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

ABSTRACT: 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 is a balanced, multi-domain, and multi-dialectal dataset, containing both fake and true news, meticulously verified by fact-checking experts from Misbar. Comprising approximately 20,000 tweets from 13,000 distinct users and covering 884 different claims, the dataset includes detailed information such as news text, user details, and spatiotemporal data, spanning diverse domains like sports and politics. We leveraged the X API to retrieve and stru

SUBMITTER: Mostafa MA 

PROVIDER: S-EPMC11623204 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature