Academic Research
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Journal Article
Replicating the Effects of Facebook Deactivation in an Ethnically Polarized Setting
Research & Politics, 2023
The question of how social media usage impacts societal polarization continues to generate great interest among both the research community and broader public. Nevertheless, there are still very few rigorous empirical studies of the causal impact of social media usage on polarization. To explore this question, we replicate the only published study to date that tests the effects of social media cessation on interethnic attitudes (Asimovic et al., 2021). In a study situated in Bosnia and Herzegovina, the authors found that deactivating from Facebook for a week around genocide commemoration in Bosnia and Herzegovina had a negative effect on users’ attitudes toward ethnic outgroups, with the negative effect driven by users with more ethnically homogenous offline networks. Does this finding extend to other settings? In a pre-registered replication study, we implement the same research design in a different ethnically polarized setting: Cyprus. We are not able to replicate the main effect found in Asimovic et al. (2021): in Cyprus, we cannot reject the null hypothesis of no effect. We do, however, find a significant interaction between the heterogeneity of users’ offline networks and the deactivation treatment within our 2021 subsample, consistent with the pattern from Bosnia and Herzegovina. We also find support for recent findings (Allcott et al., 2020; Asimovic et al., 2021) that Facebook deactivation leads to a reduction in anxiety levels and suggestive evidence of a reduction in knowledge of current news, though the latter is again limited to our 2021 subsample.
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Journal Article
Like-Minded Sources On Facebook Are Prevalent But Not Polarizing
Nature, 2023
Many 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.
Reports & Analysis
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Analysis
Latinos Who Use Spanish-Language Social Media Get More Misinformation
That could affect their votes — and their safety from covid-19.
November 8, 2022
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Analysis
Republicans Are Increasingly Sharing Misinformation
Republican candidates have dramatically increased how much they share from unreliable sources in just two years.
August 29, 2022
News & Commentary
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Policy
Why the Texas and Florida Social Media Cases are Important for Research Transparency
Two cases before the Supreme Court will address Texas & Florida laws aiming to restrict content moderation on social media. The Court's rulings could also have widespread implications for the government's ability to mandate transparency and data access from platforms.
February 23, 2024
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Commentary
Misunderstood Mechanics: How AI, TikTok, and the Liar’s Dividend Might Affect the 2024 Elections
The widespread reach and accessibility of AI will undoubtedly change the information landscape ahead of global elections in 2024. But rather than letting overblown fears dominate public discourse, we can draw on previous research to better understand and mitigate risks.
January 22, 2024