@inproceedings{aaa7da4adaaa4222881ba987d90b8b83,
title = "Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification",
abstract = "Over 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.",
keywords = "Fact-checking, Fake news detection, Misinformation, Rumors, Social media, User interface",
author = "Ali, {Zien Sheikh} and Watheq Mansour and Fatima Haouari and Maram Hasanain and Tamer Elsayed and Abdulaziz Al-Ali",
note = "Publisher Copyright: {\textcopyright} 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023 ; Conference date: 23-07-2023 Through 27-07-2023",
year = "2023",
month = jul,
day = "19",
doi = "10.1145/3539618.3591815",
language = "English",
series = "SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery, Inc",
pages = "3170--3174",
booktitle = "SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval",
}