- Rishabh Mediratta, Jacob Devasier, and Chengkai Li. Enabling Automated Fact Checking of Voting Related Claims Using Frame Semantic Parsing and Semantic Search. In Proceedings of the Undergraduate Consortium at the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-UC), Barcelona, Spain, August 25-29, 2024. PDF poster ClaimLens
- Jacob Devasier, Rishabh Mediratta, Phuong Anh Le, David Huang, and Chengkai Li. ClaimLens: Automated, Explainable Fact-Checking on Voting Claims Using Frame-Semantics. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 311-319, Maimi, Florida, November 12-16, 2024. ACL Anthology ClaimLens
- Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, and Chengkai Li. Exploring Behavioral Tendencies on Social Media: A Perspective Through Claim Check-Worthiness. In Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Rende(CS), Calabria, Italy, September 2-5, 2024. To appear. PDF dataset
- Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang, Jacob Devasier, and Chengkai Li. Granular Analysis of Social Media Users’ Truthfulness Stances Toward Climate Change Factual Claims. In Proceedings of the Workshop of Natural language Processing meets Climate Change (ClimateNLP) , Bangkok, Thailand, August 11-16, 2024. To appear. (Co-located with ACL 2024) ACL Anthology poster slides
- Kevin Meng^, Damian Jimenez^, Jacob Devasier, Sai Sandeep Naraparaju, Fatma Arslan, Daniel Obembe and Chengkai Li. Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims. In ACM Transactions on Intelligent Systems and Technology (TIST), 15(6): 120:6-1:25, August 2024. PDF ClaimBuster API codebase dataset data annotation video 1 video 2
- Jacob Devasier, Yogesh Gurjar, and Chengkai Li. Robust Frame-Semantic Models with Lexical Unit Trees and Negative Samples. In Proceedings of the 62nd Annual Meeting of Association of Computational Linguistics (ACL), Bangkok, Thailand, August 11-16, 2024. ACL Anthology poster slides codebase talk
- Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, and Chengkai Li. Wildfire: A Twitter Social Sensing Platform for Layperson. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM), pages 1106-1109, Mérida, Yucatán, Mexico, March 4-8, 2024. Demonstration description. PDF poster Wildfire online demo video
- Zhengyuan Zhu, Zeyu Zhang, Foram Patel, Chengkai Li. Detecting Stance of Tweets Toward Truthfulness of Factual Claims. In Proceedings of the 2022 Computation+Journalism Symposium, 4 pages, New York City, New York, Jun 2022. PDF poster slides
- Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohammed Samiul Saeef, Paras Pathak, Chengkai Li. A Dashboard for Mitigating the COVID-19 Misinfodemic. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL): System Demonstrations, pages 99–105, April 19-23, 2021. ACL Anthology poster slides codebase dataset video
- Fatma Arslan, Naeemul Hassan, Chengkai Li, and Mark Tremayne. A Benchmark Dataset of Check-worthy Factual Claims. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), June 2020. ACL Anthology dataset data annotation talk
- Fatma Arslan, Josue Caraballo, Damian Jimenez, and Chengkai Li. Modeling Factual Claims with Semantic Frames. In Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC), Marseille, France, May 11-16, 2020, pages 2511-2520 ACL Anthology Frame Annotator dataset
- Sarthak Majithia, Fatma Arslan, Sumeet Lubal, Damian Jimenez, Priyank Arora, Josue Caraballo, and Chengkai Li. ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, pages 153-158, Florence, Italy, July 2019. ACL Anthology poster ClaimPortal online demo video
- Fatma Arslan, Damian Jimenez, Josue Caraballo, Gensheng Zhang, and Chengkai Li. Modeling Factual Claims by Frames. In Proceedings of the 2019 Computation+Journalism Symposium, 5 pages, Miami, Florida, February 2019. PDF poster
- Bill Adair, Chengkai Li, Jun Yang, and Cong Yu. Automated Pop-Up Fact-Checking: Challenges & Progress. In Proceedings of the 2019 Computation+Journalism Symposium, 5 pages, Miami, Florida, February 2019. PDF
- Bill Adair, Mark Stencel, Cathy Clabby, and Chengkai Li. The Human Touch in Automated Fact-Checking. In Proceedings of the 2019 Computation+Journalism Symposium, 5 pages, Miami, Florida, February 2019. PDF
- Damian Jimenez and Chengkai Li. An Empirical Study on Identifying Sentences with Salient Factual Statements. In Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN), 8 pages, Rio de Janeiro, Brazil, July 2018. PDF poster ClaimBuster API codebase dataset data annotation video 1 video 2
- Bill Adair, Chengkai Li, Jun Yang, and Cong Yu. Progress Toward “the Holy Grail”: The Continued Quest to Automate Fact-Checking. In Proceedings of the 2017 Computation+Journalism Symposium, 5 pages, Evanston, Illinois, October 2017. PDF
- Naeemul Hassan, Gensheng Zhang, Fatma Arslan, Josue Caraballo, Damian Jimenez, Siddhant Gawsane, Shohedul Hasan, Minumol Joseph, Aaditya Kulkarni, Anil Kumar Nayak, Vikas Sable, Chengkai Li, and Mark Tremayne. ClaimBuster:The First-ever End-to-end Fact-checking System. In Proceedings of the VLDB Endowment (PVLDB), 10(12): 1945-1948, August 2017. Demonstration description. (acceptance rate 35/115=30.4%) PDF poster ClaimBuster API codebase dataset data annotation video 1 video 2
- Naeemul Hassan, Fatma Arslan, Chengkai Li, and Mark Tremayne. Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 1803-1812, Halifax, Nova Scotia, Canada, August 2017. (Applied Data Science track, full paper, poster presentation, acceptance rate 85/396=21.5%) PDF poster ClaimBuster API codebase dataset data annotation video 1 video 2
- Naeemul Hassan, Mark Tremayne, Fatma Arslan, and Chengkai Li. Comparing Automated Factual Claim Detection Against Judgments of Journalism Organizations. In Proceedings of the 2016 Computation+Journalism Symposium, 5 pages, Stanford, California, USA, September 2016. PDF slides
- Naeemul Hassan, Chengkai Li, and Mark Tremayne. Detecting Check-worthy Factual Claims in Presidential Debates. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pages 1835-1838, Melbourne, Australia, October 2015. (KM track short Paper, full paper acceptance rate 87/484=18.0%, short paper acceptance rate 36/484=7.4%) PDF
- Naeemul Hassan, Bill Adair, James Hamilton, Chengkai Li, Mark Tremayne, Jun Yang and Cong Yu. The Quest to Automate Fact-Checking. In Proceedings of the 2015 Computation+Journalism Symposium, 5 pages, New York City, USA, October 2015. PDF
