Effects of the news finds me perception on algorithmic news attitudes and social media political homophily

Homero Gil De Zúñiga, Zicheng Cheng, Pablo González-González

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Prior literature on political filter bubbles suggests an overall positive association between social media use and political networks diversification. Sometimes, this might not be the case. This study argues that the News Finds Me perception (NFM) or the belief that "one"can be well-informed about public affairs without actively seeking information as news will find "me"through "my"networks, tend to nurture a positive attitude toward algorithmic news gatekeeping. Likewise, NFM's news over-reliance on one's social network support the development of homogeneous information and discussion political networks in social media (political homophily). Results based on a variety of ordinary least squares regression models (cross-sectional, lagged, and autoregressive) from a U.S. representative panel survey, as we all as autoregressive structural equation model tests, indicate that this is indeed the case. This study serves to specifically clarify when and how social media and the NFM facilitate politically homogeneous filter bubbles.

Original languageEnglish (US)
Pages (from-to)578-591
Number of pages14
JournalJournal of Communication
Issue number5
StatePublished - Oct 1 2022

All Science Journal Classification (ASJC) codes

  • Communication
  • Language and Linguistics
  • Linguistics and Language

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