Personal Network Composition and Cognitive Reflection Predict Susceptibility to Different Types of Misinformation
References
- Allen, J., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2020). Evaluating the fake news problem at the scale of the information ecosystem. Science Advances, 6(14), eaay3539.
- Amira, K., Wright, J. C., & Goya-Tocchetto, D. (2021). In-group love versus out-group hate: Which is more important to partisans and when? Political Behavior, 43(2), 473–494.
- Bail, C. A., Argyle, L. P., Brown, T. W., Bumpus, J. P., Chen, H., Hunzaker, M. B. F., Lee, J., Mann, M., Merhout, F., & Volfovsky, A. (2018). Exposure to opposing views on social media can increase political polarization. Proceedings of the National Academy of Sciences of the United States of America, 115(37), 9216–9221.
- Baron, H., Blair, R., Choi, D. D., Gamboa, L., Gottlieb, J., Robinson, A. L., Rosenzweig, S., Turnbull, M., & West, E. A. (2021). Can Americans depolarize? Assessing the effects of reciprocal group reflection on partisan polarization.
https://doi.org/10.31219/osf.io/3x7z8 - Batailler, C., Brannon, S. M., Teas, P. E., & Gawronski, B. (2022). A signal detection approach to understanding the identification of fake news. Perspectives on Psychological Science, 17(1), 78–98.
- Bradshaw, S., Howard, P. N., Kollanyi, B., & Neudert, L. M. (2020). Sourcing and automation of political news and information over social media in the United States, 2016–2018. Political Communication, 37(2), 173–193.
- Brashears, M. E. (2014). Trivial topics and rich ties: The relationship between discussion topic, alter role, and resource availability using the important matters name generator. Sociological Science, 1(27), 493–511.
- Brenner, P. S., Serpe, R. T., & Stryker, S. (2014). The causal ordering of prominence and salience in identity theory: An empirical examination. Social Psychology Quarterly, 77(3), 231–252.
- Burke, P. J., & Stets, J. E. (2009). Identity theory. Oxford University Press.
- Chaiken, S., & Maheswaran, D. (1994). Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66(3), 460–473.
- Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021). The echo chamber effect on social media. Proceedings of the National Academy of Sciences of the United States of America, 118(9), e2023301118.
- CNN. (2021). Partisanship Survey Report. Retrieved from
http://cdn.cnn.com/cnn/2021/images/09/12/rel5c.-.partisanship.pdf - Ditto, P. H., Liu, B. S., Clark, C. J., Wojcik, S. P., Chen, E. E., Grady, R. H., Celniker, J. B., & Zinger, J. F. (2019). At least bias is bipartisan: A meta-analytic comparison of partisan bias in liberals and conservatives. Perspectives on Psychological Science, 14(2), 273–291.
- Ervin, L. H., & Stryker, S. (2001). Theorizing the relationship between self-esteem and identity. In Extending self-esteem theory and research: Sociological and psychological currents (pp. 29–55).
- Evans, J. St. B. T., & Over, D. E. (1996). Rationality and reasoning. Psychology Press.
- Facciani, M. (2020). How self-sentiments and personal networks impact political polarization [Doctoral dissertation, University of South Carolina].
- Facciani, M., & Brashears, M. E. (2019). Sacred alters: The effects of ego network structure on religious and political beliefs. Socius, 5.
https://doi.org/10.1177/23780231198738 - Facciani, M., & McKay, T. (2022). Network loss following the 2016 presidential election among LGBTQ+ adults. Applied Network Science, 7(1), 1–21.
- Facciani, M., Lazić, A., Viggiano, G., & McKay, T. (2023). Political network composition predicts vaccination attitudes. Social Science & Medicine, 328, 116004.
- Faris, R., Roberts, H., Etling, B., Bourassa, N., Zuckerman, E., & Benkler, Y. (2017). Partisanship, propaganda, and disinformation: Online media and the 2016 US presidential election (p. 6). Berkman Klein Center Research Publication.
- Finkel, E. J., Bail, C. A., Cikara, M., Ditto, P. H., Iyengar, S., Klar, S., Mason, L., McGrath, M. C., Nyhan, B., Rand, D. G., Skitka, L. J., Tucker, J. A., Bavel, J. J. V., Wang, C. S., & Druckman, J. N. (2020). Political sectarianism in America. Science, 370(6516), 533–536.
- Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 25–42.
- Freeman, L. C. (1992). The sociological concept of group: An empirical test of two models. The American Journal of Sociology, 98(1), 152–166.
- Freeman, L. C., Romney, A. K., & Freeman, S. C. (1987). Cognitive structure and informant accuracy. American Anthropologist, 89(2), 310–325.
- Frenkel, S., Alba, D., & Zhong, R. (2020). Surge of virus misinformation stumps Facebook and Twitter. The New York Times. Retrieved from
http://www/nytimes.com/2020/03/08/technology/coronavirus-misinformation-social-media.html - Garrett, R. K., & Bond, R. M. (2021). Conservatives’ susceptibility to political misperceptions. Science Advances, 7(23), eabf1234.
- Gawronski, B. (2021). Partisan bias in the identification of fake news. Trends in Cognitive Sciences, 25(9), 723–724.
- Graham, M. H., & Svolik, M. W. (2020). Democracy in America? Partisanship, polarization, and the robustness of support for democracy in the United States. American Political Science Review, 114(2), 392–409.
- Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B., & Lazer, D. (2019). Fake news on Twitter during the 2016 US presidential election. Science, 363(6425), 374–378.
- Heise, D. (2007). Expressive order: Confirming sentiments in social actions. Springer Science & Business Media.
- Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N., & Westwood, S. J. (2019). The origins and consequences of affective polarization in the United States. Annual Review of Political Science, 22(1), 129–146.
- Jacobson, L. (2018). Did Nancy Pelosi vow to raise taxes if democrats take the U.S. House? Politifact. Retrieved from
https://www.politifact.com/factchecks/2018/apr/09/blog-posting/did-nancy-pelosi-vow-raise-taxes-if-democrats-take/ - Kahan, D. M., Peters, E., Dawson, E. C., & Slovic, P. (2017). Motivated numeracy and enlightened self-government. Behavioural Public Policy, 1(1), 54–86.
- Kahneman, D. (2011). Thinking, fast and slow. Macmillan.
- Keating, J., Van Boven, L., & Judd, C. M. (2016). Partisan underestimation of the polarizing influence of group discussion. Journal of Experimental Social Psychology, 65, 52–58.
- Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., Schudson, M., Sloman, S. A., Sunstein, C. R., Thorson, E. A., Watts, D. J., & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094–1096.
- Lazer, D., Rubineau, B., Chetkovich, C., Katz, N., & Neblo, M. (2010). The coevolution of networks and political attitudes. Political Communication, 27(3), 248–274.
- Liberali, J. M., Reyna, V. F., Furlan, S., Stein, L. M., & Pardo, S. T. (2012). Individual differences in numeracy and cognitive reflection, with implications for biases and fallacies in probability judgment. Journal of Behavioral Decision Making, 25(4), 361–381.
https://doi.org/10.1002/bdm.752 - Marks, J., Copland, E., Loh, E., Sunstein, C. R., & Sharot, T. (2019). Epistemic spillovers: Learning others’ political views reduces the ability to assess and use their expertise in nonpolitical domains. Cognition, 188, 74–84.
https://doi.org/10.1016/j.cognition.2018.10.003 - Marsden, P. V. (2006). Generalized blockmodeling. P. Doreian, V. Batagelj, A. Ferligoj, Cambridge University Press, New York (2005), (xv + 384 pp). Social Networks, 28(3), 275–282.
https://doi.org/10.1016/j.socnet.2006.02.001 - McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27, 415–444.
- McPhetres, J., Rand, D. G., & Pennycook, G. (2021). Character deprecation in fake news: Is it in supply or demand? Group Processes & Intergroup Relations, 24(4), 624–637.
- Metzger, M. J., Flanagin, A. J., Eyal, K., Lemus, D. R., & Mccann, R. M. (2003). Credibility for the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment. Annals of the International Communication Association, 27(1), 293–335.
https://doi.org/10.1080/23808985.2003.11679029 - Motta, M., Callaghan, T., Sylvester, S., & Lunz-Trujillo, K. (2021). Identifying the prevalence, correlates, and policy consequences of anti-vaccine social identity. Politics, Groups, and Identities, 1–15.
- Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The measurement of meaning. University of Illinois Press.
- Palan, S., & Schitter, C. (2018). Prolific. ac—A subject pool for online experiments. Journal of Behavioral and Experimental Finance, 17, 22–27.
- Pennycook, G., & Rand, D. G. (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, 39–50.
- Pennycook, G., & Rand, D. G. (2020). Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. Journal of Personality, 88(2), 185–200.
- Pennycook, G., & Rand, D. G. (2021). The psychology of fake news. Trends in Cognitive Sciences, 25(5), 388–402.
- Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological Science, 31(7), 770–780.
- Perry, B. L., Pescosolido, B. A., & Borgatti, S. P. (2018). Egocentric network analysis: Foundations, methods, and models. Cambridge University Press.
- Pew Research Center. (2014). Political Polarization and Personal Life. Retrieved from
http://www.people-press.org/2014/06/12/section-3-political-polarization-and-personal-life/ - Pew Research Center. (2020). About one-fifth of Democrats and Republicans get political news in a kind of media bubble. A fifth of Democrats, Republicans get news only from outlets with like-minded audiences. Pew Research Center.
- PolitiFact, & Bloggers. (n.d.). PolitiFact - Did Nancy Pelosi vow to raise taxes if democrats take the U.S. House? @Politifact. Retrieved February 14, 2022, from
http://www.politifact.com/factchecks/2018/apr/09/blog-posting/did-nancy-pelosi-vow-raise-taxes-if-democrats-take/ - Rathje, S., Van Bavel, J. J., & van der Linden, S. (2021). Out-group animosity drives engagement on social media. Proceedings of the National Academy of Sciences of the United States of America, 118(26), e2024292118.
https://doi.org/10.1073/pnas.2024292118 - Robison, J., Leeper, T. J., & Druckman, J. N. (2018). Do disagreeable political discussion networks undermine attitude strength? Political Psychology, 39(2), 479–494.
- Roozenbeek, J., Schneider, C. R., Dryhurst, S., Kerr, J., Freeman, A. L., Recchia, G., van der Bles, A. M., & Van Der Linden, S. (2020). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science, 7(10), 201199.
- Roozenbeek, J., Traberg, C. S., & van der Linden, S. (2022). Technique-based inoculation against real-world misinformation. Royal Society Open Science, 9(5), 211719.
- Schaedel, S. (2016, October 24). Did the pope endorse Trump? FactCheck.org. Retrieved from
https://www.factcheck.org/2016/10/did-the-pope-endorse-trump/ - Shenhav, A., Rand, D. G., & Greene, J. D. (2012). Divine intuition: Cognitive style influences belief in God. Journal of Experimental Psychology: General, 141(3), 423.
- Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psychological Bulletin, 119(1), 3–22.
- Stets, J. E., & Burke, P. J. (2000). Identity theory and social identity theory. Social Psychology Quarterly, 63(3), 224–237.
- Stets, J. E., & Serpe, R. T. (Eds.). (2016). New directions in identity theory and research. Oxford University Press.
- Stets, J. E., Aldecoa, J., Bloom, Q., & Winegar, J. (2021). Using identity theory to understand homophily in groups. In P. S. Brenner, J. E. Stets, & R. T. Serpe (Eds.), Identities in action: Developments in identity theory (pp. 285–302). Springer International Publishing.
- Tajfel, H., Turner, J. C., Austin, W. G., & Worchel, S. (1979). An integrative theory of intergroup conflict. Organizational Identity: A Reader, 56(65), 9780203505984-16.
- Tardáguila, C. (2020). Coronavirus: Fact-checkers from 30 countries are fighting 3 waves of misinformation. Poynter. Retrieved from
http://www/poynter.org/fact-checking/2020/coronavirus-fact-checkers-from-30-countries-are-fighting-3-waves-of-misinformation - Thomson, K. S., & Oppenheimer, D. M. (2016). Cognitive reflection test-2. Judgment and Decision Making.
- Traberg, C. S. (2022). Misinformation: Broaden definition to curb its societal influence. Nature, 606(7915), 653–653.
- Traberg, C. S., & van der Linden, S. (2022). Birds of a feather are persuaded together: Perceived source credibility mediates the effect of political bias on misinformation susceptibility. Personality and Individual Differences, 185, 111269.
- Traberg, C. S., Roozenbeek, J., & van der Linden, S. (2022). Psychological inoculation against misinformation: Current evidence and future directions. The ANNALS of the American Academy of Political and Social Science, 700(1), 136–151.
- Unsworth, K. L., & Fielding, K. S. (2014). It’s political: How the salience of one’s political identity changes climate change beliefs and policy support. Global Environmental Change, 27(1), 131–137.
- Van Bavel, J. J., Harris, E. A., Pärnamets, P., Rathje, S., Doell, K. C., & Tucker, J. A. (2021). Political psychology in the digital (mis) information age: A model of news belief and sharing. Social Issues and Policy Review, 15(1), 84–113.
- van der Linden, S., Roozenbeek, J., & Compton, J. (2020). Inoculating against fake news about COVID-19. Frontiers in Psychology, 11, 566790.
- von Hohenberg, B. C. (2020). Truth and bias, left and right.
- Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151.
- Westfall, J., Van Boven, L., Chambers, J. R., & Judd, C. M. (2015). Perceiving political polarization in the United States: Party identity strength and attitude extremity exacerbate the perceived partisan divide. Perspectives on Psychological Science, 10(2), 145–158.
- World Economic Forum. (2018). The global risks report 2018 – 13th edition. In Vol. 14, Issue 1. World economic forum.
www.weforum.org - Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676.
- Zhang, Y., Chen, F., & Lukito, J. (2022). Network amplification of politicized information and misinformation about COVID-19 by conservative media and partisan influencers on Twitter. Political Communication, 1–24.
DOI: https://doi.org/10.21307/connections-2019.044 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 165 - 180
Published on: Jun 28, 2024
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
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© 2024 Matthew Facciani, Cecilie Steenbuch-Traberg, published by International Network for Social Network Analysis (INSNA)
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