Countering Hate Speech: Modeling User-Generated Web Content Using Natural Language Processing
Description:
Social media is considered a particularly conducive arena for hate speech. Counter speech, which is a "direct response that counters hate speech" is a remedy to address hate speech. Unlike content moderation, counter speech does not interfere with the principle of free and open public spaces for debate. This dissertation focuses on the (a) automatic detection and (b) analyses of the effectiveness of counter speech and its fine-grained strategies in user-generated web content. The first goal is …
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Date:
July 2023
Creator:
Yu, Xinchen
Partner:
UNT Libraries