ClaimViz: Visual Analytics for Fact-checking

Determining the veracity of a factual claim made by public figures, aka 'fact-checking', is a common task of the journalists in the newsrooms. One critical challenge that they face while fact-checking is- they have to swift through a large amount of text to find claims that are checkworthy. While there exist some computational methods for automating the fact-checking process, little research has been done on how a system should combine such techniques with visualizations to assist journalists. ClaimViz is a visual analytic system that integrates machine learning methods with interactive visualizations to facilitate the fact-checking process for journalists. The design of ClaimViz is based on analyzing the requirements of real fact-checkers and our case studies demonstrate how the system can help users to effectively spot and verify claims.

ClaimViz Demo.

Related Publications


Md Mahfuzul Haque, Mohammad Yousuf, Ahmed Shatil Alam, Pratyasha Saha, Syed Ishtiaque Ahmed, Naeemul Hassan. Combating misinformation in bangladesh: roles and responsibilities as perceived by journalists, fact-checkers, and users. Proceedings of the 23rd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). 2020
Arslan, Fatma; Hassan, Naeemul; Li, Chengkai; Tremayne, Mark; . A benchmark dataset of check-worthy factual claims. Proceedings of the International AAAI Conference on Web and Social Media. 2020
Md Main Uddin Rony, Enamul Haque, Naeemul Hassan. Claimviz: visual analytics for identifying and verifying factual claims. Proceedings of the 2020 IEEE Visualization Conference (VIS). 2020


Md Mahfuzul Haque, Mohammad Yousuf, Zahedur Arman, Md Main Uddin Rony, Ahmed Shatil Alam, Kazi Mehedi Hasan, Md Khadimul Islam, Naeemul Hassan. Fact-checking initiatives in bangladesh, india, and nepal: a study of user engagement and challenges. 2019 Computation+Journalism Symposium. 2019
Hassan, Naeemul; Yousuf, Mohammad; Mahfuzul Haque, Md; A Suarez Rivas, Javier; Khadimul Islam, Md; . Examining the roles of automation, crowds and professionals towards sustainable fact-checking. Companion Proceedings of The 2019 World Wide Web Conference. 2019