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AuthorAli, Zien Sheikh
AuthorMansour, Watheq
AuthorHaouari, Fatima
AuthorHasanain, Maram
AuthorElsayed, Tamer
AuthorAl-Ali, Abdulaziz
Available date2023-11-23T07:18:15Z
Publication Date2023-07-19
Publication NameSIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Identifierhttp://dx.doi.org/10.1145/3539618.3591815
CitationSheikh Ali, Z., Mansour, W., Haouari, F., Hasanain, M., Elsayed, T., & Al-Ali, A. (2023, July). Tahaqqaq: a real-time system for assisting twitter users in Arabic claim verification. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 3170-3174).‏
ISBN9781450394086
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85168691286&origin=inward
URIhttp://hdl.handle.net/10576/49618
AbstractOver the past years, notable progress has been made towards fighting misinformation spread over social media, encouraging the development of many fact-checking systems. However, systems that operate over Arabic content are scarce. In this work, we bridge this gap by proposing Tahaqqaq (Verify), an Arabic real-time system that helps users verify claims over Twitter with several functionalities, such as identifying check-worthy claims, estimating credibility of users in terms of spreading fake news, and finding authoritative accounts. Tahaqqaq has a friendly online Web interface that supports various real-time user scenarios. In the same breath, we enable public access to Tahaqqaq services through a handy RESTful API. Finally, in terms of performance, multiple components of Tahaqqaq outperform the state-of-the-art models on Arabic datasets.
SponsorThis work was supported by NPRP grant# NPRP11S-1204-170060 from the Qatar National Research Fund (a member of Qatar Foundation). The work of Fatima Haouari was supported by GSRA grant# GSRA6-1-0611-19074 from the Qatar National Research Fund. The statements made herein are solely the responsibility of the authors.
Languageen
PublisherAssociation for Computing Machinery, Inc
SubjectFact-checking
Fake news detection
Misinformation
Rumors
Social media
User interface
TitleTahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification
TypeConference Paper
Pagination3170-3174
dc.accessType Abstract Only


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