Time to #Protest: Selective Exposure, Cascading Activation, and Framing in Social Media

2018/04/16 by Natalia Aruguete, Natália Aruguete, Ernesto Calvo · 111 citations
Computer Science · Physics and Astronomy · Psychology · Social Sciences · #Cognition #Cognitive dissonance #Computer science #Content (measure theory) #Content analysis #Frame analysis #Framing (construction) #Hate Speech and Cyberbullying Detection #Interpretation (philosophy) #Media content #Media studies #Multimedia #Opinion Dynamics and Social Influence #Political science #Politics #Psychology #Public relations #Social Media and Politics #Social media #Social psychology #Social science #Sociology #World Wide Web

paper · pdf · doi:10.1093/joc/jqy007

published in Journal of Communication 68(3), 480-502 (Oxford University Press)

openalex publication_date 2018/04/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25

Abstract

In social media, sharing posts exposes a larger number of users to the preferred content of their peers. As users select or discard content, they collectively highlight facets of events or issues as to promote a particular interpretation. This article describes how social media users frame political events by selectively sharing content that is cognitively congruent with their beliefs. We model cognitive dissonance modeling time-to-retweet and exemplify the proposed theory with a study of recent protest events in Argentina.

Citations

• The Dynamics of Public Attention: Agenda-Setting Theory Meets Big Data
• A New Era of Minimal Effects? The Changing Foundations of Political Communication

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• Depolarization of echo chambers by random dynamical nudge. [europepmc]
• Winning! Election returns and engagement in social media. [europepmc]
• Understanding who talks about what: comparison between the information treatment in traditional media and online discussions. [europepmc]
• Framing fact-checks as a "confirmation" increases engagement with corrections of misinformation: a four-country study. [europepmc]
• Quitting on TikTok: Effects of Message Themes, Frames, and Sources on Engagement with Vaping Cessation Videos. [europepmc]
• Information spread behavior of clubhouse: A value-attitude-behavior model perspective. [europepmc]

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