Italian YouTube Hate Speech Corpus

  Authors

Cinelli, Matteo ; et al.show everyone

Cinelli, Matteo ; Pelicon, Andraž ; Mozetič, Igor ; Quattrociocchi, Walter ; Kralj Novak, Petra ; Zollo, Fabiana

  Item identifier

http://hdl.handle.net/11356/1450

 Project URL

http://imsypp.ijs.si/

 Referenced by

https://arxiv.org/abs/2105.14005

 Date issued

2021-10-01

 Type

corpus, text

 Language(s)

Italian

 Description

We present an Italian YouTube dataset manually annotated for hate speech types and targets. The comments to be annotated were sampled from the Italian YouTube comments on videos about the Covid-19 pandemic in the period from January 2020 to May 2020. Two sets were annotated: a training set with 59,870 comments (IMSyPP_IT_YouTube_comments_train.csv) and an evaluation set with 10,536 comments (IMSyPP_IT_YouTube_comments_evaluation.csv). The dataset was annotated by 8 annotators with each comment being annotated by two annotators. It was used to train a classification model for hate speech types detection that is publicly available at the following URL: https://huggingface.co/IMSyPP/hate_speech_it. The dataset consists of the following fields: ID_Commento - YouTube ID of the comment ID_Video - YouTube ID of the video under which the comment was posted Testo - text of the comment Tipo - type of hate speech Target - the target of hate speech Additionally, we have included the Italian YouTube data (SR_YT_comments.csv) which was collected in the same period as the training data and was annotated using the aforementioned model. The automatically labeled data was used to analyze the relationship between hate speech and misinformation on Italian YouTube. The results of this analysis are presented in the associated paper. The analyzed data are represented with the following fields: ID_Commento - YouTube ID of the comment Label - automatically assigned label by the model is_questionable - the type of channel where the comment was collected from; the channels could either be categorized as spreading reliable or questionable information.

 Publisher

Jožef Stefan Institute

 Acknowledgement

European Union’s Rights,Equality and Citizenship Programme 875263 "IMSyPP - Innovative Monitoring Systems and PreventionPolicies of Online Hate Speech"

 Subject(s)

hate speech misinformation YouTube

 Collection(s)

CLARIN.SI data & tools

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