Can crowdsourcing rescue the social marketplace of ideas?
Not on the map. Why?
Abstract (arXiv)
Facebook and Twitter recently announced community-based review platforms to address misinformation. We provide an overview of the potential affordances of such community-based approaches to content moderation based on past research and preliminary analysis of Twitter's Birdwatch data. While our analysis generally supports a community-based approach to content moderation, it also warns against potential pitfalls, particularly when the implementation of the new infrastructure focuses on crowd-based "validation" rather than "collaboration." We call for multidisciplinary research utilizing methods from complex systems studies, behavioural sociology, and computational social science to advance the research on crowd-based content moderation.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Apr 2021.
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Citing papers per year: 2024: 1; 2025: 1.
2 papers.
- 2024AI-enhanced Collective Intelligencecited by 10
- 2025Community Moderation and the New Epistemology of Fact Checking on Social Mediacited by 4
- 2025Community Moderation and the New Epistemology of Fact Checking on Social Media26 May 2025
- 2024AI-enhanced Collective Intelligence15 Mar 2024