Hate speech annotation: Analysis of an Italian twitter corpus

Sanguinetti Manuela;
2017-01-01

Abstract

The paper describes the development of a corpus from social media built with the aim of representing and analysing hate speech against some minority groups in Italy. The issues related to data collection and annotation are introduced, focusing on the challenges we addressed in designing a multifaceted set of labels where the main features of verbal hate expressions may be modelled. Moreover, an analysis of the disagreement among the annotators is presented in order to carry out a preliminary evaluation of the data set and the scheme.
2017
Inglese
CEUR Workshop Proceedings
9788899982942
CEUR-WS
2006
263
268
6
4th Italian Conference on Computational Linguistics, CLiC-it 2017
Comitato scientifico
2017
Roma (Ita)
nazionale
scientifica
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Poletto, Fabio; Stranisci, Marco; Sanguinetti, Manuela; Patti, Viviana; Bosco, Cristina
273
5
4.1 Contributo in Atti di convegno
open
info:eu-repo/semantics/conferencePaper
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