20(1), 125–136.10.1177/1368430215595107CrossRefGoogle Scholar
McGregor, S. (2019). Social Media as Public Opinion: How Journalists Use Social Media to Represent Public Opinion. Journalism, 20(8), 1070–1086.10.1177/1464884919845458CrossRefGoogle Scholar
McLellan, T., Johnston, L., Dalrymple-Alford, J., & Porter, R. (2010). Sensitivity to Genuine Versus Posed Emotion Specified in Facial Displays. Cognition and Emotion, 24(8), 1277–1292.10.1080/02699930903306181CrossRefGoogle Scholar
Mede, N. G., & Schroeder, R. (2024). The “Greta Effect” on Social Media: A Systematic Review of Research on Thunberg’s Impact on Digital Climate Change Communication. Environmental Communication, 18(6), 801–818.10.1080/17524032.2024.2314028CrossRefGoogle Scholar
Merkley, E., & Stecula, D. A. (2021). Party Cues in the News: Democratic Elites, Republican Backlash, and the Dynamics of Climate Skepticism. British Journal of Political Science, 51(4), 1439–1456.10.1017/S0007123420000113CrossRefGoogle Scholar
Muradova, L. (2025). Empathy and Political Reasoning: How Empathy Promotes Reflection and Strengthens Democracy, Cambridge University Press.10.1017/9781009643573CrossRefGoogle Scholar
Mutz, M., & Gerke, M. (2022). Media Presentations of Olympic Victories and Nation-Related Identification Among Viewers: The Influence of Emotions Induced by Sportscasts. International Journal of Sport Communication, 15, 117–126. https://doi.org/10.1123/ijsc.2021-0103.CrossRefGoogle Scholar
Nabi, R. L. (1999). A Cognitive-Functional Model for the Effects of Discrete Negative Emotions on Information Processing, Attitude Change, and Recall. Communication Theory, 9(3), 292–320.10.1111/j.1468-2885.1999.tb00172.xCrossRefGoogle Scholar
Neubert, M. J., Kacmar, K. M., Carlson, D. S., Chonko, L. B., & Roberts, J. A. (2008). Regulatory Focus as a Mediator of the Influence of Initiating Structure and Servant Leadership on Employee Behavior. Journal of Applied Psychology, 93(6), 1220–1233.10.1037/a0012695CrossRefGoogle ScholarPubMed
Oschatz, C., Stier, S., & Maier, J. (2022). Twitter in the News: An Analysis of Embedded Tweets in Political News Coverage. Digital Journalism, 10(9), 1526–1545.10.1080/21670811.2021.1912624CrossRefGoogle Scholar
Pantti, M., & Husslage, K. (2009). Ordinary People and Emotional Expression in Dutch Public Service News. Javnost – The Public, 16(2), 77–94.10.1080/13183222.2009.11009005CrossRefGoogle Scholar
Peters, C. (2011). Emotion Aside Or Emotional Side? Crafting an “Experience of Involvement” in the News. Journalism, 12(3), 297–316.10.1177/1464884910388224CrossRefGoogle Scholar
Phoenix, D. (2019). The Anger Gap: How Race Shapes Emotion in Politics, Cambridge University Press.10.1017/9781108641906CrossRefGoogle Scholar
Pinheiro, A., Anikin, A., Conde, T., et al. (2021). Emotional Authenticity Modulates Affective and Social Trait Inferences from Voices. Philosophical Transactions B, 376, 20200402.10.1098/rstb.2020.0402CrossRefGoogle ScholarPubMed
Rainey, C. (2014). Arguing for a Negligible Effect. American Journal of Political Science, 58(4), 1083–1091.10.1111/ajps.12102CrossRefGoogle Scholar
Rimé, B. (1995). The Social Sharing of Emotional Experience as a Source for the Social Knowledge of Emotion. In Everyday Conceptions of Emotions: An Introduction to the Psychology, Anthropology and Linguistics of Emotion (Russell, James A., Fernández-Dols, José-Miguel, Manstead, Anthony SR, and Wellenkamp, Jane C., Eds), Kluwer, pp. 475–489.10.1007/978-94-015-8484-5_27CrossRefGoogle Scholar
Rimé, B. (2009). Emotion Elicits the Social Sharing of Emotion: Theory and Empirical Review. Emotion Review, 1(1), 60–85.10.1177/1754073908097189CrossRefGoogle Scholar
Rimé, B., Bouchat, P., Paquot, L., & Giglio, L. (2020). Intrapersonal, Interpersonal, and Social Outcomes of the Social Sharing of Emotion. Current Opinion in Psychology, 31, 127–134.10.1016/j.copsyc.2019.08.024CrossRefGoogle ScholarPubMed
Roeser, S. (2012). Risk Communication, Public Engagement, and Climate Change: A Role for Emotions. Risk Analysis, 32(6), 1033–1040.10.1111/j.1539-6924.2012.01812.xCrossRefGoogle ScholarPubMed
Rozin, P., Lowery, L., Imada, S., & Haidt, J. (1999). The CAD Triad Hypothesis: A Mapping between Three Moral Emotions (contempt, anger, disgust) and three moral codes (community, autonomy, divinity). Journal of Personality and Social Psychology, 76(4), 574–586.10.1037/0022-3514.76.4.574CrossRefGoogle ScholarPubMed
Salama, S., & Aboukoura, K. (2018). Role of Emotions in Climate Change Communication. In Filho, W. Leal, Manolas, E., Azul, A. M., Azeiteiro, U. M., & McGhie, H., eds., Handbook of Climate Change Communication: Vol. 1: Theory of Climate Change Communication, Cham: Springer, pp. 137–150.Google Scholar
Salmela, M. (2005). What is Emotional Authenticity? Journal for the Theory of Social Behaviour, 35(3), 209–230.10.1111/j.1468-5914.2005.00273.xCrossRefGoogle Scholar
Schattschneider, E. E. (1957). Intensity, Visibility, Direction and Scope. American Political Science Review, 51(4), 933–942.10.2307/1952444CrossRefGoogle Scholar
Schreiber, M. (2021). Addressing climate change concerns in practice. Retrieved July 11, 2023, from www.apa.org/monitor/2021/03/ce-climate-change.Google Scholar
Shields, S. (2005). The Politics of Emotion in Everyday Life: “Appropriate” Emotion and Claims on Identity. Review of General Psychology, 9(1), 3–15.10.1037/1089-2680.9.1.3CrossRefGoogle Scholar
Smirnov, O. (2022). COVID-19, Climate Change, and the Finite Pool of Worry in 2019 to 2021 Twitter Discussions. Harvard Dataverse. https://doi.org/10.7910/DVN/SFQTJZ.CrossRefGoogle Scholar
Smirnov, O., & Hsieh, P.-H. (2022). COVID-19, Climate Change, and the Finite Pool of Worry in 2019 to 2021 Twitter Discussions. Proceedings of the National Academy of Sciences, 119(43), e2210988119.10.1073/pnas.2210988119CrossRefGoogle ScholarPubMed
Spence, A., Poortinga, W., & Pidgeon, N. (2012). The Psychological Distance of Climate Change. Risk Analysis, 32(6), 957–972.10.1111/j.1539-6924.2011.01695.xCrossRefGoogle ScholarPubMed
Stadel, M., Daniels, J. K., Warrens, M. J., & Jeronimus, B. F. (2019). The Gender-Specific Impact of Emotional Tears. Motivation and Emotion, 43(4), 696–704.10.1007/s11031-019-09771-zCrossRefGoogle Scholar
Stagnaro, M., Druckman, J. N., Berinsky, A. J., et al. (2024). Representativeness versus Response Quality: Assessing Nine Opt-In Online Survey Samples. OSF Preprints. p. 2.Google Scholar
Stenvall, M. (2014). Presenting and Representing Emotions in News Agency Reports: On Journalists’ Stance on Affect Vis-à-Vis Objectivity and Factuality. Critical Discourse Studies, 11(4), 461–481.10.1080/17405904.2013.866588CrossRefGoogle Scholar
Sullivan, D. G., & Masters, R. D. (1988). “Happy Warriors”: Leaders’ Facial Displays, Viewers’ Emotions, and Political Support. American Journal of Political Science, 32(2), 345–368.10.2307/2111127CrossRefGoogle Scholar
Swim, J. K., & Bloodhart, B. (2015). Portraying the Perils to Polar Bears: The Role of Empathic and Objective Perspective-taking Toward Animals in Climate Change Communication. Environmental Communication, 9(4), 446–468.10.1080/17524032.2014.987304CrossRefGoogle Scholar
Thorson, K., Vraga, E., & Ekdale, B. (2010). Credibility in Context: How Uncivil Online Commentary Affects News Credibility. Mass Communication and Society, 13(3), 289–313.10.1080/15205430903225571CrossRefGoogle Scholar
Thorson, K., Vraga, E., & Kligler-Vilenchik, N. (2015). Don’t Push Your Opinions on Me: Young Citizens and Political Etiquette on Facebook. In Presidential Campaigning and Social Media: An Analysis of the 2012 Campaign (Hendricks, John Allen, Schill, Dan, Eds), Oxford University Press, pp. 74–93.Google Scholar
Toff, B., & Nielsen, R. K. (2022). How News Feels: Anticipated Anxiety as a Factor in News Avoidance and a Barrier to Political Engagement. Political Communication, 39(6), 697–714.10.1080/10584609.2022.2123073CrossRefGoogle Scholar
Toma, C. (2023). Social Media Self-Presentation and Emotion: Evidence of Selective Self-Presentation, Self-Affirmation, and Social Sharing. In Emotions in the Digital World: Exploring Affective Experience and Expression in Online Interactions (Nabi, Robin L., Myrick, Jessica Gall, Eds), Oxford University Press, pp. 257–277.10.1093/oso/9780197520536.003.0014CrossRefGoogle Scholar
Tomasik, E., & Matsa, K. E. (2025). 1 in 5 Americans now regularly get news on TikTok, up sharply from 2020. www.pewresearch.org/short-reads/2025/09/25/1-in-5-americans-now-regularly-get-news-on-tiktok-up-sharply-from-2020/.Google Scholar
Treem, J., Leonardi, P., & van den Hooff, B. (2020). Computer-Mediated Communication in the Age of Communication Visibility. Journal of Computer-Mediated Communication, 25, 44–59.10.1093/jcmc/zmz024CrossRefGoogle Scholar
Treem, J. W., & Leonardi, P. M. (2013). Social Media Use in Organizations: Exploring the Affordances of Visibility, Editability, Persistence, and Association. Annals of the International Communication Association, 36(1), 143–189.10.1080/23808985.2013.11679130CrossRefGoogle Scholar
Valentino, N., Wayne, C., & Oceno, M. (2018). Mobilizing Sexism: The Interaction of Emotion and Gender Attitudes in the 2016 US Presidential Election. Public Opinion Quarterly, 82(S1), 799–821.10.1093/poq/nfy003CrossRefGoogle Scholar
van der Schalk, J., Hawk, S. T., Fischer, A. H., & Doosje, B. (2011). Moving Faces, Looking Places: Validation of the Amsterdam Dynamic Facial Expression Set (ADFES). Emotion, 11(4), 907–920.10.1037/a0023853CrossRefGoogle ScholarPubMed
Van Kleef, G. A. (2016). The Interpersonal Dynamics of Emotion, Cambridge University Press.10.1017/CBO9781107261396CrossRefGoogle Scholar
van Kleef, G. A., & Côté, S. (2022). The Social Effects of Emotions. Annual Review of Psychology, 73(1), 629–658.10.1146/annurev-psych-020821-010855CrossRefGoogle ScholarPubMed
Vavreck, L., & Rivers, D. (2008). The 2006 Cooperative Congressional Election Study. Journal of Elections, Public Opinion and Parties, 18(4), 355–366.10.1080/17457280802305177CrossRefGoogle Scholar
Vingerhoets, A. (2012). Why Only Humans Weep: Unraveling the Mysteries of Tears, Oxford University Press.Google Scholar
Vingerhoets, A., Boelhouwer, A. J. W., van Tilburg, M. A. L., & van Heck, G. L. (2001). The Situational and Emotional Context of Adult Crying. In Adult Crying: A Biopsychosocial Approach (Vingerhoets, J. J. M., Conelius, Randolph R., Eds), Brunner-Routledge.Google Scholar
Wahl-Jorgensen, K. (2001). Letters to the Editor as a Forum for public deliberation: modes of publicity and democratic debate. Critical Studies in Media Communication, 18(3), 303–320.10.1080/07393180128085CrossRefGoogle Scholar
Wahl-Jorgensen, K. (2013). Subjectivity and Story-telling in Journalism: Examining Expressions of Affect, Judgement and Appreciation in Pulitzer Prize-Winning Stories. Journalism Studies, 14(3), 305–320.10.1080/1461670X.2012.713738CrossRefGoogle Scholar
Wahl-Jorgensen, K. (2016). Emotion and Journalism, The SAGE Handbook of Digital Journalism.10.4135/9781473957909.n9CrossRefGoogle Scholar
Wahl-Jorgensen, K. (2020). An Emotional Turn in Journalism Studies? Digital Journalism, 8(2), 175–194.10.1080/21670811.2019.1697626CrossRefGoogle Scholar
Walther, J. (2011). Theories of Computer-Mediated Communication and Interpersonal Relations. In The Handbook of Interpersonal Communication (Knapp, Mark L., Daly, John A., Eds), SAGE, pp. 443–479.Google Scholar
Walther, J. B. (2007). Selective Self-Presentation in Computer-Mediated Communication: Hyperpersonal Dimensions of Technology, Language, and Cognition. Computers in Human Behavior, 23(5), 2538–2557.10.1016/j.chb.2006.05.002CrossRefGoogle Scholar
Wang, K., Nguyen, H., Johnson, A., & Groth, M. (2021). Caught Out! The Role of Customer Emotional Intelligence and Dual Thinking Processes in Perceptions of Frontline Service Employees’ Inauthentic Positive Displays. Psychology & Marketing, 38(12), 2191–2208.10.1002/mar.21567CrossRefGoogle Scholar
Warner, L. R., & Shields, S. A. (2009a). Judgements of Others’ Emotional Appropriateness are Multidimensional. Cognition and Emotion, 23(5), 876–888.10.1080/02699930802212365CrossRefGoogle Scholar
Warner, L., & Shields, S. A. (2009b). The Perception of Crying in Women and Men: Angry Tears, Sad Tears, and the “Right Way” to Cry. In Group Dynamics and Emotional Expression, pp. 1–38.Google Scholar
Waterloo, S., Baumgartner, S., Peter, J., & Valkenburg, P. (2018). Norms of online expressions of emotion: Comparing Facebook, Twitter, Instagram, and WhatsApp. New Media & Society, 20(5), 1813–1831.10.1177/1461444817707349CrossRefGoogle ScholarPubMed
Webster, S. (2020). American Rage: How Anger Shapes Our Politics, Cambridge University Press.10.1017/9781108868303CrossRefGoogle Scholar
Webster, S., & Albertson, B. (2022). Emotion and Politics: Noncognitive Psychological Biases in Public Opinion. Annual Review of Political Science, 25, 401–418.10.1146/annurev-polisci-051120-105353CrossRefGoogle Scholar
Weeks, B. (2024). Angry and Wrong: The Emotional Dynamics of Partisan Media and Political Misperceptions, Cambridge University Press.10.1017/9781009091121CrossRefGoogle Scholar
Weeks, B. E., Kim, D. H., Hahn, L., Diehl, T. H., & Kwak, N. (2019). Hostile Media Perceptions in the Age of Social Media: Following Politicians, Emotions, and Perceptions of Media Bias. Journal of Broadcasting & Electronic Media, 63(3), 374–392.10.1080/08838151.2019.1653069CrossRefGoogle Scholar
Wong-Parodi, G., & Feygina, I. (2021). Engaging People on Climate Change: The Role of Emotional Responses. Engaging People on Climate Change: The Role of Emotional Responses, 15(5), 571–593.Google Scholar
Zillmann, D. (2006). Empathy: Affective Reactivity to Others’ Emotional Experiences. In Psychology of Entertainment, 1st ed.( Jennings Bryant, Peter Vorderer, Eds), New York: Routledge, pp. 151–181.Google Scholar
Zloteanu, M., & Krumhuber, E. G. (2021). Expression Authenticity: The Role of Genuine and Deliberate Displays in Emotion Perception. Frontiers in Psychology, 11, 1–6. https://doi.org/10.3389/fpsyg.2020.611248.CrossRefGoogle ScholarPubMed
Zulli, D., & Towner, T. L. (2021). The Effects of “Live,” Authentic, and Emotional Instagram Images on Congressional Candidate Evaluations. Social Media + Society, 7(4), 1–12.10.1177/20563051211062917CrossRefGoogle Scholar
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