Breaking the Silence: Investigating Which Types of Moderation Reduce Negative Effects of Sexist Social Media Content

Author:

Sasse Julia1ORCID,Grossklags Jens2ORCID

Affiliation:

1. Ansbach University of Applied Sciences, Ansbach, Germany

2. Technical University of Munich, Munich, Germany

Abstract

Sexist content is widespread on social media and can reduce women's psychological well-being and their willingness to participate in online discourse, making it a societal issue. To counter these effects, social media platforms employ moderators. To date, little is known about the effectiveness of different forms of moderation in creating a safe space and their acceptance, in particular from the perspective of women as members of the targeted group and users in general (rather than perpetrators). In this research, we propose that some common forms of moderation can be systematized along two facets of visibility, namely visibility of sexist content and of counterspeech. In an online experiment (N = 839), we manipulated these two facets and tested how they shaped social norms, feelings of safety, and intent to participate, as well as fairness, trustworthiness, and efficacy evaluations. In line with our predictions, deletion of sexist content - i.e., its invisibility - and (public) counterspeech - i.e., its visibility - against visible sexist content contributed to creating a safe space. Looking at the underlying psychological mechanism, we found that these effects were largely driven by changes in what was perceived normative in the presented context. Interestingly, deletion of sexist content was judged as less fair than counterspeech against visible sexist content. Our research contributes to a growing body of literature that highlights the importance of norms in creating safer online environments and provides practical implications for moderators for selecting actions that can be effective and accepted.

Funder

TUM Institute for Ethics in Artificial Intelligence

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference56 articles.

1. Amnesty Global Insights . 2017 . Unsocial Media: The Real Toll of Online Abuse Against Women. https://medium.com/amnesty-insights/unsocial-media-the-real-toll-of-online-abuse-against-women-37134ddab3f4 Retrieved on March 30, 2021. Amnesty Global Insights. 2017. Unsocial Media: The Real Toll of Online Abuse Against Women. https://medium.com/amnesty-insights/unsocial-media-the-real-toll-of-online-abuse-against-women-37134ddab3f4 Retrieved on March 30, 2021.

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1. Counterspeakers’ Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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