2024
Reliability Matters: Exploring the Effect of AI Explanations on Misinformation Detection With a Warning, Haeseung Seo, Sian Lee, Dongwon Lee, Aiping Xiong, 18th Int'l AAAI Conf. on Web and Social Media (ICWSM), Buffalo, NY, June 2024
Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective, Wojciech Mazurczyk, Dongwon Lee, Andreas Vlachos, ACM Comm. of the ACM (CACM), March 2024
2023
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation, Jason Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee, Conf. on Empirical Methods in Natural Language Processing (EMNLP), Singapore, December 2023
"Fact-Checking" Fact Checkers: A Data-Driven Approach, Sian Lee, Aiping Xiong, Haeseung Seo, Dongwon Lee, Harvard Kennedy School (HKS) Misinformation Review, 4(5), October 2023
Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts, Maya Merhi, Sarah Rajtmajer, Dongwon Lee, 17th Int'l AAAI Conf. on Web and Social Media (ICWSM), Limassol, Cyprus, June 2023
Associative Inference Can Increase People's Susceptibility to Misinformation, Sian Lee, Haeseung Seo, Dongwon Lee, Aiping Xiong, 17th Int'l AAAI Conf. on Web and Social Media (ICWSM), Limassol, Cyprus, June 2023
2022
If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation, Haeseung Seo, Aiping Xiong, Sian Lee, Dongwon Lee, 16th Int'l AAAI Conf. on Web and Social Media (ICWSM), Atlanta, GA, June 2022
Detecting False Claims in Low-Resource Regions: A Case Study of Caribbean Islands, Jason Lucas, Limeng Cui, Thai Le, Dongwon Lee, ACL Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation (CONSTRAINT), Dublin, Ireland, May 2022
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning, Thai Le, Long Tran-Thanh, Dongwon Lee, The ACM Web Conference (WWW), Virtual Event, April 2022
Effects of Associative Inference on Individuals’ Susceptibility to Misinformation, Aiping Xiong, Sian Lee, Haeseung Seo, Dongwon Lee, Journal of Experimental Psychology (JEP): Applied, 29(1), 2022
2021
A Systematic Review on Fake News Research through the Lens of News Creation and Consumption: Research Efforts, Challenges, and Future Directions, Bogoan Kim, Aiping Xiong, Dongwon Lee, Kyungsik Han, PLOS ONE, 16(12), December 2021
(In)effectiveness of Accumulated Correction on COVID-19 Misinformation, Haeseung Seo, Sian Lee, Aiping Xiong, Dongwon Lee, American Psychological Association Conf. on Technology, Mind & Society (TMS), Virtual Event, November 2021
TuringBench: A Benchmark Environment for Turing Test in the Age of Neural Text Generation, Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee, Findings of Conf. on Empirical Methods in Natural Language Processing (EMNLP), Virtual Event, November 2021
ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System, Youngseung Jeon, Bogoan Kim, Aiping Xiong, Dongwon Lee, Kyungsik Han, 24th ACM Conf. on Computer-Supported Cooperative Work and Social Computing (CSCW), Virtual Event, October 2021
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks, Thai Le, Noseong Park, Dongwon Lee, 59th Annual Meeting of the Association for Comp. Linguistics (ACL), Virtual Event, October 2021
Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read, Maria Molina, S. Shyam Sundar, Md Main Uddin Rony, Naeemul Hassan, Thai Le, Dongwon Lee, ACM Conf. on Human Factors in Computing Systems (CHI), Virtual Event, May 2021
CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-Teaching, Tianyi Xie, Thai Le, Dongwon Lee, Joint European Conf. on Machine Learning and Principles & Practice of Knowledge Discovery in Databases (ECML-PKDD), Virtual Event, September 2021
2020
Authorship Attribution for Neural Text Generation, Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee, Conf. on Empirical Methods in Natural Language Processing (EMNLP), Virtual Event, November 2020
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models,Thai Le, Suhang Wang, Dongwon Lee, 20th IEEE Int'l Conf. on Data Mining (ICDM), Virtual Event, November 2020
DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation, Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee, 26th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), San Diego, CA, August 2020
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction, Thai Le, Suhang Wang, Dongwon Lee, 26th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Virtual Event, August 2020
FakeNewsNet: A Data Repository with News Content, Social Context and Spatiotemporal Information for Studying Fake News on Social Media, Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu, J. Big Data, 8(3), June 2020
CoAID: COVID-19 Healthcare Misinformation Dataset, Limeng Cui, Dongwon Lee, arXiv Preprint arXiv:2006.00885, May 2020
Beyond Cognitive Ability: Susceptibility to Fake News Is Also Explained by Associative Inference, Sian Lee, Haeseung Seo, Joshua Forrest, Dongwon Lee, Jessica Strait, Aiping Xiong, ACM Conf. on Human Factors in Computing Systems (CHI), Honolulu, HI, April 2020 (Extended Abstract)
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu, Disinformation, Misinformation and Fake News in Social Media (Lecture Notes in Social Networks), March 2020
2019
dEFEND: A System for Explainable Fake News Detection, Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu, In 28th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Beijing, China, November 2019 (Demo)
Characterizing Man-made vs. Machine-made Chatbot Dialogs, Adaku Uchendu, Jeffrey Cao, Qiaozhi Wang, Bo Luo, Dongwon Lee, In Int'l Conf. on Truth and Trust Online (TTO), London, UK, October 2019
"Fake News" is Not Simply False Information: A Concept Explication and Taxonomy of Online Content, Maria Molina, Shyam Soundar, Thai Le, Dongwon Lee, In American Behavioral Scientist, page 1-33, October 2019
5 Sources of Clickbaits You Should Know! Using Synthetic Clickbaits to Improve Prediction and Distinguish between Bot-Generated and Human-Written Headlines, Thai Le, Kai Shu, Maria Molina, Dongwon Lee, Shyam Soundar, Huan Liu, In IEEE/ACM Int'l Conf. on Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, August 2019
SAME: Sentiment-Aware Multi-Modal Embedding for Detecting Fake News, Limeng Cui, Suhang Wang, Dongwon Lee, In IEEE/ACM Int'l Conf. on Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, August 2019
dEFEND: Explainable Fake News Detection, Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu, In 25th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Anchorage, AK, August 2019
Trust It or Not: Effects of Machine-Learning Warnings in Helping Individuals Mitigate Misinformation, Haeseung Seo, Aiping Xiong, Dongwon Lee, In 11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
A Reverse Turing Test for Detecting Machine-Made Texts, Jialin Shao, Adaku Uchendu, Dongwon Lee, In 11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
How Gullible Are You? Predicting Susceptibility to Fake News, Tracy Jia Shen, Robert Cowell, Adita Gupta, Thai Le, Amulya Yadev, Dongwon Lee, In 11th Int'l ACM Web Science Conf. (WebSci), Boston, MA, July 2019
2018
Deep Headline Generation for Clickbait Detection, Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu, In 18th IEEE Int'l Conf. on Data Mining (ICDM), Singapore, November 2018
Fake News: A Concept Explication and Taxonomy of Online News, Maria Molina, S. Shyam Sundar, 101st Annual Conf. of the Association for Education in Journalism and Mass Communication, Washington, DC., 2018
Computational Solutions against Fake News: AI vs. DB Approaches, Naeemul Hassan, Dongwon Lee, In 32nd AAAI Conf. on Artificial Intelligence (AAAI), New Orleans, LA, February 2018 (Tutorial)