The cueing power of comments on social media: how disagreement in Facebook comments affects user engagement with news

References

• Bakshy, E., Messing, S., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132. https://doi.org/https://doi.org/10.1126/science.aaa1160
   PubMed Web of Science ®Google Scholar
• Barbera, P., Piccirilli, M., Geisler, A., & van Atteveldt, W. (2017). Package rFacebook. https://cran.r-project.org/web/packages/Rfacebook/index.html
   Google Scholar
• Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823.
   Google Scholar
• Bode, L., & Vraga, E. K. (2018). See something, say something: Correction of global health misinformation on social media. Health Communication, 33(9), 1131–1140. https://doi.org/https://doi.org/10.1080/10410236.2017.1331312
   PubMed Web of Science ®Google Scholar
• Bossetta, M., Dutceac Segesten, A., & Trenz, H. J. (2017). Engaging with European politics through Twitter and Facebook: Participation beyond the national? In M.Barisione, A. Michailidou (Eds.), Social media and European politics (pp. 53–76). Palgrave Macmillan.
   Google Scholar
• Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10(1), 433–436. https://doi.org/https://doi.org/10.1163/156856897X00357
   PubMedGoogle Scholar
• Bright, J. (2016). The social news gap: How news reading and news sharing diverge. Journal of Communication, 66(3), 343–365. https://doi.org/https://doi.org/10.1111/jcom.12232
   Web of Science ®Google Scholar
• Chen, Z., & Berger, J. (2013). When, why, and how controversy causes conversation. Journal of Consumer Research, 40(3), 580–593. https://doi.org/https://doi.org/10.1086/671465
   Web of Science ®Google Scholar
• Duchowski, A. T. (2002). A breadth-first survey of eye-tracking applications. Behavior Research Methods, Instruments, & Computers, 34(1), 455–470. https://doi.org/https://doi.org/10.3758/BF03195475
   PubMedGoogle Scholar
• 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/https://doi.org/10.1080/1369118X.2017.1379550
   Web of Science ®Google Scholar
• Eilders, C. (2006). News factors and news decisions. Theoretical and methodological advances in Germany. Communications, 31(1), 5–24. https://doi.org/https://doi.org/10.1515/COMMUN.2006.002
   Google Scholar
• Gidlöf, K., Holmberg, N., & Sandberg, H. (2012). The use of eye-tracking and retrospective interviews to study teenagers’ exposure to online advertising. Visual Communication, 11(3), 329–345. https://doi.org/https://doi.org/10.1177/1470357212446412
   Web of Science ®Google Scholar
• Gil de Zúñiga, H., Weeks, B., & Ardèvol-Abreu, A. (2017). Effects of the news-finds-me perception in communication: Social media use implications for news seeking and learning about politics. Journal of Computer-Mediated Communication, 22(3), 105–123. https://doi.org/https://doi.org/10.1111/jcc4.12185
   Web of Science ®Google Scholar
• Graber, D. A. (1988). Processing the news: How people tame the information tide (2nd ed.). Longman.
   Google Scholar
• Haenschen, K. (2019). Self-Reported versus digitally recorded: Measuring political activity on Facebook. Social Science Computer Review, 38, 567–583. https://doi.org/https://doi.org/10.1177/0894439318813586
   Web of Science ®Google Scholar
• Hessels, R. S., Niehorster, D. C., Kemner, C., & Hooge, I. T. (2017). Noise-robust fixation detection in eye movement data: Identification by two-means clustering (I2MC). Behavior Research Methods, 49(5), 1802–1823. https://doi.org/https://doi.org/10.3758/s13428-016-0822-1
   PubMed Web of Science ®Google Scholar
• Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & van de Weijer, J. (2011). Eye tracking: A comprehensive guide to methods and measures. Oxford University Press.
   Google Scholar
• Huckfeldt, R., Johnson, P. E., Johnson, P. E., & Sprague, J. (2004). Political disagreement: The survival of diverse opinions within communication networks. Cambridge University Press.
   Google Scholar
• Just, M. A., & Carpenter, P. A. (1980). A theory of reading: From eye fixations to comprehension. Psychological Review, 87(4), 329–354. https://doi.org/https://doi.org/10.1037/0033-295X.87.4.329
   PubMed Web of Science ®Google Scholar
• Kalsnes, B., & Larsson, A. O. (2018). Understanding news sharing across social media. Journalism Studies, 19(11), 1669–1688. https://doi.org/https://doi.org/10.1080/1461670X.2017.1297686
   Web of Science ®Google Scholar
• Klofstad, C. A., Sokhey, A. E., & McClurg, S. D. (2013). Disagreeing about disagreement: How conflict in social networks affects political behavior. American Journal of Political Science, 57(1), 120–134. https://doi.org/https://doi.org/10.1111/j.1540-5907.2012.00620.x
   Web of Science ®Google Scholar
• Kruikemeier, S., Lecheler, S., & Boyer, M. M. (2018). Learning from news on different media platforms: An eye-tracking experiment. Political Communication, 35(1), 75–96. https://doi.org/https://doi.org/10.1080/10584609.2017.1388310
   Web of Science ®Google Scholar
• Long, J. D. (2012). Longitudinal data analysis for the behavioral sciences using R. Sage Publications.
   Google Scholar
• Messing, S., & Westwood, S. J. (2014). Selective exposure in the age of social media. Communication Research, 41(8), 1042–1063. https://doi.org/https://doi.org/10.1177/0093650212466406
   Web of Science ®Google Scholar
• Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010). Social and heuristic approaches to credibility evaluation online. Journal of Communication, 60(3), 413–439. https://doi.org/https://doi.org/10.1111/j.1460-2466.2010.01488.x
   Web of Science ®Google Scholar
• Mutz, D. C. (2006). Hearing the other side: Deliberative versus participatory democracy. Cambridge University Press.
   Google Scholar
• Niehorster, D. C., Andersson, R., & Nyström, M. (2020). Titta: A toolbox for creating Psychtoolbox and Psychopy experiments with Tobii eye trackers. Behavior Research Methods, 52, 1970–1979. https://doi.org/https://doi.org/10.3758/s13428-020-01358-8
   PubMedGoogle Scholar
• Pärnamets, P., Johansson, P., Hall, L., Balkenius, C., Spivey, M. J., & Richardson, D. C. (2015). Biasing moral decisions by exploiting the dynamics of eye gaze. Proceedings of the National Academy of Sciences, 112(13), 4170–4175. https://doi.org/https://doi.org/10.1073/pnas.1415250112
   PubMed Web of Science ®Google Scholar
• Pew Research. (2018). Fact sheet: News media and political attitudes in Sweden. https://www.pewresearch.org/global/wp-content/uploads/sites/2/2018/05/PJ_2018.05.17_Media-Politics-Western-Europe_Fact-Sheet_Sweden.pdf
   Google Scholar
• Pierce, D. R., Redlawsk, D. P., & Cohen, W. W. (2017). Social influences on online political information search and evaluation. Political Behavior, 39(3), 651–673. https://doi.org/https://doi.org/10.1007/s11109-016-9374-4
   Google Scholar
• Rayner, K. (1998). Eyemovements in reading and information processing: 20 years of research. Psychological Bulletin, 124(1), 372–422. https://doi.org/https://doi.org/10.1037/0033-2909.124.3.372
   PubMedGoogle Scholar
• Reinemann, C., Stanyer, J., & Scherr, S. (2016). Hard and soft news. In comparing political Journalism (pp. 149–167). Routledge.
   Google Scholar
• Reuters Institute. (2018). Digital news report. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/digital-news-report-2018.pdf
   Google Scholar
• Scholz, C., Baek, E. C., O’Donnell, M. B., Kim, H. S., Cappella, J. N., & Falk, E. B. (2017). A neural model of valuation and information virality. Proceedings of the National Academy of Sciences, 114(11), 2881–2886. https://doi.org/https://doi.org/10.1073/pnas.1615259114
   PubMed Web of Science ®Google Scholar
• Stroud, N. J., & Muddiman, A. (2019). Social media engagement with strategy- and issue-framed political news. Journal of Communication, 69(5), 443–466. https://doi.org/https://doi.org/10.1093/joc/jqz029
   Web of Science ®Google Scholar
• Stroud, N. J., Scacco, J. M., Muddiman, A., & Curry, A. L. (2015). Changing deliberative norms on news organizations’ Facebook sites. Journal of Computer-Mediated Communication, 20(2), 188–203. https://doi.org/https://doi.org/10.1111/jcc4.12104
   Web of Science ®Google Scholar
• Sülflow, M., Schäfer, S., & Winter, S. (2019). Selective attention in the news feed: An eye-tracking study on the perception and selection of political news posts on Facebook. New Media & Society, 21(1), 168–190. https://doi.org/https://doi.org/10.1177/1461444818791520
   Web of Science ®Google Scholar
• Trilling, D., Tolochko, P., & Burscher, B. (2017). From newsworthiness to shareworthiness. Journalism & Mass Communication Quarterly, 94(1), 38–60. https://doi.org/https://doi.org/10.1177/1077699016654682
   Web of Science ®Google Scholar
• Valenzuela, S., Piña, M., & Ramírez, J. (2017). Behavioral effects of framing on social media users: How conflict, economic, human interest, and morality frames drive news sharing. Journal of Communication, 67(5), 803–826. https://doi.org/https://doi.org/10.1111/jcom.12325
   Web of Science ®Google Scholar
• Vraga, E. K., Bode, L., Smithson, A. B., & Troller-Renfree, S. (2019). Accidentally attentive: Comparing visual, close-ended, and open-ended measures of attention on social media. Computers in Human Behavior, 99, 235–244. https://doi.org/https://doi.org/10.1016/j.chb.2019.05.017
   Web of Science ®Google Scholar
• Vraga, E., Bode, L., & Troller-Renfree, S. (2016). Beyond self-reports: Using eye tracking to measure topic and style differences in attention to social media content. Communication Methods and Measures, 10(2–3), 149–164. https://doi.org/https://doi.org/10.1080/19312458.2016.1150443
   Web of Science ®Google Scholar
• Winter, S. (2018). Impression-motivated news consumption Journal of Media Psychology, 31, 203–213. https://doi.org/https://doi.org/10.1027/1864-1105/a000245
   Google Scholar
• Winter, S., Brückner, C., & Krämer, N. C. (2015). They came, they liked, they commented: Social influence on Facebook news channels. Cyberpsychology, Behavior, and Social Networking, 18(8), 431–436. https://doi.org/https://doi.org/10.1089/cyber.2015.0005
   PubMed Web of Science ®Google Scholar
• Wright, S., Graham, T., & Jackson, D. (2015). Third space, social media, and everyday political talk. In A. Bruns, G. Enli, E. Skogerbø, A. O. Larsson, & C. Christensen (Eds.), The Routledge companion to social media and politics (pp. 74–88). Routledge.
   Google Scholar
• Ziegele, M., Weber, M., Quiring, O., & Breiner, T. (2018). The dynamics of online news discussions: Effects of news articles and reader comments on users’ involvement, willingness to participate, and the civility of their contributions. Information, Communication & Society, 21(10), 1419–1435. https://doi.org/https://doi.org/10.1080/1369118X.2017.1324505
   Web of Science ®Google Scholar