Computational linguistics against hate: Hate speech detection and visualization on social media in the "Contro L’Odio" project

A. T. E. Capozzi, MIRKO LAI, V. Basile, F. Poletto, M. Sanguinetti, C. Bosco, V. Patti, Giancarlo Francesco RUFFO, C. Musto, M. Polignano, G. Semeraro, M. Stranisci

Research output: Contribution to conferencePaperpeer-review

Abstract

The paper describes the Web platform built within the project “Contro l’odio”, for monitoring and contrasting discrimination and hate speech against immigrants in Italy. It applies a combination of computational linguistics techniques for hate speech detection and data visualization tools on data drawn from Twitter. It allows users to access a huge amount of information through interactive maps, also tuning their view, e.g., visualizing the most viral tweets and interactively reducing the inherent complexity of data. Educational courses for high school students and citizenship has been developed which are centered on the platform and focused on the deconstruction of negative stereotypes against immigrants, Roma, and religious minorities, and on the creation of positive narratives.
Original languageEnglish
Pages1-6
Number of pages6
Publication statusPublished - 2019
Event6th Italian Conference on Computational Linguistics, CLiC-it 2019 - Bari
Duration: 1 Jan 2019 → …

Conference

Conference6th Italian Conference on Computational Linguistics, CLiC-it 2019
CityBari
Period1/01/19 → …

Keywords

  • Twitter
  • counternarratives
  • data visualization
  • hate speech detection
  • social media
  • stereotypes against immigrants

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