Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content Moderation

Content moderation is commonly used by social media platforms to curb the spread of hateful content. Yet, little is known about how users perceive this practice and which factors may influence their perceptions. Publicly denouncing content moderation—for example, portraying it as a limitation to fre...

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Main Authors: Ina Weber, João Gonçalves, Gina M. Masullo, Marisa Torres da Silva, Joep Hofhuis
Format: Article
Language:English
Published: SAGE Publishing 2024-11-01
Series:Social Media + Society
Online Access:https://doi.org/10.1177/20563051241286702
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author Ina Weber
João Gonçalves
Gina M. Masullo
Marisa Torres da Silva
Joep Hofhuis
author_facet Ina Weber
João Gonçalves
Gina M. Masullo
Marisa Torres da Silva
Joep Hofhuis
author_sort Ina Weber
collection DOAJ
description Content moderation is commonly used by social media platforms to curb the spread of hateful content. Yet, little is known about how users perceive this practice and which factors may influence their perceptions. Publicly denouncing content moderation—for example, portraying it as a limitation to free speech or as a form of political targeting—may play an important role in this context. Evaluations of moderation may also depend on interpersonal mechanisms triggered by perceived user characteristics. In this study, we disentangle these different factors by examining how the gender, perceived similarity, and social influence of a user publicly complaining about a content-removal decision influence evaluations of moderation. In an experiment ( n  = 1,586) conducted in the United States, the Netherlands, and Portugal, participants witnessed the moderation of a hateful post, followed by a publicly posted complaint about moderation by the affected user. Evaluations of the fairness, legitimacy, and bias of the moderation decision were measured, as well as perceived similarity and social influence as mediators. The results indicate that arguments about freedom of speech significantly lower the perceived fairness of content moderation. Factors such as social influence of the moderated user impacted outcomes differently depending on the moderated user’s gender. We discuss implications of these findings for content-moderation practices.
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spelling doaj-art-746dbdae3dd443c2a4478d20b59c99212025-08-20T02:07:56ZengSAGE PublishingSocial Media + Society2056-30512024-11-011010.1177/20563051241286702Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content ModerationIna Weber0João Gonçalves1Gina M. Masullo2Marisa Torres da Silva3Joep Hofhuis4Erasmus University Rotterdam, The NetherlandsErasmus University Rotterdam, The NetherlandsThe University of Texas at Austin, USAUniversidade Nova de Lisboa, PortugalAmsterdam University of Applied Sciences, The NetherlandsContent moderation is commonly used by social media platforms to curb the spread of hateful content. Yet, little is known about how users perceive this practice and which factors may influence their perceptions. Publicly denouncing content moderation—for example, portraying it as a limitation to free speech or as a form of political targeting—may play an important role in this context. Evaluations of moderation may also depend on interpersonal mechanisms triggered by perceived user characteristics. In this study, we disentangle these different factors by examining how the gender, perceived similarity, and social influence of a user publicly complaining about a content-removal decision influence evaluations of moderation. In an experiment ( n  = 1,586) conducted in the United States, the Netherlands, and Portugal, participants witnessed the moderation of a hateful post, followed by a publicly posted complaint about moderation by the affected user. Evaluations of the fairness, legitimacy, and bias of the moderation decision were measured, as well as perceived similarity and social influence as mediators. The results indicate that arguments about freedom of speech significantly lower the perceived fairness of content moderation. Factors such as social influence of the moderated user impacted outcomes differently depending on the moderated user’s gender. We discuss implications of these findings for content-moderation practices.https://doi.org/10.1177/20563051241286702
spellingShingle Ina Weber
João Gonçalves
Gina M. Masullo
Marisa Torres da Silva
Joep Hofhuis
Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content Moderation
Social Media + Society
title Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content Moderation
title_full Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content Moderation
title_fullStr Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content Moderation
title_full_unstemmed Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content Moderation
title_short Who Can Say What? Testing the Impact of Interpersonal Mechanisms and Gender on Fairness Evaluations of Content Moderation
title_sort who can say what testing the impact of interpersonal mechanisms and gender on fairness evaluations of content moderation
url https://doi.org/10.1177/20563051241286702
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