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

Arthur T.E. Capozzi, Mirko Lai, Valerio Basile, Fabio Poletto, Manuela Sanguinetti, Cristina Bosco, Viviana Patti, Giancarlo Ruffo, Cataldo Musto, Marco Polignano, Giovanni Semeraro, Marco Stranisci

Risultato della ricerca: Contributo su rivistaArticolo da conferenzapeer 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.

Lingua originaleInglese
RivistaCEUR Workshop Proceedings
Volume2481
Stato di pubblicazionePubblicato - 2019
Pubblicato esternamente
Evento6th Italian Conference on Computational Linguistics, CLiC-it 2019 - Bari, Italy
Durata: 13 nov 201915 nov 2019

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