Exploiting emojis for abusive language detection

Konferenzbeitrag

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.

Angaben zum Objekt

• Sprache: Englisch

Klassifikation und Themen

• Thema: Smiley ; Beleidigung ; Beschimpfung ; Lexikon ; Kontrastive Linguistik ; Ambiguität ; fuck ; Social Media ; Computerunterstützte Kommunikation ; Graphisches Symbol ; Sprache

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Wiegand, Michael ; Ruppenhofer, Josef
• Ereignis: Veröffentlichung
• (wer): Stroudsburg, Pennsylvania : Association for Computational Linguistics
• (wann): 2021-04-21

Weitere Informationen

• URN: urn:nbn:de:bsz:mh39-104168
• Letzte Aktualisierung: 06.03.2025, 09:00 MEZ