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Exploiting emojis for abusive language detection

  • We propose to use abusive emojis, such as the “middle finger” or “face vomiting”, as a proxy for learning a lexicon of abusive words. Since it represents extralinguistic information, a single emoji can co-occur with different forms of explicitly abusive utterances. We show that our approach generates a lexicon that offers the same performance in cross-domain classification of abusive microposts as the most advanced lexicon induction method. Such an approach, in contrast, is dependent on manually annotated seed words and expensive lexical resources for bootstrapping (e.g. WordNet). We demonstrate that the same emojis can also be effectively used in languages other than English. Finally, we also show that emojis can be exploited for classifying mentions of ambiguous words, such as “fuck” and “bitch”, into generally abusive and just profane usages.

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Author:Michael WiegandORCiDGND, Josef RuppenhoferGND
Parent Title (English):Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, Pennsylvania
Editor:Paola Merlo, Jörg Tiedemann, Reut Tsarfaty
Document Type:Conference Proceeding
Year of first Publication:2021
Date of Publication (online):2021/04/21
Tag:abusive emojis; abusive language; abusive words; ambiguous words
GND Keyword:Ambiguität; Beleidigung; Beschimpfung; Computerunterstützte Kommunikation; Graphisches Symbol; Kontrastive Linguistik; Lexikon; Smiley; Social Media; fuck
First Page:369
Last Page:380
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Program areas:P2: Mündliche Korpora
Licence (English):License LogoCreative Commons - Attribution 4.0 International