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VERA-ARAB: unveiling the Arabic tweets credibility by constructing balanced news dataset for veracit...

VERA-ARAB: unveiling the Arabic tweets credibility by constructing balanced news dataset for veracit...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e9d4d1d39d8242e2b9f985df11e19d59

VERA-ARAB: unveiling the Arabic tweets credibility by constructing balanced news dataset for veracity analysis

About this item

Full title

VERA-ARAB: unveiling the Arabic tweets credibility by constructing balanced news dataset for veracity analysis

Publisher

United States: PeerJ. Ltd

Journal title

PeerJ. Computer science, 2024-10, Vol.10, p.e2432, Article e2432

Language

English

Formats

Publication information

Publisher

United States: PeerJ. Ltd

More information

Scope and Contents

Contents

The proliferation of fake news on social media platforms necessitates the development of reliable datasets for effective fake news detection and veracity analysis. In this article, we introduce a veracity dataset of Arabic tweets called "VERA-ARAB", a pioneering large-scale dataset designed to enhance fake news detection in Arabic tweets. VERA-ARAB...

Alternative Titles

Full title

VERA-ARAB: unveiling the Arabic tweets credibility by constructing balanced news dataset for veracity analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e9d4d1d39d8242e2b9f985df11e19d59

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e9d4d1d39d8242e2b9f985df11e19d59

Other Identifiers

ISSN

2376-5992

E-ISSN

2376-5992

DOI

10.7717/peerj-cs.2432

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