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Research Article

Metrics of News Audience Polarization: Same or Different?

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  • Abramowitz, A., & Saunders, K. (2005). Why can’t we all just get along? The reality of a polarized America. The Forum, 3(2), 1–22. https://doi.org/10.2202/1540-8884.1076
  • Abramowitz, A., & Saunders, K. (2008). Is polarization a myth? The Journal of Politics, 70(2), 542–555. https://doi.org/10.1017/S0022381608080493
  • Andersen, K., Johansson, J., Johansson, B., & Shehata, A. (2021). Maintenance and reformation of news repertoires: A latent transition analysis. Journalism & Mass Communication Quarterly, 1–25. https://doi.org/10.1177/10776990211019750
  • Bachl, M. (2017). Selective exposure and hostile media perceptions during election campaigns. International Journal of Public Opinion Research, 29(2), 352–362. https://doi.org/10.1093/ijpor/edw014
  • Bakshy, E., Messing, S., & Adamic, L. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132. https://doi.org/10.1126/science.aaa1160
  • Baldassarri, D., & Gelman, A. (2008). Partisans without constraint: Political polarization and trends in American public opinion. American Journal of Sociology, 114(2), 408–446. https://doi.org/10.1086/590649
  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.48550/arXiv.1406.5823
  • Bos, L., Kruikemeier, S., de Vreese, C., & Chialvo, D. R. (2016). Nation binding: How public service broadcasting mitigates political selective exposure. PLoS One, 11(5), e0155112. https://doi.org/10.1371/journal.pone.0155112
  • Brüggemann, M., Engesser, S., Büchel, F., Humprecht, E., & Castro, L. (2014). Hallin and Mancini revisited: Four empirical types of Western media systems. Journal of Communication, 64(6), 1037–1065. https://doi.org/10.1111/jcom.12127
  • Csárdi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal Complex Systems, 1695(5), 1–9.
  • Curran, J., Iyengar, S., Brink Lund, A., & Salovaara-Moring, I. (2009). Media system, public knowledge and democracy: A comparative study. European Journal of Communication, 24(1), 5–26. https://doi.org/10.1177/0267323108098943
  • Dilliplane, S., Goldman, S. K., & Mutz, D. C. (2013). Televised exposure to politics: New measures for a fragmented media environment. American Journal of Political Science, 57(1), 236–248. https://doi.org/10.1111/j.1540-5907.2012.00600.x
  • Edgerly, S. (2015). Red media, blue media, and purple media: News repertoires in the colorful media landscape. Journal of Broadcasting & Electronic Media, 59(1), 1–21. https://doi.org/10.1080/08838151.2014.998220
  • Everett, M. G., & Borgatti, S. P. (2013). The dual-projection approach for two-mode networks. Social Networks, 35(2), 204–210. https://doi.org/10.1016/j.socnet.2012.05.004
  • Finkel, E. J., Bail, C. A., Cikara, M., Ditto, P. H., Iyengar, S., Klar, S., Mason, L., McGrath, M. G., Nyhan, B., Rand, D. G., Skitka, L. J., Tucker, J. A., van Bavel, J. J., Wand, C. S., & Druckman, J. N. (2020). Political sectarianism in America. Science, 370(6516), 533–536. https://doi.org/10.1126/science.abe1715
  • Fiorina, M. P., Abrams, S. J., & Pope, J. C. (2005). Culture war? Pearson Longman.
  • Fiorina, M. P., & Levendusky, M. (2006). Disconnected: The political class versus the people. In P. S. Nivola & D. W. Brady (Eds.), Red and blue nation? Characteristics and causes of America’s polarized politics (pp. 49–71). Hoover Institution Press.
  • Flaxman, S., Goel, S., & Rao, J. (2016). Filter bubbles, echo chambers, and online news consumption. Public Opinion Quarterly, 80(S1), 298–320. https://doi.org/10.1093/poq/nfw006
  • Fletcher, R., & Nielsen, R. K. (2017). Are news audiences increasingly fragmented? A cross-national comparative analysis of cross-platform news audience fragmentation and duplication. Journal of Communication, 67(4), 476–498. https://doi.org/10.1111/jcom.12315
  • Fletcher, R., Cornia, A., & Nielsen, R. K. (2020). How polarized are online and offline news audiences? A comparative analysis of twelve countries. The International Journal of Press/Politics, 25(2), 169–195. https://doi.org/10.1177/1940161219892768
  • Fletcher, R., Kalogeropoulos, A., & Nielsen, R. K. (2021). More diverse, more politically varied: How social media, search engines and aggregators shape news repertoires in the United Kingdom. New Media & Society, 1–22. https://doi.org/10.1177/14614448211027393
  • Freeman, J. B., & Dale, R. (2013). Assessing bimodality to detect the presence of a dual cognitive process. Behavior Research Methods, 45(1), 83–97. https://doi.org/10.3758/s13428-012-0225-x
  • Gelman, A., & Loken, E. (2014). The statistical crisis in science: Data-dependent analysis—a “garden of forking paths”—explains why many statistically significant comparisons don’t hold up. American Scientist, 102(6), 460–466. https://doi.org/10.1511/2014.111.460
  • Gentzkow, M., & Shapiro, J. M. (2011). Ideological segregation online and offline. Quarterly Journal of Economics, 126(4), 1799–1839. https://doi.org/10.1093/qje/qjr044
  • Goldman, S. K., Mutz, D. C., & Dilliplane, S. (2013). All virtue is relative: A response to prior. Political Communication, 30(4), 635–653. https://doi.org/10.1080/10584609.2013.819540
  • Goodhardt, G. J., Ehrenberg, A. S. C., & Collins, M. A. (1975). The television audience: Patterns of viewing. Lexington Books
  • Hallin, D. C., & Mancini, P. (2004). Comparing media systems: Three models of media and politics. Cambridge University Press. https://doi.org/10.1017/cbo9780511790867
  • Harder, J. A. (2020). The multiverse of methods: Extending the multiverse analysis to address data-collection decisions. Perspectives on Psychological Science, 15(5), 1158–1177. https://doi.org/10.1177/1745691620917678
  • Hare, C., & Poole, K. T. (2014). The polarization of contemporary American politics. Polity, 46(3), 411–429. https://doi.org/10.1057/pol.2014.10
  • Hetherington, M. J. (2009). Putting polarization in perspective. British Journal of Political Science, 39(2), 413–448. https://doi.org/10.1017/S0007123408000501
  • Iyengar, S., & Hahn, K. S. (2009). Red media, blue media: Evidence of ideological selectivity in media use. Journal of Communication, 59(1), 19–39. https://doi.org/10.1111/j.1460-2466.2008.01402.x
  • Jürgens, P., Stark, B., & Magin, M. (2020). Two half-truths make a whole? On bias in self-reports and tracking data. Social Science Computer Review, 38(5), 600–615. https://doi.org/10.1177/0894439319831643
  • Kalogeropoulos, A., Fletcher, R., & Nielsen, R. K. (2019a). News brand attribution in distributed environments: Do people know where they get their news? New Media and Society, 21(3), 583–601. https://doi.org/10.1177/1461444818801313
  • Kalogeropoulos, A., Suiter, J., Udris, L., & Eisenegger, M. (2019b). News media trust and news consumption: Factors related to trust in news in 35 countries. International Journal of Communication, 13, 3672–3693. https://ijoc.org/index.php/ijoc/article/view/10141/2745
  • Ksiazek, T. B., Kim, S. J., & Malthouse, E. C. (2019). Television news repertoires, exposure diversity, and voting behavior in the 2016 US election. Journalism & Mass Communication Quarterly, 96(4), 1120–1144. https://doi.org/10.1177/1077699018815892
  • LaCour, M. (2015). A balanced news diet, not selective exposure: Evidence from a direct measure of media exposure. SSRN Electronic Journal, 1–18. https://papers.ssrn.com/sol3/papers.cfm?Abstract_id=2110621
  • Lelkes, Y. (2016). Mass polarization: Manifestations and measurements. Public Opinion Quarterly, 80(S1), 392–410. https://doi.org/10.1093/poq/nfw005
  • Levendusky, M. (2013). How partisan media polarize America. University of Chicago Press. https://doi.org/10.7208/chicago/9780226069159.001.0001
  • Majó-Vázquez, S., Nielsen, R. K., & González-Bailón, S. (2019). The backbone structure of audience networks: A new approach to comparing online news consumption across countries. Political Communication, 36(2), 227–240. https://doi.org/10.1080/10584609.2018.1546244
  • Mangold, F., Vogelgesang, J., & Scharkow, M. (2017). Nachrichtennutzung in Deutschland: Eine nutzerzentrierte repertoireanalyse [News use in Germany: A user-centric repertoire analysis]. M&K Medien & Kommunikationswissenschaft, 65(4), 704–723. https://doi.org/10.5771/1615-634X-2017-4-704
  • Mangold, F., & Bachl, M. (2018). New news media, new opinion leaders? How political opinion leaders navigate the modern high-choice media environment. Journal of Communication, 68(5), 896–919. https://doi.org/10.1093/joc/jqy033
  • Mangold, F., & Scharkow, M. (2020). How do filtering choices impact the structures of audience networks? A simulation study using data from 26 countries. Communication Methods and Measures, 14(2), 125–144. https://doi.org/10.1080/19312458.2020.1724274
  • Mangold, F., Stier, S., Breuer, J., & Scharkow, M. (2021). The overstated generational gap in online news use? A consolidated infrastructural perspective. New Media & Society, 1–20. https://doi.org/10.1177/1461444821989972
  • Masur, P. K., & Scharkow, M. (2020). Specr: Conducting and visualizing specification curve analyses [R package]. https://CRAN.R-project.org/package=specr
  • Merkley, E. (2020). Polarization eh? Ideological divergence and partisan sorting in the Canadian mass public. OSF Preprints, 1–27. https://osf.io/cnzer
  • Mourão, R. R., Thorson, E., Chen, W., & Tham, S. M. (2018). Media repertoires and news trust during the early Trump administration. Journalism Studies, 19(13), 1945–1956. https://doi.org/10.1080/1461670X.2018.1500492
  • Mukerjee, S., Majó-Vázquez, S., & González-Bailón, S. (2018). Networks of audience overlap in the consumption of digital news. Journal of Communication, 68(1), 26–50. https://doi.org/10.1093/joc/jqx007
  • Mukerjee, S., Yang, T., & González-Bailón, S. (2019). What counts as a weak tie? A comparison of filtering techniques for weighted networks. SSRN Electronic Journal, 1–30. https://ssrn.com/abstract=3368603
  • Nechushtai, E. (2018). From liberal to polarized liberal? Contemporary US news in Hallin and Mancini’s typology of news systems. The International Journal of Press/Politics, 23(2), 183–201. https://doi.org/10.1177/1940161218771902
  • Nelson, J. L., & Webster, J. G. (2017). The myth of partisan selective exposure: A portrait of the online political news audience. Social Media + Society, 3(3), 1–13. https://doi.org/10.1177/2056305117729314
  • Newman, N., Fletcher, R., Levy, D. A., & Nielsen, R. K. (2016). Digital news report 2016. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/our-research/digital-news-report-2016
  • Orben, A., Dienlin, T., & Przybylski, A. K. (2019). Social media’s enduring effect on adolescent life satisfaction. Proceedings of the National Academy of Sciences, 116(21), 10226–10228. https://doi.org/10.1073/pnas.1902058116
  • Parry, D. A., Davidson, B. I., Sewall, C. J., Fisher, J. T., Mieczkowski, H., & Quintana, D. S. (2021). A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour, 5(11), 1535–1547. https://doi.org/10.1038/s41562-021-01117-5
  • Pfister, R., Schwarz, K. A., Janczyk, M., Dale, R., & Freeman, J. (2013). Good things peak in pairs: A note on the bimodality coefficient. Frontiers in Psychology, 4(700), 1–2. https://doi.org/10.3389/fpsyg.2013.00700
  • Prior, M. (2007). Post-broadcast democracy: How media choice increases inequality in political involvement and polarizes elections. Cambridge University Press. https://doi.org/10.1017/cbo9781139878425
  • Prior, M. (2009). Improving media effects research through better measurement of news exposure. The Journal of Politics, 71(3), 893–908. https://doi.org/10.1017/S0022381609090781
  • Scharkow, M. (2016). The accuracy of self-reported Internet use: A validation study using client log data. Communication Methods and Measures, 10(1), 13–27. https://doi.org/10.1080/19312458.2015.1118446
  • Scharkow, M. (2019). The reliability and temporal stability of self-reported media exposure: A meta-analysis. Communication Methods and Measures, 13(3), 198–211. https://doi.org/10.1080/19312458.2019.1594742
  • Scharkow, M., Mangold, F., Stier, S., & Breuer, J. (2020). How social network sites and other online intermediaries increase exposure to news. Proceedings of the National Academy of Sciences, 117(6), 2761–2763. https://doi.org/10.1073/pnas.1918279117
  • Simonsohn, U., Simmons, J. P., & Nelson, L. D. (2019). Specification curve: Descriptive and inferential statistics for all plausible specifications. SSRN Electronic Journal, 1–29. https://doi.org/10.2139/ssrn.2694998
  • Skovsgaard, M., Shehata, A., & Strömbäck, J. (2016). Opportunity structures for selective exposure: Investigating selective exposure and learning in Swedish election campaigns using panel survey data. The International Journal of Press/Politics, 21(4), 527–546. https://doi.org/10.1177/1940161216658157
  • Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing transparency through a multiverse analysis. Perspectives on Psychological Science, 11(5), 702–712. https://doi.org/10.1177/1745691616658637
  • Stier, S., Breuer, J., Siegers, P., & Thorson, K. (2020). Integrating survey data and digital trace data. Social Science Computer Review, 38(5), 503–516. https://doi.org/10.1177/0894439319843669
  • Stier, S., Mangold, F., Scharkow, M., & Breuer, J. (2022). Post post-broadcast democracy? News exposure in the age of online intermediaries. American Political Science Review, 116(2), 768–774. https://doi.org/10.1017/S0003055421001222
  • Strömbäck, J., Falasca, K., & Kruikemeier, S. (2018). The mix of media use matters: Investigating the effects of individual news repertoires on offline and online political participation. Political Communication, 35(3), 413–432. https://doi.org/10.1080/10584609.2017.1385549
  • Stroud, N. J. (2011). Niche news: The politics of news choice. Oxford University Press.
  • Swart, J., Peters, C., & Broersma, M. (2017). Navigating cross-media news use: Media repertoires and the value of news in everyday life. Journalism Studies, 18(11), 1343–1362. https://doi.org/10.1080/1461670X.2015.1129285
  • Taneja, H. (2016). Using commercial audience measurement data in academic research. Communication Methods and Measures, 10(2–3), 176–178. https://doi.org/10.1080/19312458.2016.1150971
  • Taneja, H., Wu, A. X., & Edgerly, S. (2018). Rethinking the generational gap in online news use: An infrastructural perspective. New Media & Society, 20(5), 1792–1812. https://doi.org/10.1177/1461444817707348
  • Trilling, D., & Schönbach, K. (2013). Patterns of news consumption in Austria: How fragmented are they? International Journal of Communication, 7, 929–953. https://ijoc.org/index.php/ijoc/article/view/1769/894
  • Van Aelst, P., Strömbäck, J., Aalberg, T., Esser, F., De Vreese, C., Matthes, J., Hopmann, D., Salgado, S., Hubé, N., Stępińska, A., Papathanassopoulos, S., Berganza, R., Legnante, G., Reinemann, C., Sheafer, T., & Stanyer, J. (2017). Political communication in a high-choice media environment: A challenge for democracy? Annals of the International Communication Association, 41(1), 3–27. https://doi.org/10.1080/23808985.2017.1288551
  • Van Kempen, H. (2007). Media-party parallelism and its effects: A cross-national comparative study. Political Communication, 24(3), 303–320. https://doi.org/10.1080/10584600701471674
  • Webster, J. G., & Ksiazek, T. B. (2012). The dynamics of audience fragmentation: Public attention in an age of digital media. Journal of Communication, 62(1), 39–56. https://doi.org/10.1111/j.1460-2466.2011.01616.x
  • Webster, J. G., & Taneja, H. (2018). Building and interpreting audience networks: A response to Mukerjee, Majo-Vazquez & Gonzalez-Bailon. Journal of Communication, 68(3), E11–E14. https://doi.org/10.1093/joc/jqy024
  • Weeks, B. E., Ksiazek, T. B., & Holbert, R. L. (2016). Partisan enclaves or shared media experiences? A network approach to understanding citizens’ political news environments. Journal of Broadcasting and Electronic Media, 60(2), 248–268. https://doi.org/10.1080/08838151.2016.1164170
  • Welbers, K., & van Atteveldt, W. (2016). Corpustools: Managing, querying and analyzing tokenized text [R package]. http://github.com/kasperwelbers/corpustools
  • Wickham, H., & Grolemund, G. (2017). R for data science: Import, tidy, transform, visualize, and model data. O’Reilly.
  • Wonneberger, A., Schoenbach, K., & van Meurs, L. (2011). Interest in news and politics—or situational determinants? Why people watch the news. Journal of Broadcasting & Electronic Media, 55(3), 325–343. https://doi.org/10.1177/1077699016629372
  • Wonneberger, A., & Irazoqui, M. (2017). Explaining response errors of self-reported frequency and duration of TV exposure through individual and contextual factors. Journalism & Mass Communication Quarterly, 94(1), 259–281. https://doi.org/10.1177/1077699016629372
  • Yuan, E. J., & Ksiazek, T. B. (2011). The duality of structure in China’s national television market: A network analysis of audience behavior. Journal of Broadcasting & Electronic Media, 55(2), 180–197. https://doi.org/10.1080/08838151.2011.570825

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