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 combi-nation 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 have been developed which are centered on the platform and focused on the deconstruction of negative stereotypes against immigrants, Rom and religious minorities, and on the creation of positive narratives. The data collected and analyzed by the platform are also currently used for benchmarking activities within an evaluation campaign, and for paving the way to new projects against hate.
| Original language | English |
|---|---|
| Pages (from-to) | 77-97 |
| Number of pages | 21 |
| Journal | Italian Journal of Computational Linguistics |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jun 2020 |
| Externally published | Yes |
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