@inproceedings{meisenbacher-etal-2026-introducing,
title = "Introducing the Privacy-{HSD} Trade-off: Hate Speech Detection, but not at the Cost of Privacy",
author = "Meisenbacher, Stephen and
Gabuz, Vlad and
Donos, Chirill and
Dnestreanschii, Maxim and
Creanga, Gabriel and
Bodea, Andreea-Elena and
Lampert, Thomas and
Diesner, Jana",
editor = "Calabrese, Agostina and
Davidson, Thomas and
de Kock, Christine and
Khurana, Urja and
Marchiori Manerba, Marta and
Piot, Paloma and
Talat, Zeerak",
booktitle = "Proceedings of the 10th Workshop on Online Abuse and Harms ({WOAH})",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.woah-1.32/",
pages = "361--373",
ISBN = "979-8-89176-487-3",
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."
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%0 Conference Proceedings
%T Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy
%A Meisenbacher, Stephen
%A Gabuz, Vlad
%A Donos, Chirill
%A Dnestreanschii, Maxim
%A Creanga, Gabriel
%A Bodea, Andreea-Elena
%A Lampert, Thomas
%A Diesner, Jana
%Y Calabrese, Agostina
%Y Davidson, Thomas
%Y de Kock, Christine
%Y Khurana, Urja
%Y Marchiori Manerba, Marta
%Y Piot, Paloma
%Y Talat, Zeerak
%S Proceedings of the 10th Workshop on Online Abuse and Harms (WOAH)
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-487-3
%F meisenbacher-etal-2026-introducing
%X 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.
%U https://aclanthology.org/2026.woah-1.32/
%P 361-373
Markdown (Informal)
[Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy](https://aclanthology.org/2026.woah-1.32/) (Meisenbacher et al., WOAH 2026)
ACL
- Stephen Meisenbacher, Vlad Gabuz, Chirill Donos, Maxim Dnestreanschii, Gabriel Creanga, Andreea-Elena Bodea, Thomas Lampert, and Jana Diesner. 2026. Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy. In Proceedings of the 10th Workshop on Online Abuse and Harms (WOAH), pages 361–373, Budapest, Hungary. Association for Computational Linguistics.