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When content moderation is not about content

How Chinese social media platforms moderate content and why it matters

Dados Bibliográficos

ID6443539
AutoresLuzhou Li (0000-0003-1096-6469, Monash University, autor correspondente), Kui Zhou (0000-0002-2514-1454, Communication University of China)
Ano2024
Volume27
Fascículo11
Páginas6139-6155
Data de publicação2024-07-26
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoNew Media & Society (JOURNAL)
Identificadores do periódicoISSN: 1461-4448 • E-ISSN: 1461-7315
EditoraSAGE Publishing (PUBLISHER • US)
DOI10.1177/14614448241263933
OpenAlexW4401034639
IdiomaEN
Citações recebidas10
Referências citadas33

Content moderation has become an essential part of the business of social media platforms, yet how it works remains largely a mystery in some important cases, particularly with regard to platforms run by Chinese companies. This research examines the latest automated moderation approaches adopted by Chinese short video platforms. Drawing on expert interviews and documentary research, we argue that Chinese platforms are moving away from a semantic approach, one that aims to grasp the meaning of content, and toward regulating the ambient element, which we define as the pervasive information that immediately surrounds content and enacts its overall character and impact. Applying a consequentialist ethics lens to investigate this turn, we argue that the ambient shift represents a more proactive approach to moderation, one intended to create a generally beneficial informational environment for platform users. This contrasts with reactive, individualistic moderation regimes grounded in the principle of informational neutrality

Bridge (graph theory · Content (measure theory · GRASP · Meaning (existential · Media content · Moderated mediation · Moderation · Multimedia · Neutrality · Political science · Social media · Sociology · World Wide Web · China's Socioeconomic Reforms and Governance · Computer Science · Hate Speech and Cyberbullying Detection · Law · Psychology · Social Media and Politics · Social Psychology

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Obras citantes distintas10
Citações por ano10
Intervalo de citações2025 - 2026 (2)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 9
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