This overview presents the Author Profiling shared task at PAN 2021. The focus of this year's task is on determining whether or not the author of a Twitter feed is keen to spread hate speech. The main aim is to show the feasibility of automatically identifying potential hate speech spreaders on Twitter. For this purpose a corpus with Twitter data has been provided, covering the English and Spanish languages. Altogether, the approaches of 66 participants have been evaluated.

Rangel, F., de la Pena Sarracen, G., Chulvi, B., Fersini, E., Rosso, P. (2021). Profiling Hate Speech Spreaders on Twitter task at PAN 2021. In 2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021 (pp.1772-1789). CEUR-WS.

Profiling Hate Speech Spreaders on Twitter task at PAN 2021

Fersini E.;
2021

Abstract

This overview presents the Author Profiling shared task at PAN 2021. The focus of this year's task is on determining whether or not the author of a Twitter feed is keen to spread hate speech. The main aim is to show the feasibility of automatically identifying potential hate speech spreaders on Twitter. For this purpose a corpus with Twitter data has been provided, covering the English and Spanish languages. Altogether, the approaches of 66 participants have been evaluated.
paper
Artificial intelligence; Author profiling; Hate speech; Hate speech spreaders; Natural language processing;
English
2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021 - 21 September 2021through 24 September 2021
2021
Faggioli ì, G; Ferro, N; Piroi, F
2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021
2021
2936
1772
1789
none
Rangel, F., de la Pena Sarracen, G., Chulvi, B., Fersini, E., Rosso, P. (2021). Profiling Hate Speech Spreaders on Twitter task at PAN 2021. In 2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021 (pp.1772-1789). CEUR-WS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/395781
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