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Making the impossible possible? Framing confrontations of racism on social media as norm-setting

Bibliographic Data

ID6443348
AuthorsStewart M Cole (0000-0001-7281-8651, University of Illinois at Urbana-Champaign, USA, corresponding author), D S Lane (0000-0001-7404-1890, University of California, Santa Barbara)
Year2023
Volume27
Issue4
Pages2354-2372
Publication date2023-11-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNew Media & Society (JOURNAL)
Journal identifiersISSN: 1461-4448 • E-ISSN: 1461-7315
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/14614448231208707
OpenAlexW4388303802
LanguageEN
Citations received1
References cited43

Although confronting racist speech online can reduce future discriminatory behavior, people may be reluctant to confront because they perceive that it will be ineffective in changing racist attitudes. We test one theoretically grounded strategy for increasing white social media users’ willingness to confront online racism: reframing the confrontation goal from attitude change to norm-setting. We examine whether re-framing the confrontation goal in this way is effective under conditions where confrontation is least likely: (a) when the potential confronter is highly cynical about the efficacy of political discussions and (b) when the confrontation target is relationally distant. In a two-wave panel survey experiment collected during the 2020 US presidential election, participants reported greater likelihood of confronting a target when the goal was to set norms regarding racist speech, when they were less cynical of discussions, and when the target was relationally closer to them (e.g. family members as opposed to strangers

Cognitive reframing · Framing (construction · Norm (philosophy · Political science · Politics · Presidential election · Presidential system · Racism · Sociology · Electoral Systems and Political Participation · Gender Studies · Law · Psychology · Social and Intergroup Psychology · Social Media and Politics · Social Psychology

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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