Abstract
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.
Acknowledgment
This study was performed as part of the tasks in the European project COST Action CA 18209 European network for Web-centred linguistic data science (Nexus Linguarum).
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Articles in the same Issue
- Frontmatter
- Editorial
- Introduction to the Special Issue: Pragmatics, digital content and opinions
- Research Articles
- Discursive news values analysis: the case of Liz Truss’ representation in the British press
- The case of romantic relationships: analysis of the use of metaphorical frames with ‘traditional family’ and related terms in political Telegram posts in three countries and three languages
- Expressing anger on Mexican X/Twitter: the case of Uber customer complaints
- Expressing negative opinions through metaphor and simile in popular music reviews
- Slur reclamation, irony, and resilience
- What is the authentic internet register before & after the Russian invasion in Ukraine? Polish and Czech YouTube comments from 2021–2023
- Application of natural language processing for the recognition of obesity-related topics in the discourses of Argentine Twitter users
- Opinion events and stance types: advances in LLM performance with ChatGPT and Gemini
- Classifying offensive language in Arabic: a novel taxonomy and dataset
- Implicit offensive language taxonomy
Articles in the same Issue
- Frontmatter
- Editorial
- Introduction to the Special Issue: Pragmatics, digital content and opinions
- Research Articles
- Discursive news values analysis: the case of Liz Truss’ representation in the British press
- The case of romantic relationships: analysis of the use of metaphorical frames with ‘traditional family’ and related terms in political Telegram posts in three countries and three languages
- Expressing anger on Mexican X/Twitter: the case of Uber customer complaints
- Expressing negative opinions through metaphor and simile in popular music reviews
- Slur reclamation, irony, and resilience
- What is the authentic internet register before & after the Russian invasion in Ukraine? Polish and Czech YouTube comments from 2021–2023
- Application of natural language processing for the recognition of obesity-related topics in the discourses of Argentine Twitter users
- Opinion events and stance types: advances in LLM performance with ChatGPT and Gemini
- Classifying offensive language in Arabic: a novel taxonomy and dataset
- Implicit offensive language taxonomy