@inproceedings{vargas-etal-2022-rhetorical,
title = "Rhetorical Structure Approach for Online Deception Detection: A Survey",
author = "Vargas, Francielle and
D{`}Alessandro, Jonas and
Rabinovich, Zohar and
Benevenuto, Fabr{\'\i}cio and
Pardo, Thiago",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.635",
pages = "5906--5915",
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.",
}
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%0 Conference Proceedings
%T Rhetorical Structure Approach for Online Deception Detection: A Survey
%A Vargas, Francielle
%A D‘Alessandro, Jonas
%A Rabinovich, Zohar
%A Benevenuto, Fabrício
%A Pardo, Thiago
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F vargas-etal-2022-rhetorical
%X 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.
%U https://aclanthology.org/2022.lrec-1.635
%P 5906-5915
Markdown (Informal)
[Rhetorical Structure Approach for Online Deception Detection: A Survey](https://aclanthology.org/2022.lrec-1.635) (Vargas et al., LREC 2022)
ACL