Paper Number
1205
Abstract
Online hate speech constitutes a universal IS phenomenon. While past research has started to define, conceptualize, and delineate hate speech, it has barely attempted to propose how IT – in the form of AI applications – can help tackle hate speech on social media platforms. Here, this research-in-progress paper aims to contribute. To this end, we first integrate definitions and concepts to build a detailed understanding of hate speech. Second, we elaborate on the regulatory context and its geographical boundaries for the development of AI systems that tackle hate speech. Third, in a yet to be completed phase of the project, we build and evaluate an AI system to help tackling hate speech in a predefined setting. We close with a summary of the project, its limitations, and expected contribution.
Recommended Citation
Loebbecke, Claudia; Luong, Anh Chi; and Obeng-Antwi, Astrid, "AI FOR TACKLING HATE SPEECH" (2021). ECIS 2021 Research-in-Progress Papers. 10.
https://aisel.aisnet.org/ecis2021_rip/10
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