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Research Article

Nudging News Readers: A Mixed-Methods Approach to Understanding When and How Interface Nudges Affect News Selection

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References

  • Bates, D., M. Mächler, B. Bolker, and S. Walker. 2015. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software 67 (1): 48. https://doi.org/10.18637/jss.v067.i01.
  • Braun, V., and V. Clarke. 2006. “Using Thematic Analysis in Psychology.” Qualitative Research in Psychology 3 (2): 77–101. https://doi.org/10.1191/1478088706qp063oa.
  • Chung, A., and R. N. Rimal. 2016. “Social Norms: A Review.” Review of Communication Research 4 (1): 1–28. https://doi.org/10.12840/issn.2255-4165.2016.04.01.008.
  • Cialdini, R. B., R. R. Reno, and C. A. Kallgren. 1990. “A Focus Theory of Normative Conduct: Recycling the Concept of Norms to Reduce Littering in Public Places.” Journal of Personality and Social Psychology 58 (6): 1015–1026. https://doi.org/10.1037/0022-3514.58.6.1015.
  • Costera Meijer, I., and T. Groot Kormelink. 2020. Changing News Use: Unchanged News Experiences? (1st ed.). London & New York: Routledge. https://doi.org/10.4324/9781003041719.
  • de Ridder, D., F. Kroese, and L. van Gestel. 2022. “Nudgeability: Mapping Conditions of Susceptibility to Nudge Influence.” Perspectives on Psychological Science 17 (2): 346–359. https://doi.org/10.1177/1745691621995183.
  • Dvir-Gvirsman, S. 2019. “I like What I See: Studying the Influence of Popularity Cues on Attention Allocation and News Selection. Information.” Communication & Society 22 (2): 286–305. https://doi.org/10.1080/1369118X.2017.1379550.
  • Eilders, C. 2006. “News Factors and News Decisions. Theoretical and Methodological Advances in Germany.” Communications 31 (1): 5–24. https://doi.org/10.1515/COMMUN.2006.002.
  • Engelen, B., and T. Nys. 2020. “Nudging and Autonomy: Analyzing and Alleviating the Worries.” Review of Philosophy and Psychology 11 (1): 137–156. https://doi.org/10.1007/s13164-019-00450-z.
  • Epstein, S., R. Pacini, V. Denes-Raj, and H. Heier. 1996. “Individual Differences in Intuitive-Experiential and Analytical-Rational Thinking Styles.” Journal of Personality and Social Psychology 71 (2): 390–405. https://doi.org/10.1037/0022-3514.71.2.390.
  • Fitts, P. M. 1954. “The Information Capacity of the Human Motor System in Controlling the Amplitude of Movement.” Journal of Experimental Psychology 47 (6): 381–391. https://doi.org/10.1037/h0055392.
  • Groot Kormelink, T. 2020. “Seeing, Thinking, Feeling: A Critical Reflection on Interview-Based Methods for Studying News Use.” Journalism Studies 21 (7): 863–878. https://doi.org/10.1080/1461670X.2020.1716829.
  • Helberger, N. 2019. “On the Democratic Role of News Recommenders.” Digital Journalism 7 (8): 993–1012. https://doi.org/10.1080/21670811.2019.1623700.
  • Jesse, M., and D. Jannach. 2021. “Digital Nudging with Recommender Systems: Survey and Future Directions.” Computers in Human Behavior Reports 3: 100052. https://doi.org/10.1016/j.chbr.2020.100052.
  • Johnson, E. J., S. B. Shu, B. G. C. Dellaert, C. Fox, D. G. Goldstein, G. Häubl, R. P. Larrick, et al. 2012. “Beyond Nudges: Tools of a Choice Architecture.” Marketing Letters 23 (2): 487–504. https://doi.org/10.1007/s11002-012-9186-1.
  • Kim, D. H., and J. Pasek. 2020. “Explaining the Diversity Deficit: Value-Trait Consistency in News Exposure and Democratic Citizenship.” Communication Research 47 (1): 29–54. https://doi.org/10.1177/0093650216644647.
  • Knijnenburg, B. P., S. Sivakumar, and D. Wilkinson. 2016. “Recommender Systems for Self-Actualization.” Proceedings of the 10th ACM Conference on Recommender Systems, 11–14. https://doi.org/10.1145/2959100.2959189.
  • Knudsen, E. 2023. “Modeling News Recommender Systems’ Conditional Effects on Selective Exposure: Evidence from Two Online Experiments.” Journal of Communication 73 (2): 138–149. https://doi.org/10.1093/joc/jqac047.
  • Lee, A. M. 2013. “News Audiences Revisited: Theorizing the Link between Audience Motivations and News Consumption.” Journal of Broadcasting & Electronic Media 57 (3): 300–317. https://doi.org/10.1080/08838151.2013.816712.
  • Loecherbach, F., K. Welbers, J. Moeller, D. Trilling, and W. van Atteveldt. 2021. “Is this a click towards diversity? Explaining When and Why News Users Make Diverse Choices.” 13th ACM Web Science Conference 2021, 282–290. https://doi.org/10.1145/3447535.3462506.
  • Lorenz-Spreen, P., S. Lewandowsky, C. R. Sunstein, and R. Hertwig. 2020. “How Behavioural Sciences Can Promote Truth, Autonomy and Democratic Discourse Online.” Nature Human Behaviour 4 (11): 1102–1109. https://doi.org/10.1038/s41562-020-0889-7.
  • Maier, M., F. Bartoš, T. Stanley, D. R. Shanks, A. J. Harris, and E. J. Wagenmakers. 2022. “No Evidence for Nudging after Adjusting for Publication Bias.” Proceedings of the National Academy of Sciences 119 (31) https://doi.org/10.1073/pnas.2200300119.
  • Mattis, N., P. K. Masur, J. Möller, and W. van Atteveldt. 2022. “Nudging towards News Diversity: A Theoretical Framework for Facilitating Diverse News Consumption through Recommender Design.” New Media & Society 26: 146144482211044. https://doi.org/10.1177/14614448221104413.
  • Metzger, M. J., A. J. Flanagin, and R. B. Medders. 2010. “Social and Heuristic Approaches to Credibility Evaluation Online.” Journal of Communication 60 (3): 413–439. https://doi.org/10.1111/j.1460-2466.2010.01488.x.
  • Messing, S., and S. J. Westwood. 2014. “Selective Exposure in the Age of Social Media: Endorsements Trump Partisan Source Affiliation When Selecting News Online.” Communication Research 41 (8): 1042–1063. https://doi.org/10.1177/0093650212466406.
  • Möller, J., D. Trilling, N. Helberger, and B. van Es. 2018. “Do Not Blame It on the Algorithm: An Empirical Assessment of Multiple Recommender Systems and Their Impact on Content Diversity.” Information, Communication & Society 21 (7): 959–977. https://doi.org/10.1080/1369118X.2018.1444076.
  • Newman, N., R. Fletcher, K. Eddy, C. T. Robertson, and R. K. Nielsen. 2023. Digital News Report 2023. Reuters Institute for the Study of Journalism.
  • Pennycook, G., and D. G. Rand. 2022. “Nudging Social Media toward Accuracy.” The Annals of the American Academy of Political and Social Science 700 (1): 152–164. https://doi.org/10.1177/00027162221092342.
  • R Core Team. 2017. “R: A Language and Environment for Statistical Computing.” https://www.R-project.org/.
  • Rieger, A., T. Draws, M. Theune, and N. Tintarev. 2021. “This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias.” Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 189–199. https://doi.org/10.1145/3465336.3475101.
  • Rimal, R. N., and K. Real. 2005. “How Behaviors Are Influenced by Perceived Norms: A Test of the Theory of Normative Social Behavior.” Communication Research 32 (3): 389–414. https://doi.org/10.1177/0093650205275385.
  • Skurka, C., M. Liao, and H. Gil de Zúñiga. 2023. “Tuning out (Political and Science) News? A Selective Exposure Study of the News Finds Me Perception.” Communication Research 2023, 528. https://doi.org/10.1177/00936502231215528.
  • Sundar, S. S., H. Jia, T. F. Waddell, and Y. Huang. 2015. “Toward a Theory of Interactive Media Effects (TIME): Four Models for Explaining How Interface Features Affect User Psychology.” In The Handbook of the Psychology of Communication Technology, edited by S. S. Sundar, 1st ed., 47–86. Malden: Wiley. https://doi.org/10.1002/9781118426456.ch3.
  • Thaler, R., and C. R. Sunstein. 2009. Nudge: Improving Decisions about Health, Wealth, and Happiness. New York: Penguin.
  • Ulloa, R., and C. S. Kacperski. 2023. “Search Engine Effects on News Consumption: Ranking and Representativeness Outweigh Familiarity in News Selection.” New Media & Society 2023: 146144482311549. https://doi.org/10.1177/14614448231154926.
  • Vraga, E. K., and M. Tully. 2019. “Engaging with the Other Side: Using News Media Literacy Messages to Reduce Selective Exposure and Avoidance.” Journal of Information Technology & Politics 16 (1): 77–86. https://doi.org/10.1080/19331681.2019.1572565.
  • Winter, S., M. J. Metzger, and A. J. Flanagin. 2016. “Selective Use of News Cues: A Multiple-Motive Perspective on Information Selection in Social Media Environments: Selective Use of News Cues.” Journal of Communication 66 (4): 669–693. https://doi.org/10.1111/jcom.12241.
  • Wojcieszak, M., S. Winter, and X. Yu. 2020. “Social Norms and Selectivity: Effects of Norms of Open-Mindedness on Content Selection and Affective Polarization.” Mass Communication and Society 23 (4): 455–483. https://doi.org/10.1080/15205436.2020.1714663.
  • Yang, J. 2016. “Effects of Popularity-Based News Recommendations (“Most-Viewed”) on Users’ Exposure to Online News.” Media Psychology 19 (2): 243–271. https://doi.org/10.1080/15213269.2015.1006333.