AI-generated content (AIGC)
Large Language Models
Mechanisms of belief
Visual misinformation
Personality
🎓 PhD in Psychology, 2021 - 2025
Hong Kong University (HKU)
🎓 B.S. in Psychobiology, 2016-2020
Minor in Cognitive Science
Specialization in Computing
University of California, Los Angeles (UCLA)
Summary
Even after misinformation is corrected, false beliefs can linger. Using EEG, this study explored how people encode events, their causes, and corrections versus affirmations. Quick correct judgments predicted better memory for corrections the next day, while repeated exposure to misinformation didn’t improve learning. Neural signals revealed that corrections evoke weaker P300 responses but stronger frontal slow-wave activity when successfully remembered, suggesting that processing corrections is more cognitively demanding than processing affirmations
Summary
Here, we examine how properties of AI-synthesized images influence belief in misinformation and memory for corrections. Realistic and probative (i.e., providing strong evidence) images predicted greater belief in false headlines. Additionally, we found preliminary evidence that paying attention to properties of images could selectively lower belief in false headlines. Our findings suggest that advances in photorealistic image generation will likely lead to greater susceptibility to misinformation, and that future interventions should consider shifting attention to images.
Summary
As AI-generated images become increasingly realistic, distinguishing fact from fiction online grows harder. In this study, targeted tips on spotting AI images helped participants better identify false AI-generated images more so than general media literacy tips, though both approaches slightly reduced belief in true headlines. The results highlight that specific guidance can curb AI misinformation, but preserving trust in real information remains a challenge.
Summary
Corrections alone rarely erase the impact of misinformation. In this EEG study, we examine how the brain encodes and later evaluates corrected information. Providing an alternative explanation alongside a retraction significantly reduced the continued influence effect and enhanced neural markers of memory encoding and recollection during later truth judgments. The findings suggest that replacing misinformation with a plausible alternative strengthens corrective processing in memory, offering new insight into the neurocognitive mechanisms that make misinformation so persistent, and how to counter it more effectively.
Python, R, Qualtrics, MATLAB (EEGLAB), PsychoPy, Jamovi
LLM API (e.g., ChatGPT, Deepseek, Llama, Qwen), Midjourney
English, Chinese (Mandarin), Chinese (Cantonese), Japanese, French
Last Update: 16 Mar. 2026