PERSONA: Personality-based deep learning for detecting hate speech

Kyuhan Lee, Sudha Ram

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

Abstract

Hate speech in an online environment has detrimental impacts on the wellbeing of individuals, online communities, and social network platforms. Consequently, the automated detection of hate speech has become a significant issue for various stakeholders. While previous studies have proposed many approaches for this issue, we find an important research gap that they have neglected a plethora of studies from psychology investigating the relationship between personality and hate. To fill the gap, we adopt a text-mining approach which fully automates the process of personality inference. Based its results, we build a personality-based deep learning model for detecting online hate speech (i.e., PERSONA). We validated our model with two real-world cases. The results show that our model significantly outperforms state-of-the-art baselines including a method proposed by Google. Our study paves the way for future research by incorporating psychological aspects into the design of a deep-learning model for hate speech detection.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information Systems, ICIS 2020 - Making Digital Inclusive
Subtitle of host publicationBlending the Local and the Global
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632553
StatePublished - 2021
Event2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 - Virtual, Online, India
Duration: Dec 13 2020Dec 16 2020

Publication series

NameInternational Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global

Conference

Conference2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020
Country/TerritoryIndia
CityVirtual, Online
Period12/13/2012/16/20

Keywords

  • Deep learning
  • Online hate speech
  • Personality
  • Text mining

ASJC Scopus subject areas

  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences
  • Applied Mathematics

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