SHAREDCON: Implicit Hate Speech Detection using Shared Semantics

Hyeseon Ahn, Youngwook Kim, Jungin Kim, Yo Sub Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ever-growing presence of hate speech on social network services and other online platforms not only fuels online harassment but also presents a growing challenge for hate speech detection. As this task is akin to binary classification, one of the promising approaches for hate speech detection is the utilization of contrastive learning. Recent studies suggest that classifying hateful posts in just a binary manner may not adequately address the nuanced task of detecting implicit hate speech. This challenge is largely due to the subtle nature and context dependency of such pejorative remarks. Previous studies proposed a modified contrastive learning approach equipped with additional aids such as human-written implications or machine-generated augmented data for better implicit hate speech detection. While this approach can potentially enhance the overall performance by its additional data in general, it runs the risk of overfitting as well as heightened cost and time to obtain. These drawbacks serve as motivation for us to design a methodology that is not dependent on human-written or machine-generated augmented data for training. We propose a straightforward, yet effective, clustering-based contrastive learning approach that leverages the shared semantics among the data.

Original languageEnglish
Title of host publication62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference
EditorsLun-Wei Ku, Andre Martins, Vivek Srikumar
PublisherAssociation for Computational Linguistics (ACL)
Pages10444-10455
Number of pages12
ISBN (Electronic)9798891760998
Publication statusPublished - 2024
EventFindings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Hybrid, Bangkok, Thailand
Duration: 2024 Aug 112024 Aug 16

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

ConferenceFindings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024
Country/TerritoryThailand
CityHybrid, Bangkok
Period24/8/1124/8/16

Bibliographical note

Publisher Copyright:
© 2024 Association for Computational Linguistics.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

Fingerprint

Dive into the research topics of 'SHAREDCON: Implicit Hate Speech Detection using Shared Semantics'. Together they form a unique fingerprint.

Cite this