Problem
Research questions and friction points this paper is trying to address.
Hate Speech Detection
Privacy
Trade-off
Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy
🤖 AI Summary
研究探讨了在保护隐私的同时实现仇恨言论检测的方法，通过评估文本隐私化技术及提出的新方法AgnoSpeech，证明了平衡两者是困难但可行的。
📝 Abstract
Hate speech is a real and timely threat that affects a large portion of online users, especially youth and minority groups. While building reliable and robust automatic hate speech detection (HSD) systems is paramount, we argue that this must also be balanced with the individual right to privacy. Exploring the intersection of HSD and privacy, we demonstrate that HSD systems might unintentionally achieve performance at the cost of encoding authorship, posing a threat to privacy. Building on these findings, we establish the notion of a privacy-HSD trade-off, which demands a careful balance. We benchmark a series of text privatization methods, as well as our newly proposed domain-specific AgnoSpeech technique, showing that balancing privacy and HSD is difficult but feasible. The findings make a strong case for more research on the trade-offs between privacy and HSD, both of which have tangible implications for the safeguarding of online participation.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Privacy-HSD Trade-off
AgnoSpeech
Text Privatization
🔎 Similar Papers
No similar papers found.
