Should Democracies Ban Hate Speech? Hate Speech Laws and Counterspeech

Kulenović, Enes

doi:10.1007/s10677-022-10336-2

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…Hate speech is a commonly seen problem in online communication, especially on social media platforms [36,94]. Definition of hate speech varies across countries, institutions, and communities, which leads to disagreement over appropriate responses [79]. In the most extreme cases, hate speech is defined as a weaponized speech that causes direct harms to individuals such as inciting violence or hostility [79]; however, speech that causes indirect harms including devaluation of community norms such as inclusivity can also be considered hate speech [79,99].…”

Section: Hate Speech Responsesmentioning

confidence: 99%

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

Mun,

Buerger,

Liang

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Counterspeech, i.e., direct responses against hate speech, has become an important tool to address the increasing amount of hate online while avoiding censorship. Although AI has been proposed to help scale up counterspeech efforts, this raises questions of how exactly AI could assist in this process, since counterspeech is a deeply empathetic and agentic process for those involved. In this work, we aim to answer this question, by conducting in-depth interviews with 10 extensively experienced counterspeakers and a large scale public survey with 342 everyday social media users. In participant responses, we identified four main types of barriers and AI needs related to resources, training, impact, and personal harms. However, our results also revealed overarching concerns of authenticity, agency, and functionality in using AI tools for counterspeech. To conclude, we discuss considerations for designing AI assistants that lower counterspeaking barriers without jeopardizing its meaning and purpose. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI.

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