Like-minded sources on Facebook are prevalent but not polarizing
Author:
Nyhan BrendanORCID, Settle Jaime, Thorson EmilyORCID, Wojcieszak Magdalena, Barberá PabloORCID, Chen Annie Y., Allcott Hunt, Brown TaylorORCID, Crespo-Tenorio Adriana, Dimmery Drew, Freelon DeenORCID, Gentzkow MatthewORCID, González-Bailón SandraORCID, Guess Andrew M.ORCID, Kennedy Edward, Kim Young MieORCID, Lazer David, Malhotra Neil, Moehler DevraORCID, Pan JenniferORCID, Thomas Daniel Robert, Tromble RebekahORCID, Rivera Carlos Velasco, Wilkins Arjun, Xiong Beixian, de Jonge Chad Kiewiet, Franco Annie, Mason Winter, Stroud Natalie JominiORCID, Tucker Joshua A.ORCID
Abstract
AbstractMany critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments have made it difficult to assess the scope of the problem1,2. Here we present data from 2020 for the entire population of active adult Facebook users in the USA showing that content from ‘like-minded’ sources constitutes the majority of what people see on the platform, although political information and news represent only a small fraction of these exposures. To evaluate a potential response to concerns about the effects of echo chambers, we conducted a multi-wave field experiment on Facebook among 23,377 users for whom we reduced exposure to content from like-minded sources during the 2020 US presidential election by about one-third. We found that the intervention increased their exposure to content from cross-cutting sources and decreased exposure to uncivil language, but had no measurable effects on eight preregistered attitudinal measures such as affective polarization, ideological extremity, candidate evaluations and belief in false claims. These precisely estimated results suggest that although exposure to content from like-minded sources on social media is common, reducing its prevalence during the 2020 US presidential election did not correspondingly reduce polarization in beliefs or attitudes.
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Reference47 articles.
1. Lazer, D. M. J. et al. Computational social science: Obstacles and opportunities. Science 369, 1060–1062 (2020). 2. de Vreese, C. & Tromble, R. The data abyss: How lack of data access leaves research and society in the dark. Political Commun. 40, 356–360 (2023). 3. Newport, F. & Dugan, A. Partisan differences growing on a number of issues. Gallup https://news.gallup.com/opinion/polling-matters/215210/partisan-differences-growing-number-issues.aspx (2017). 4. Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N. & Westwood, S. J. The origins and consequences of affective polarization in the United States. Annu. Rev. Political Sci. 22, 129–146 (2019). 5. Finkel, E. J. et al. Political sectarianism in America. Science 370, 533–536 (2020).
Cited by
57 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|