Use this url to cite publication: https://cris.mruni.eu/cris/handle/007/50689
Implicit offensive language taxonomy
Type of publication
Straipsnis Scopus duomenų bazėje / Article in Scopus database (S1b)
Author(s)
| Author | Affiliation | |
|---|---|---|
Bączkowska, Anna | University of Gdańsk | PL |
Lewandowska-Tomaszczyk, Barbara | State University of Applied Sciences in Konin | PL |
Žitnik, Slavko | University of Ljubljana | SI |
Liebeskind, Chaya | Jerusalem College of Technology | IL |
Trojszczak, Marcin | State University of Applied Sciences in Konin | PL |
Title [en]
Implicit offensive language taxonomy
Publisher
[S.l.] : De Gruyter
Publisher (trusted)
Date Issued
| Date | Volume | Issue |
|---|---|---|
2025 | 2024/ 20 | 2 |
Extent
p. 463-483
Is part of
Lodz Papers in Pragmatics.
Research Area
Humanitariniai mokslai / The humanities (H)
Field of Science
Filologija / Philology (H004)
Edukologija / Education (S007)
Abstract (en)
The aim of this paper is to present a proposal of implicitness typology. The theoretical model we propose is compliant with neo-Gricean pragmatics and is explicitly designed to cover instances of offensive language on social media. The implicitness framework we propound has been empirically verified by means of a corpus-assisted analysis and computational method of word embeddings (Word2Vec and FastText), which, in principle, have supported the schema explicated here. This taxonomy is potentially applicable to the ontology of offensiveness and, thus, to NLP-based research; in particular, it can be useful for automatic detection of implicit offensive language on social media.
Is Referenced by
Media Type (COAR)
TextPeriodicalJournalContribution to journalJournal articleResearch article
ISSN (of the container)
1895-6106
1898-4436
eLABa
271861748
Coverage Spatial
Vokietija / Germany (DE)
Language
Anglų / English (en)
Bibliographic Details
51
Date Reporting
2025
| Journal | Cite Score | SNIP | SJR | Year | Quartile |
|---|---|---|---|---|---|
Lodz Papers in Pragmatics | 0.9 | 0.702 | 0.281 | 2024 | Q2 |