@inproceedings{ferrando-etal-2024-exploring,
title = "Exploring {Y}ou{T}ube Comments Reacting to Femicide News in {I}talian",
author = "Ferrando, Chiara and
Madeddu, Marco and
Patti, Viviana and
Lai, Mirko and
Pasini, Sveva and
Telari, Giulia and
Antola, Beatrice",
editor = "Dell'Orletta, Felice and
Lenci, Alessandro and
Montemagni, Simonetta and
Sprugnoli, Rachele",
booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",
month = dec,
year = "2024",
address = "Pisa, Italy",
publisher = "CEUR Workshop Proceedings",
url = "https://aclanthology.org/2024.clicit-1.43/",
pages = "356--365",
ISBN = "979-12-210-7060-6",
abstract = "In recent years, the Gender Based Violence (GBV) has become an important issue in modern society and a central topic in different research areas due to its alarming spread. Several Natural Language Processing (NLP) studies, concerning Hate Speech directed against women, have focused on slurs or incel communities. The main contribution of our work is the creation of the first dataset on social media comments to GBV, in particular to a femicide event. Our dataset, named GBV-Maltesi, contains 2,934 YouTube comments annotated following a new schema that we developed in order to study GBV and misogyny with an intersectional approach. During the experimental phase, we trained models on different corpora for binary misogyny detection and found that datasets that mostly include explicit expressions of misogyny are an easier challenge, compared to more implicit forms of misogyny contained in GVB-Maltesi."
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%0 Conference Proceedings
%T Exploring YouTube Comments Reacting to Femicide News in Italian
%A Ferrando, Chiara
%A Madeddu, Marco
%A Patti, Viviana
%A Lai, Mirko
%A Pasini, Sveva
%A Telari, Giulia
%A Antola, Beatrice
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F ferrando-etal-2024-exploring
%X In recent years, the Gender Based Violence (GBV) has become an important issue in modern society and a central topic in different research areas due to its alarming spread. Several Natural Language Processing (NLP) studies, concerning Hate Speech directed against women, have focused on slurs or incel communities. The main contribution of our work is the creation of the first dataset on social media comments to GBV, in particular to a femicide event. Our dataset, named GBV-Maltesi, contains 2,934 YouTube comments annotated following a new schema that we developed in order to study GBV and misogyny with an intersectional approach. During the experimental phase, we trained models on different corpora for binary misogyny detection and found that datasets that mostly include explicit expressions of misogyny are an easier challenge, compared to more implicit forms of misogyny contained in GVB-Maltesi.
%U https://aclanthology.org/2024.clicit-1.43/
%P 356-365
Markdown (Informal)
[Exploring YouTube Comments Reacting to Femicide News in Italian](https://aclanthology.org/2024.clicit-1.43/) (Ferrando et al., CLiC-it 2024)
ACL
- Chiara Ferrando, Marco Madeddu, Viviana Patti, Mirko Lai, Sveva Pasini, Giulia Telari, and Beatrice Antola. 2024. Exploring YouTube Comments Reacting to Femicide News in Italian. In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pages 356–365, Pisa, Italy. CEUR Workshop Proceedings.