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.
Author: | Michael WiegandORCiDGND, Josef RuppenhoferGND |
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URN: | urn:nbn:de:bsz:mh39-104168 |
URL: | https://www.aclweb.org/anthology/2021.eacl-main.28 |
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 |
Language: | English |
Year of first Publication: | 2021 |
Date of Publication (online): | 2021/04/21 |
Publicationstate: | Veröffentlichungsversion |
Reviewstate: | Peer-Review |
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 |
Linguistics-Classification: | Computerlinguistik |
Program areas: | P2: Mündliche Korpora |
Licence (English): | ![]() |