Article | Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland | Joint Rumour Stance and Veracity Prediction Linköping University Electronic Press Conference Proceedings
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Title:
Joint Rumour Stance and Veracity Prediction
Author:
Anders Edelbo Lillie: ITU Copenhagen, Denmark Emil Refsgaard Middelboe: ITU Copenhagen, Denmark Leon Derczynski: ITU Copenhagen, Denmark
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Full text (pdf)
Year:
2019
Conference:
Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland
Issue:
167
Article no.:
022
Pages:
208--221
No. of pages:
13
Publication type:
Abstract and Fulltext
Published:
2019-10-02
ISBN:
978-91-7929-995-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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The net is rife with rumours that spread through microblogs and social media. Not all the claims in these can be verified. However, recent work has shown that the stances alone that commenters take toward claims can be sufficiently good indicators of claim veracity, using e.g. an HMM that takes conversational stance sequences as the only input. Existing results are monolingual (English) and mono-platform (Twitter). This paper introduces a stance-annotated Reddit dataset for the Danish language, and describes various implementations of stance classification models. Of these, a Linear SVM provides predicts stance best, with 0.76 accuracy / 0.42 macro F1. Stance labels are then used to predict veracity across platforms and also across languages, training on conversations held in one language and using the model on conversations held in another. In our experiments, monolinugal scores reach stance-based veracity accuracy of 0.83 (F1 0.68); applying the model across languages predicts veracity of claims with an accuracy of 0.82 (F1 0.67). This demonstrates the surprising and powerful viability of transferring stance-based veracity prediction across languages.

Keywords: veracity stance prediction rumours fake news social media Danish

Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Anders Edelbo Lillie, Emil Refsgaard Middelboe, Leon Derczynski
Title:
Joint Rumour Stance and Veracity Prediction
References:
No references available

Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Anders Edelbo Lillie, Emil Refsgaard Middelboe, Leon Derczynski
Title:
Joint Rumour Stance and Veracity Prediction
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Last updated: 2019-11-06