Litcius/Paper detail

Profiling Hate Speech Spreaders on Twitter Task at PAN 2021.

Francisco Rangel, Gretel Liz De la Peña Sarracén, Berta Chulvi, Elisabetta Fersini, Paolo Rosso

2021RiuNet (Politechnical University of Valencia)20 citationsOpen Access PDF

Abstract

[EN] 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.

Topics & Concepts

Profiling (computer programming)Computer scienceSocial mediaNatural language processingWorld Wide WebOperating systemHate Speech and Cyberbullying DetectionSpam and Phishing DetectionSocial Media and Politics