mlsanityData to 7 Oct 2026

Can crowdsourcing rescue the social marketplace of ideas?

arXiv 2104.13754 ↗First posted 28 Apr 2021cs.SI cs.CY physics.soc-phcited by 2

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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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