Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze

Alaçam Ö, Hoeken S, Zarrieß S (2024)
In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Al-Onaizan Y, Bansal M, Chen Y-N (Eds); Miami, Florida, USA: Association for Computational Linguistics: 187-205.

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Herausgeber*in
Al-Onaizan, Yaser; Bansal, Mohit; Chen, Yun-Nung
Abstract / Bemerkung
Hate speech is a complex and subjective phenomenon. In this paper, we present a dataset (GAZE4HATE) that provides gaze data collected in a hate speech annotation experiment. We study whether the gaze of an annotator provides predictors of their subjective hatefulness rating, and how gaze features can improve Hate Speech Detection (HSD). We conduct experiments on statistical modeling of subjective hate ratings and gaze and analyze to what extent rationales derived from hate speech models correspond to human gaze and explanations in our data. Finally, we introduce MEANION, a first gaze-integrated HSD model. Our experiments show that particular gaze features like dwell time or fixation counts systematically correlate with annotators' subjective hate ratings and improve predictions of text-only hate speech models.
Erscheinungsjahr
2024
Titel des Konferenzbandes
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Seite(n)
187-205
Konferenz
Conference on Empirical Methods in Natural Language Processing
Konferenzort
Miami, USA
Page URI
https://pub.uni-bielefeld.de/record/3001934

Zitieren

Alaçam Ö, Hoeken S, Zarrieß S. Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze. In: Al-Onaizan Y, Bansal M, Chen Y-N, eds. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Miami, Florida, USA: Association for Computational Linguistics; 2024: 187-205.
Alaçam, Ö., Hoeken, S., & Zarrieß, S. (2024). Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze. In Y. Al-Onaizan, M. Bansal, & Y. - N. Chen (Eds.), Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 187-205). Miami, Florida, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.11
Alaçam, Özge, Hoeken, Sanne, and Zarrieß, Sina. 2024. “Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze”. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, ed. Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen, 187-205. Miami, Florida, USA: Association for Computational Linguistics.
Alaçam, Ö., Hoeken, S., and Zarrieß, S. (2024). “Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze” in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Al-Onaizan, Y., Bansal, M., and Chen, Y. - N. eds. (Miami, Florida, USA: Association for Computational Linguistics), 187-205.
Alaçam, Ö., Hoeken, S., & Zarrieß, S., 2024. Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze. In Y. Al-Onaizan, M. Bansal, & Y. - N. Chen, eds. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Miami, Florida, USA: Association for Computational Linguistics, pp. 187-205.
Ö. Alaçam, S. Hoeken, and S. Zarrieß, “Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze”, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Y. Al-Onaizan, M. Bansal, and Y.-N. Chen, eds., Miami, Florida, USA: Association for Computational Linguistics, 2024, pp.187-205.
Alaçam, Ö., Hoeken, S., Zarrieß, S.: Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze. In: Al-Onaizan, Y., Bansal, M., and Chen, Y.-N. (eds.) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. p. 187-205. Association for Computational Linguistics, Miami, Florida, USA (2024).
Alaçam, Özge, Hoeken, Sanne, and Zarrieß, Sina. “Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze”. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Ed. Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen. Miami, Florida, USA: Association for Computational Linguistics, 2024. 187-205.

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