All datasets / MARIANNE-INRIA
MARIANNE-INRIA/pragmaticsAggressionRedditConversations
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Citation text from the card
@inproceedings{fu-etal-2026-contextualizing,
title = {Contextualizing Toxicity: An Annotation Framework for Unveiling Pragmatics in Conversations of Online Discussion Forums},
author = {Fu, Yingxue and Ollagnier, Anais},
booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
month = {May},
year = {2026},
pages = {3961--3974},
address = {Palma, Mallorca, Spain},
publisher = {European Language Resources Association (ELRA)},
editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
doi = {10.63317/2iicz26v9ckq},
abstract = {The role of context has attracted increasing attention in research on toxicity detection. Interpreting toxic language remains a complex and multifaceted challenge, shaped by numerous linguistic, contextual, and social factors. However, current approaches often define "context" narrowly, focusing primarily on surface lexical cues such as hate lexicons, profanity markers, or sentiment polarity. These features, while useful, are insufficient to capture the interactional dynamics, user behaviors, and intentionality that shape such phenomena. To address this gap, this paper introduces a novel and systematic annotation framework, grounded in Speech Act Theory (Austin, 1962), aimed at deciphering the illocutionary and perlocutionary dimensions of conversation, which are unexplored in existing studies. We apply this framework to a new dat
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dataset_licence({ "id": "MARIANNE-INRIA/pragmaticsAggressionRedditConversations" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0