Counterspeakers’ Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate

Author:

Mun Jimin1ORCID,Buerger Cathy2ORCID,Liang Jenny T3ORCID,Garland Joshua4ORCID,Sap Maarten5ORCID

Affiliation:

1. Language Technology Institute, Carnegie Mellon University, United States

2. Dangerous Speech Project, United States

3. School of Computer Science, Carnegie Mellon University, United States

4. Center on Narrative, Disinformation and Strategic Influence, Arizona State University, United States

5. Language Technologies Institute, Carnegie Mellon Unviersity, United States and Allen Institute for AI, United States

Funder

Cisco Systems

Publisher

ACM

Reference151 articles.

1. The Shadowban Cycle: an autoethnography of pole dancing, nudity and censorship on Instagram

2. Michael Baggs. 2021. Online hate speech rose 20% during pandemic: ’We’ve normalised it’. BBC (Nov. 2021).

3. Fabienne Baider. 2023. Accountability Issues, Online Covert Hate Speech, and the Efficacy of Counter‐Speech. Politics and Governance 11, 2 (2023). https://www.cogitatiopress.com/politicsandgovernance/article/view/6465

4. Susan Benesch, Derek Ruths, Kelly P Dillon, Haji Mohammad Saleem, and Lucas Wright. 2016. Considerations for successful counterspeech. Dangerous speech project (2016).

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