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Research Article

Talking Past Each Other on Twitter: Thematic, Event, and Temporal Divergences in Polarized Partisan Expression on ImmigrationOpen Materials

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References

  • Abramowitz, A. I. (2010). The disappearing center: Engaged citizens, polarization, and American democracy. Yale University Press.
  • Abramowitz, A. I., & Saunders, K. L. (2008). Is polarization a myth? The Journal of Politics, 70(2), 542–555. https://doi.org/10.1017/S0022381608080493
  • Arbour, B. (2014). Issue frame ownership: The partisan roots of campaign rhetoric. Political Communication, 31(4), 60A4–627. https://doi.org/10.1080/10584609.2013.852639
  • Aruguete, N., & Calvo, E. (2018). Time to# protest: Selective exposure, cascading activation, and framing in social media. Journal of Communication, 68(3), 480–502. https://doi.org/10.1093/joc/jqy007
  • Baden, C., Kligler-Vilenchik, N., & Yarchi, M. (2020). Hybrid content analysis: Toward a strategy for the theory-driven, computer-assisted classification of large text corpora. Communication Methods and Measures, 14(3), 165–183. https://doi.org/10.1080/19312458.2020.1803247
  • Bail, C. (2021). Breaking the social media prism. Princeton University Press.
  • 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/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
  • Barberá, P. (2020). Social Media, Echo Chambers, and Political Polarization. In N. Persily & J. Tucker (Eds.), Social Media and Democracy: The State of the Field, Prospects for Reform (pp.34–55).
  • Barberá, P., Jost, J. T., Nagler, J., Tucker, J. A., & Bonneau, R. (2015). Tweeting from left to right: Is online political communication more than an echo chamber? Psychological Science, 26(10), 1531–1542. https://doi.org/10.1177/0956797615594620
  • Benkler, Y., Faris, R., & Roberts, H. (2018). Network propaganda: Manipulation, disinformation, and radicalization in American politics. Oxford University Press. https://doi.org/10.1093/oso/9780190923624.001.0001
  • Bennett, W. L., & Iyengar, S. (2008). A new era of minimal effects? The changing foundations of political communication. Journal of Communication, 58(4), 707–731. https://doi.org/10.1111/j.1460-2466.2008.00410.x
  • Bennett, W. L., & Pfetsch, B. (2018). Rethinking political communication in a time of disrupted public spheres. Journal of Communication, 68(2), 243–253. https://doi.org/10.1093/joc/jqx017
  • Binder, A. R., Dalrymple, K. E., Brossard, D., & Scheufele, D. A. (2009). The soul of a polarized democracy: Testing theoretical linkages between talk and attitude extremity during the 2004 presidential election. Communication Research, 36(3), 315–340. https://doi.org/10.1177/0093650209333023
  • Bode, L. (2016). Pruning the news feed: Unfriending and unfollowing political content on social media. Research & Politics, 3(3), 2053168016661873. https://doi.org/10.1177/2053168016661873
  • Borah, P., Ghosh, S., Hwang, J., Shah, D. V., & Brauer, M. (2023). Red media vs. Blue Media: Social Distancing and Partisan News Media Use During the COVID-19 Pandemic. Health Communication, 1–11. https://doi.org/10.1080/10410236.2023.2167584
  • Boxell, L., Gentzkow, M., & Shapiro, J. M. (2020). Cross-country trends in affective polarization (No. w26669). National Bureau of Economic Research.
  • Bozdag, C. (2020). Managing diverse online networks in the context of polarization: Understanding how we grow apart on and through social media. Social Media+ Society, 6(4), 2056305120975713. https://doi.org/10.1177/2056305120975713
  • 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. https://doi.org/10.1073/pnas.1618923114
  • Chavez, J. M., & Provine, D. M. (2009). Race and the response of state legislatures to unauthorized immigrants. The Annals of the American Academy of Political and Social Science, 623(1), 78–92. https://doi.org/10.1177/0002716208331014
  • Chong, D., & Druckman, J. N. (2007). Framing theory. Annual Review of Political Science, 10(1), 103–126. https://doi.org/10.1146/annurev.polisci.10.072805.103054
  • Chong, D., & Druckman, J. N. (2013). Counterframing effects. The Journal of Politics, 75(1), 1–16. https://doi.org/10.1017/S0022381612000837
  • Chun, J. W., & Lee, M. J. (2017). When does individuals’ willingness to speak out increase on social media? Perceived social support and perceived power/control. Computers in Human Behavior, 74, 120–129. https://doi.org/10.1016/j.chb.2017.04.010
  • Cobb, C. L., Xie, D., Meca, A., & Schwartz, S. J. (2017). Acculturation, discrimination, and depression among unauthorized Latinos/as in the United States. Cultural Diversity and Ethnic Minority Psychology, 23(2), 258–268. https://doi.org/10.1037/cdp0000118
  • Coleman, S., & Gøtze, J. (2001). Bowling together: Online public engagement in policy deliberation. Hansard Society.
  • Craig, T. (2020). U.S. political divide becomes increasingly violent, rattling activists and police. The Washington Post.
  • d’Albis, H., Boubtane, E., & Coulibaly, D. (2018). Macroeconomic evidence suggests that asylum seekers are not a “burden” for Western European countries. Science Advances, 4(6), eaaq0883. https://doi.org/10.1126/sciadv.aaq0883
  • Day, M. V., Fiske, S. T., Downing, E. L., & Trail, T. E. (2014). Shifting liberal and conservative attitudes using moral foundations theory. Personality and Social Psychology Bulletin, 40(12), 1559–1573. https://doi.org/10.1177/0146167214551152
  • DeVito, M. A. (2017). From editors to algorithms: A values-based approach to understanding story selection in the Facebook news feed. Digital Journalism, 5(6), 753–773. https://doi.org/10.1080/21670811.2016.1178592
  • Durkheim, E. (2014). The division of labor in society. Simon and Schuster.
  • Entman, R. M. (2003). Cascading activation: Contesting the White House’s frame after 9/11. Political Communication, 20(4), 415–432. https://doi.org/10.1080/10584600390244176
  • Eveland, W. P., Jr., Coduto, K. D., Appiah, O., & Bullock, O. M. (2020). Listening during political conversations: Traits and situations. Political Communication, 37(5), 656–677. https://doi.org/10.1080/10584609.2020.1736701
  • Farkas, J., & Schou, J. (2019). Post-truth, fake news and democracy: Mapping the politics of falsehood. Routledge.
  • Feldman, L., & Hart, P. S. (2018). Climate change as a polarizing cue: Framing effects on public support for low-carbon energy policies. Global Environmental Change, 51, 54–66. https://doi.org/10.1016/j.gloenvcha.2018.05.004
  • Ferrucci, P., Hopp, T., & Vargo, C. J. (2020). Civic engagement, social capital, and ideological extremity: Exploring online political engagement and political expression on Facebook. New Media & Society, 22(6), 1095–1115. https://doi.org/10.1177/1461444819873110
  • Finkel, E. J., Bail, C. A., Cikara, M., Ditto, P. H., Iyengar, S., Klar, S., Mason, L., McGrath, M., Nyhan, B., Rand, D. G., Skitka, L. J., Tucker, J. A., Van Bavel, J., Wang, S. S., & Druckman, J. N. (2020). Political sectarianism in America. Science, 370(6516), 533–536. https://doi.org/10.1126/science.abe1715
  • Fox, J., Finke, R., & Eisenstein, M. A. (2019). Examining the causes of government-based discrimination against religious minorities in western democracies: Societal-level discrimination and securitization. Comparative European Politics, 17(6), 885–909. https://doi.org/10.1057/s41295-018-0134-1
  • Friedland, L. A. (2001). Communication, community, and democracy: Toward a theory of the communicatively integrated community. Communication Research, 28(4), 358–391. https://doi.org/10.1177/009365001028004002
  • Frimer, J. A., Skitka, L. J., & Motyl, M. (2017). Liberals and conservatives are similarly motivated to avoid exposure to one another’s opinions. Journal of Experimental Social Psychology, 72, 1–12. https://doi.org/10.1016/j.jesp.2017.04.003
  • Galston, W. A. (2002). Liberal pluralism: The implications of value pluralism for political theory and practice. Cambridge University Press.
  • Gearhart, S., & Zhang, W. (2014). Gay bullying and online opinion expression: Testing spiral of silence in the social media environment. Social Science Computer Review, 32(1), 18–36. https://doi.org/10.1177/0894439313504261
  • Green, J., Edgerton, J., Naftel, D., Shoub, K., & Cranmer, S. J. (2020). Elusive consensus: Polarization in elite communication on the COVID-19 pandemic. Science Advances, 6(28), eabc2717. https://doi.org/10.1126/sciadv.abc2717
  • Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences, 101(suppl 1), 5228–5235. https://doi.org/10.1073/pnas.0307752101
  • 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. https://doi.org/10.1126/science.aau2706
  • Grossmann, M., & Hopkins, D. A. (2016). Asymmetric politics: Ideological Republicans and group interest democrats. Oxford University Press.
  • Grover, T., Bayraktaroglu, E., Mark, G., & Rho, E. H. R. (2019). Moral and affective differences in us immigration policy debate on twitter. Computer Supported Cooperative Work (CSCW), 28(3–4), 317–355. https://doi.org/10.1007/s10606-019-09357-w
  • Guo, L., Vargo, C. J., Pan, Z., Ding, W., & Ishwar, P. (2016). Big social data analytics in journalism and mass communication: Comparing dictionary-based text analysis and unsupervised topic modeling. Journalism & Mass Communication Quarterly, 93(2), 332–359. https://doi.org/10.1177/1077699016639231
  • Habermas, J. (1994). Three normative models of democracy. Constellations, 1(1), 1–10. https://doi.org/10.1111/j.1467-8675.1994.tb00001.x
  • Habermas, J. (2009). Europe: The faltering project. Polity.
  • Hainmueller, J., & Hopkins, D. J. (2014). Public attitudes toward immigration. Annual Review of Political Science, 17(1), 225–249. https://doi.org/10.1146/annurev-polisci-102512-194818
  • Heiss, R., & Matthes, J. (2020). Stuck in a nativist spiral: Content, selection, and effects of right-wing populists’ communication on Facebook. Political Communication, 37(3), 1–26. https://doi.org/10.1080/10584609.2019.1661890
  • He, M., Liu, B., & Li, Y. (2021). Redemption of travelers’ spoiled identity in a time of health crisis: The role of empathy and social distance. Journal of Hospitality & Tourism Management, 47, 262–272. https://doi.org/10.1016/j.jhtm.2021.03.019
  • 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
  • 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. https://doi.org/10.1146/annurev-polisci-051117-073034
  • Iyengar, S., Sood, G., & Lelkes, Y. (2012). Affect, not ideology: A social identity perspective on polarization. Public Opinion Quarterly, 76(3), 405–431. https://doi.org/10.1093/poq/nfs038
  • Jacobson, G. C. (2012). The electoral origins of polarized politics: Evidence from the 2010 cooperative congressional election study. American Behavioral Scientist, 56(12), 1612–1630. https://doi.org/10.1177/0002764212463352
  • Jiang, X., Su, M. H., Hwang, J., Lian, R., Brauer, M., Kim, S., & Shah, D. (2021). Polarization over vaccination: Ideological differences in twitter expression about COVID-19 vaccine favorability and specific hesitancy concerns. Social Media+ Society, 7(3), 20563051211048413. https://doi.org/10.1177/20563051211048413
  • Kearney, M. W. (2019). Analyzing change in network polarization. New Media & Society, 21(6), 1380–1402. https://doi.org/10.1177/1461444818822813
  • Kim, Y. M. (2009). Issue publics in the new information environment: Selectivity, domain specificity, and extremity. Communication Research, 36(2), 254–284. https://doi.org/10.1177/0093650208330253
  • Kligler-Vilenchik, N., Baden, C., & Yarchi, M. (2020). Interpretative polarization across platforms: How political disagreement develops over time on Facebook, Twitter, and WhatsApp. Social Media+ Society, 6(3), 2056305120944393. https://doi.org/10.1177/2056305120944393
  • Knobloch-Westerwick, S., & Meng, J. (2011). Reinforcement of the political self through selective exposure to political messages. Journal of Communication, 61(2), 349–368. https://doi.org/10.1111/j.1460-2466.2011.01543.x
  • Koopmans, R., Erbe, J., & Meyer, M. (2010). The Europeanization of public spheres. In R. Koopmans & P. Statham (Eds.), Chapter in the making of a European public sphere (pp. 63–96). Cambridge Press.
  • Kreiss, D. (2016). Seizing the moment: The presidential campaigns’ use of Twitter during the 2012 electoral cycle. New Media & Society, 18(8), 1473–1490. https://doi.org/10.1177/1461444814562445
  • Lasorsa, D. L., Lewis, S. C., & Holton, A. E. (2012). Normalizing twitter: Journalism practice in an emerging communication space. Journalism Studies, 13(1), 19–36. https://doi.org/10.1080/1461670X.2011.571825
  • Lazarus, J., & Thornton, J. R. (2021). Bully pulpit? Twitter users’ engagement with President Trump’s tweets. Social Science Computer Review, 39(5), 961–980. https://doi.org/10.1177/0894439320946578
  • Le, T. K., Cha, L., Han, H. R., & Tseng, W. (2020). Anti-Asian Xenophobia and Asian American COVID-19 disparities. American Journal of Public Health, 110(9), 1371–1373. https://doi.org/10.2105/AJPH.2020.305846
  • Lelkes, Y. (2016). Mass polarization: Manifestations and measurements. Public Opinion Quarterly, 80(S1), 392–410. https://doi.org/10.1093/poq/nfw005
  • Levy, R. E. (2021). Social media, news consumption, and polarization: Evidence from a field experiment. American Economic Review, 111(3), 831–870. https://doi.org/10.1257/aer.20191777
  • Lewandowsky, S., Ecker, U. K., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353–369. https://doi.org/10.1016/j.jarmac.2017.07.008
  • Maier, D., Waldherr, A., Miltner, P., Wiedemann, G., Niekler, A., Keinert, A., Schmid-Petri, H., Reber, U., Häussler, T., Schmid-Petri, H., Adam, S., & Pfetsch, B. (2018). Applying LDA topic modeling in communication research: Toward a valid and reliable methodology. Communication Methods and Measures, 12(2–3), 93–118. https://doi.org/10.1080/19312458.2018.1430754
  • Mason, L. (2015). “I disrespectfully agree”: The differential effects of partisan sorting on social and issue polarization. American Journal of Political Science, 59(1), 128–145. https://doi.org/10.1111/ajps.12089
  • McCright, A. M., & Dunlap, R. E. (2011). The politicization of climate change and polarization in the American public’s views of global warming, 2001–2010. The Sociological Quarterly, 52(2), 155–194. https://doi.org/10.1111/j.1533-8525.2011.01198.x
  • McGregor, S. C. (2019). Social media as public opinion: How journalists use social media to represent public opinion. Journalism, 20(8), 1070–1086. https://doi.org/10.1177/1464884919845458
  • McLeod, D. M., Choung, H., Su, M. H., Kim, S. J., Tao, R., Liu, J., & Lee, B. (2022). Navigating a diverse paradigm: A conceptual framework for experimental framing effects research. Review of Communication Research, 10, 10. https://doi.org/10.12840/ISSN.2255-4165.033
  • Mooney, C. (2017). Confronting discrimination against immigrants. The Rosen Publishing Group, Inc.
  • Mukerjee, S., & Yang, T. (2020). Choosing to avoid? A conjoint experimental study to understand selective exposure and avoidance on social media. Political Communication, 38(3), 1–19. https://doi.org/10.1080/10584609.2020.1763531
  • Mutz, D. C. (2006). Hearing the other side: Deliberative versus participatory democracy. Cambridge University Press.
  • Pan, Z., & Kosicki, G. M. (1993). Framing analysis: An approach to news discourse. Political Communication, 10(1), 55–75. https://doi.org/10.1080/10584609.1993.9962963
  • Pariser, E. (2011). The filter bubble: What the Internet is hiding from you. Penguin UK. https://doi.org/10.3139/9783446431164
  • Park, R. E., & Mitchell, B. M. (1980). Estimating the autocorrelated error model with trended data. Journal of Econometrics, 13(2), 185–201. https://doi.org/10.1016/0304-4076(80)90014-7
  • Petrocik, J. R. (1996). Issue ownership in presidential elections, with a 1980 case study. American Journal of Political Science, 40(3), 825–850. https://doi.org/10.2307/2111797
  • Romer, D., & Jamieson, K. H. (2021). Conspiratorial thinking, selective exposure to conservative media, and response to COVID-19 in the US. Social Science & Medicine, 291, 114480. https://doi.org/10.1016/j.socscimed.2021.114480
  • Ruiz, N. G., Horowitz, J. M., & Tamir, C. (2020). Many black and Asian Americans say they have experienced discrimination amid the COVID-19 outbreak. Pew Research Center.
  • Schneider, S. K., & Jacoby, W. G. (2005). Elite discourse and American public opinion: The case of welfare spending. Political Research Quarterly, 58(3), 367–379. https://doi.org/10.2307/3595608
  • Settle, J. E. (2018). Frenemies: How social media polarizes America. Cambridge University Press.
  • Shah, D. V. (2016). Conversation is the soul of democracy: Expression effects, communication mediation, and digital media. Communication and the Public, 1(1), 12–18. https://doi.org/10.1177/2057047316628310
  • Shah, D. V., Cappella, J. N., & Neuman, W. R. (2015). Big data, digital media, and computational social science: Possibilities and perils. The ANNALS of the American Academy of Political and Social Science, 659(1), 6–13. https://doi.org/10.1177/0002716215572084
  • Shin, J., & Thorson, K. (2017). Partisan selective sharing: The biased diffusion of fact-checking messages on social media. Journal of Communication, 67(2), 233–255. https://doi.org/10.1111/jcom.12284
  • Stanley-Becker, I. (2020). Mask or no mask? Face coverings become tool in partisan combat. Washington Post. https://www.washingtonpost.com/politics/in-virus-response-riven-by-politics-masks-are-latest-rorschach-test/2020/05/12/698477d4-93e6-11ea-91d7-cf4423d47683story.html
  • Stroud, N. J. (2017). Attention as a valuable resource. Political Communication, 34(3), 479–489. https://doi.org/10.1080/10584609.2017.1330077
  • Suk, J., Shah, D. V., & McLeod, D. M. (2022). Breaking the “virtuous circle”: How partisan communication flows can erode social trust but drive participation. Human Communication Research, 48(1), 88–115. https://doi.org/10.1093/hcr/hqab015
  • Van Bavel, J. J., & Pereira, A. (2018). The partisan brain: An identity-based model of political belief. Trends in Cognitive Sciences, 22(3), 213–224. https://doi.org/10.1016/j.tics.2018.01.004
  • Waisbord, S. (2018). Truth is what happens to news: On journalism, fake news, and post-truth. Journalism Studies, 19(13), 1866–1878. https://doi.org/10.1080/1461670X.2018.1492881
  • Webster, J. G. (2014). The marketplace of attention: How audiences take shape in a digital age. The MIT Press. https://doi.org/10.7551/mitpress/9892.001.0001
  • Wells, C., Cramer, K. J., Wagner, M. W., Alvarez, G., Friedland, L. A., Shah, D. V., Bode, L., Edgerly, S., Gabay, I., & Franklin, C. (2017). When we stop talking politics: The maintenance and closing of conversation in contentious times. Journal of Communication, 67(1), 131–157. https://doi.org/10.1111/jcom.12280
  • Wells, C., Shah, D., Lukito, J., Pelled, A., Pevehouse, J. C., & Yang, J. (2020). Trump, Twitter, and news media responsiveness: A media systems approach. New Media & Society, 22(4), 659–682. https://doi.org/10.1177/1461444819893987
  • Wessler, H. (2008). Habermas and the media. John Wiley & Sons.
  • Yaqub, U., Chun, S. A., Atluri, V., & Vaidya, J. (2017). Analysis of political discourse on twitter in the context of the 2016 US presidential elections. Government Information Quarterly, 34(4), 613–626. https://doi.org/10.1016/j.giq.2017.11.001
  • Yarchi, M., Baden, C., & Kligler-Vilenchik, N. (2021). Political polarization on the digital sphere: A cross-platform, over-time analysis of interactional, positional, and affective polarization on social media. Political Communication, 38(1–2), 98–139. https://doi.org/10.1080/10584609.2020.1785067
  • Zaller, J. (1992). The nature and origins of mass opinion. Cambridge university press.
  • Zhang, Y., Chen, F., & Rohe, K. (2022). Social media public opinion as flocks in a murmuration: Conceptualizing and measuring opinion expression on social media. Journal of Computer-Mediated Communication, 27(1), zmab021. https://doi.org/10.1093/jcmc/zmab021
  • Zhang, Y., Shah, D., Pevehouse, J., & Valenzuela, S. (2022). Reactive and asymmetric communication flows: Social media discourse and partisan news framing in the wake of mass shootings. The International Journal of Press/politics, 19401612211072793, 194016122110727. https://doi.org/10.1177/19401612211072793
  • Zhang, Y., Wells, C., Wang, S., & Rohe, K. (2018). Attention and amplification in the hybrid media system: The composition and activity of Donald Trump’s Twitter following during the 2016 presidential election. New Media & Society, 20(9), 3161–3182. https://doi.org/10.1177/1461444817744390

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