Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 118, Issue 14, Pages -Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.2013464118
Keywords
media; politics; polarization; computational social science
Categories
Funding
- Volkswagen Foundation Computational Social Science Initiative [92 143]
- Princeton University Committee on Research in the Humanities and Social Sciences
- Center for International Studies at the University of Southern California
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The study found that exposure to partisan news can increase website visits and knowledge of current events, but has limited direct impact on opinions or emotions. However, this exposure can lead to a long-term decrease in trust in mainstream media.
What role do ideologically extreme media play in the polarization of society? Here we report results from a randomized longitudinal field experiment embedded in a nationally representative online panel survey (N = 1,037) in which participants were incentivized to change their browser default settings and social media following patterns, boosting the likelihood of encountering news with either a left-leaning (HuffPost) or right-leaning (Fox News) slant during the 2018 US midterm election campaign. Data on approximate to 19 million web visits by respondents indicate that resulting changes in news consumption persisted for at least 8 wk. Greater exposure to partisan news can cause immediate but short-lived increases in website visits and knowledge of recent events. After adjusting for multiple comparisons, however, we find little evidence of a direct impact on opinions or affect. Still, results from later survey waves suggest that both treatments produce a lasting and meaningful decrease in trust in the mainstream media up to 1 y later. Consistent with the minimal-effects tradition, direct consequences of online partisan media are limited, although our findings raise questions about the possibility of subtle, cumulative dynamics. The combination of experimentation and computational social science techniques illustrates a powerful approach for studying the long-term consequences of exposure to partisan news.
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