Skip to Main Content (Press Enter)

Logo UNITO
  • ×
  • Home
  • Pubblicazioni
  • Progetti
  • Persone
  • Competenze
  • Settori
  • Strutture
  • Terza Missione

UNI-FIND
Logo UNITO

|

UNI-FIND

unito.it
  • ×
  • Home
  • Pubblicazioni
  • Progetti
  • Persone
  • Competenze
  • Settori
  • Strutture
  • Terza Missione
  1. Pubblicazioni

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

Contributo in Atti di convegno
Data di Pubblicazione:
2019
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.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
hate speech detection, social media, data visualization, counternarratives, stereotypes against immigrants, Twitter
Elenco autori:
Capozzi A.T.E.; Lai M.; Basile V.; Poletto F.; Sanguinetti M.; Bosco C.; Patti V.; Ruffo G.; Musto C.; Polignano M.; Semeraro G.; Stranisci M.
Autori di Ateneo:
BASILE Valerio
BOSCO Cristina
PATTI Viviana
STRANISCI Marco Antonio
Link alla scheda completa:
https://iris.unito.it/handle/2318/1717637
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1717637/548434/paper14.pdf
Titolo del libro:
CEUR Workshop Proceedings
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
Journal
CEUR WORKSHOP PROCEEDINGS
Series
  • Dati Generali

Dati Generali

URL

http://ceur-ws.org/Vol-2481/paper14.pdf
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 25.5.3.0