The consequences of online partisan media

Andrew M. Guess, Pablo Barberá, Simon Munzert, Jung Hwan Yang

Research output: Contribution to journalArticlepeer-review

Abstract

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 ≈ 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.

Original languageEnglish (US)
Article numbere2013464118
JournalProceedings of the National Academy of Sciences
Volume118
Issue number14
DOIs
StatePublished - Apr 6 2021

Keywords

  • Computational social science
  • Media
  • Polarization
  • Politics

ASJC Scopus subject areas

  • General

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