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Data set for automatic detection of online misogynistic speech

  • Theo Lynn
  • , Patricia Takako Endo
  • , Pierangelo Rosati
  • , Ivanovitch Silva
  • , Guto Leoni Santos
  • , Debbie Ging
  • Dublin City University

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

14 Citations (Scopus)

Abstract

The data set is composed of 2285 definitions posted on the Urban Dictionary platform from 1999 to May 2016. The data was classified as misogynistic and non-misogynistic by three independent researchers with domain knowledge. The data set is available in public repository in a table containing two columns: the text-based definition from Urban Dictionary and its respective classification (1 for misogynistic and 0 for non-misogynistic).

Original languageEnglish
Article number104223
JournalData in Brief
Volume26
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 5 - Gender Equality
    SDG 5 Gender Equality

Keywords

  • Hate speech
  • Misogynistic speech
  • Misogyny detection
  • Online speech
  • Urban dictionary

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