Trust It or Not: Effects of Machine-Learning Warnings in Helping Individuals Mitigate Misinformation. - Haeseung Seo; Aiping Xiong; Dongwon Lee 001 (WebSci, 2019)

Beyond Cognitive Ability: Susceptibility to Fake News Is Also Explained by Associative Inference. - Sian Lee; Joshua P. Forrest; Jessica Strait; Haeseung Seo; Dongwon Lee 001; Aiping Xiong (CHI Extended Abstracts, 2020)

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. - Limeng Cui; Haeseung Seo; Maryam Tabar; Fenglong Ma; Suhang Wang; Dongwon Lee 001 (KDD, 2020)

If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation. - Haeseung Seo; Aiping Xiong; Sian Lee; Dongwon Lee 001 (ICWSM, 2022)

Associative Inference Can Increase People's Susceptibility to Misinformation. - Sian Lee; Haeseung Seo; Dongwon Lee 001; Aiping Xiong (ICWSM, 2023)

Does It Matter Who Said It? Exploring the Impact of Deepfake-Enabled Profiles on User Perception towards Disinformation. - Margie Ruffin; Haeseung Seo; Aiping Xiong; Gang Wang 011 (ICWSM, 2024)

Reliability Matters: Exploring the Effect of AI Explanations on Misinformation Detection with a Warning. - Haeseung Seo; Sian Lee; Dongwon Lee 001; Aiping Xiong (ICWSM, 2024)

Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations. - Mahjabin Nahar; Haeseung Seo; Eun-Ju Lee 001; Aiping Xiong; Dongwon Lee 001 (CoRR, 2024)

A Study of Training Strategies on Enhancing Human Detection of AI-Synthesized Faces. - Ester Chen; Haeseung Seo; Margie Ruffin; Dongwon Lee 001; Gang Wang 011; Aiping Xiong (ICWSM, 2025)

Partisan Fact-Checkers' Warnings Can Effectively Correct Individuals' Misbeliefs About Political Misinformation. - Sian Lee; Haeseung Seo; Aiping Xiong; Dongwon Lee 001 (ICWSM, 2025)

Partisan Fact-Checkers' Warnings Can Effectively Correct Individuals' Misbeliefs About Political Misinformation. - Sian Lee; Haeseung Seo; Aiping Xiong; Dongwon Lee (CoRR, 2025)