Offensive language in user-generated comments in Lithuanian
Bibliographic Data
| ID | 21825972 |
|---|---|
| Authors | Giedrė Valūnaitė Oleškevičienė (0000-0001-5688-2469, Mykolas Romeris University, corresponding author), Linas Selmistraitis (0000-0002-8612-3276, Mykolas Romeris University), Andrius Utka (0000-0001-5212-4310, Vytautas Magnus University), Dangis Gudelis (0000-0002-9004-8029, Mykolas Romeris University) |
| Year | 2023 |
| Volume | 19 |
| Issue | 2 |
| Pages | 239-254 |
| Publication date | 2023-12-15 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Lodz Papers in Pragmatics (JOURNAL) |
| Journal identifiers | ISSN: 1895-6106 • E-ISSN: 1898-4436 |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/lpp-2023-0013 |
| OpenAlex | W4389626944 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
The aim of the current research is to investigate the feasibility of identifying offensive language in Lithuanian by utilising the Simplified Offensive Language Taxonomy (SOLT). The key principle behind this taxonomy is its ability to complement existing offensive language ontologies and tagset systems, with the ultimate goal of integrating it into publicly accessible Linguistic Linked Open Data (LLOD) resources. The dataset used in the current study is a publicly available corpus of user-generated comments collected from a Lithuanian portal (Amilevičius et al. 2016). The study identified that offensive language predominantly focuses on collective derogatory language rather than individuals. The most common category of offensive language is related to physical and mental disabilities, followed by ideological offenses, xenophobic and sexist remarks, and less frequent categories like ageism, classism, homophobia, and religious discrimination. These results highlight the diverse range of offensive language online and underscore the need to combat discrimination and promote respectful discourse, particularly concerning marginalised groups
Ideology · Linguistics · Lithuanian · Offensive · Operations research · Political science · Politics · Computer Science · Engineering · Freedom of Expression and Defamation · Hate Speech and Cyberbullying Detection · Law · Psychology · Swearing, Euphemism, Multilingualism
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |