"How Do You Quantify How Racist Something Is?": Color-Blind Moderation in Decentralized Governance

Volunteer moderators serve as gatekeepers for problematic content, such as racism and other forms of hate speech, on digital platforms. Prior studies have reported volunteer moderators' diverse roles in different governance models, highlighting the tensions between moderators and other stakeholders (e.g., administrative teams and users). Building upon prior research, this paper focuses on how volunteer moderators moderate racist content and how a platform's governance influences these practices. To understand how moderators deal with racist content, we conducted in-depth interviews with 13 moderators from city subreddits on Reddit. We found that moderators heavily relied on AutoMod to regulate racist content and racist user accounts. However, content that was crafted through covert racism and "color-blind'' racial frames was not addressed well. We attributed these challenges in moderating racist content to (1) moderators' concerns of power corruption, (2) arbitrary moderator team structures, and (3) evolving forms of covert racism. Our results demonstrate that decentralized governance on Reddit could not support local efforts to regulate color-blind racism. Finally, we discuss the conceptual and practical ways to disrupt color-blind moderation.

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Publication Details

Journal
UNC Libraries
Published
2025-03-29
DOI
https://doi.org/10.17615/k30n-jt91
Primary Topic
Migration, Refugees, and Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

"How Do You Quantify How Racist Something Is?": Color-Blind Moderation in Decentralized Governance

Bryan Semaan, Qunfang Wu
UNC Libraries
Migration, Refugees, and Integration
article

"How Do You Quantify How Racist Something Is?": Color-Blind Moderation in Decentralized Governance

Bryan Semaan, Qunfang Wu
article en

Abstract

Volunteer moderators serve as gatekeepers for problematic content, such as racism and other forms of hate speech, on digital platforms. Prior studies have reported volunteer moderators' diverse roles in different governance models, highlighting the tensions between moderators and other stakeholders (e.g., administrative teams and users). Building upon prior research, this paper focuses on how volunteer moderators moderate racist content and how a platform's governance influences these practices. To understand how moderators deal with racist content, we conducted in-depth interviews with 13 moderators from city subreddits on Reddit. We found that moderators heavily relied on AutoMod to regulate racist content and racist user accounts. However, content that was crafted through covert racism and "color-blind'' racial frames was not addressed well. We attributed these challenges in moderating racist content to (1) moderators' concerns of power corruption, (2) arbitrary moderator team structures, and (3) evolving forms of covert racism. Our results demonstrate that decentralized governance on Reddit could not support local efforts to regulate color-blind racism. Finally, we discuss the conceptual and practical ways to disrupt color-blind moderation.

UNC Libraries
University of North Carolina at Chapel Hill (US)
National Science Foundation, Syracuse University
Openalex Percentile: Top 61%
Migration, Refugees, and Integration
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"How Do You Quantify How Racist Something Is?": Color-Blind Moderation in Decentralized Governance — Bryan Semaan, Qunfang Wu · UNC Libraries (2025) | TGRS Research Map | TGRS