Dynamics of online hate and misinformation

Online debates are often characterised by extreme polarisation and heated discussions among users. The presence of hate speech online is becoming increasingly problematic, making necessary the development of appropriate countermeasures. In this work, we perform hate speech detection on a corpus of m...

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Veröffentlicht in:	Scientific reports Jg. 11; H. 1; S. 22083 - 12
Hauptverfasser:	Cinelli, Matteo, Pelicon, Andraž, Mozetič, Igor, Quattrociocchi, Walter, Novak, Petra Kralj, Zollo, Fabiana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 11.11.2021 Nature Publishing Group Nature Portfolio
Schlagworte:	639/705/117 639/705/258 Hate speech Humanities and Social Sciences Language Learning algorithms Machine learning multidisciplinary Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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