HaSpeeDe

The Hate Speech Detection task at EVALITA 2018 consists in automatically annotating messages from Twitter and Facebook. The dataset proposed for the task is the result of a joint effort of two research groups on harmonizing the annotation previously applied to two different datasets: the first one is a collection of Facebook comments developed by the group from Italian Hate Speech Corpus.
The annotation scheme has thus been simplified, and it only includes a binary value indicating whether hateful contents towards are present or not in a given tweet or Facebook comment.
The task organizers created such harmonized scheme also in view of a cross-domain evaluation, with one dataset used for training and the other one for testing the system. It is worth pointing out, however, that despite their joint use in the task, the resources are still maintained separately; the Turin group is therefore responsible for the Twitter dataset only.

Authors:

• Cristina Bosco
• Felice dell'Orletta
• Fabio Poletto
• Manuela Sanguinetti
• Maurizio Tesconi

Publications:

• Fabio Del Vigna, Andrea Cimino, Felice Dell’Orletta, Marinella Petrocchi, Maurizio Tesconi
  Hate me, hate me not: Hate speech detection on Facebook
  Proceedings of the First Italian Conference on Cybersecurity (ITASEC17)