تَحَقَّق
Tahaqqaq 

Why?

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.

Who?

Tahaqqaq is completely designed and developed at Qatar University by the talent of a research team of members of bigIR research group (Zien Sheikh Ali, Watheq Mansour, Fatima Haouari, and Maram Hasanain) under the supervision of Dr. Tamer Elsayed and in collaboration with Dr. Abdulaziz Al-Ali. The project is funded by QNRF under research grant NPRP11S-1204-170060.

What services it provides

Tahaqqaq is a Web-based system built using Flask framework. The online user interface allows users to explore different use cases. We also expose our fact-checking functionalities as a RESTful API that accepts POST and GET requests from the user, making it accessible through any programming language. The complete pipeline of our proposed system is depicted here. The system encompasses three stages: Claim Detection, Claim Retrieval, and Claim Checking.

Try it!

Experimental Live Demo: http://bigir1.qu.edu.qa:5050/tahaqqaq

API: https://gitlab.com/bigirqu/Tahaqqaq

Quick Video: https://drive.google.com/file/d/1tJKdnb58mBMO5YeTklUfVXy3ZvoEmdwS/view