A Trade-off-centered Framework of Content Moderation
Autor: | Jialun Aaron Jiang, Peipei Nie, Jed R. Brubaker, Casey Fiesler |
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Rok vydání: | 2023 |
Předmět: | |
Zdroj: | ACM Transactions on Computer-Human Interaction. 30:1-34 |
ISSN: | 1557-7325 1073-0516 |
Popis: | Content moderation research typically prioritizes representing and addressing challenges for one group of stakeholders or communities in one type of context. While taking a focused approach is reasonable or even favorable for empirical case studies, it does not address how content moderation works in multiple contexts. Through a systematic literature review of 86 content moderation papers that document empirical studies, we seek to uncover patterns and tensions within past content moderation research. We find that content moderation can be characterized as a series of trade-offs around moderation actions, styles, philosophies, and values. We discuss how facilitating cooperation and preventing abuse, two key elements in Grimmelmann's definition of moderation, are inherently dialectical in practice. We close by showing how researchers, designers, and moderators can use our framework of trade-offs in their own work, and arguing that trade-offs should be of central importance in investigating and designing content moderation. Comment: To appear in ACM TOCHI |
Databáze: | OpenAIRE |
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