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Rhetorical Structure Approach for Online Deception Detection: A Survey

Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022)

DOI:10.63317/3o29j39w7jcz

Abstract

Most information is passed on in the form of language. Therefore, research on how people use language to inform and misinform, and how this knowledge may be automatically extracted from large amounts of text is surely relevant. This survey provides first-hand experiences and a comprehensive review of rhetorical-level structure analysis for online deception detection. We systematically analyze how discourse structure, aligned or not with other approaches, is applied to automatic fake news and fake reviews detection on the web and social media. Moreover, we categorize discourse-tagged corpora along with results, hence offering a summary and accessible introductions to new researchers.

Details

Paper ID
lrec2022-main-635
Pages
pp. 5906-5915
BibKey
vargas-etal-2022-rhetorical
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-38-2
Conference
Thirteenth Language Resources and Evaluation Conference
Location
Marseille, France
Date
20 June 2022 25 June 2022

Authors

  • FV

    Francielle Vargas

  • JD

    Jonas D‘Alessandro

  • ZR

    Zohar Rabinovich

  • FB

    Fabrício Benevenuto

  • TP

    Thiago Pardo

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