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

Author:

Coles Stewart M1ORCID,Lane Daniel S2ORCID

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

2. University of California, Santa Barbara, USA

Abstract

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).

Publisher

SAGE Publications

Subject

Sociology and Political Science,Communication

Reference51 articles.

1. The theory of planned behavior

2. American National Election Studies (2021) ANES 2020 time series study full release (Dataset and documentation, July 19, 2021 version). Available at: http://www.electionstudies.org

3. Anderson M, Toor S, Rainie L, et al. (2018) Activism in the Social Media Age. Pew Research Center. Available at: http://www.pewinternet.org/wp-content/uploads/sites/9/2018/07/PI_2018.07.11_social-activism_FINAL.pdf

4. Setting an egalitarian social norm in the classroom: improving attitudes towards diversity among male engineering students

5. Rethinking Political Communication in a Time of Disrupted Public Spheres

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