most citedExamining the Impact of Label Detail and Content Stakes on User Perceptions of AI-Generated Images on Social Media

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cs.HC2026

Balancing Safety and Autonomy: Accessibility-Oriented Interventions in Generative AI for Cognitive Impairment

Yibo Meng, Jingruo Chen, Lyumanshan Ye +2

Generative AI systems are increasingly used by older adults with cognitive impairment for everyday tasks such as information seeking, health management, and communication. While th…

cs.HC2026

CANote: Empowering Fact-checking Note Writing Through Scaffolded and Provenance-based Human-AI Collaboration

Shuning Zhang, Jingruo Chen, Yuwei Chuai +4

Crowdsourced fact-checking mechanisms, such as X's Community Notes, play a critical role in mitigating the spread of misinformation. However, drafting high-quality, evidence-based…

cs.HC2026

"Not Just Me and My To-Do List": Understanding Challenges of Task Management for Adults with ADHD and the Need for AI-Augmented Social Scaffolds

Jingruo Chen, Yibo Meng, Kexin Nie

Adults with ADHD often face challenges with task management, not due to a lack of willpower, but because of emotional and relational misalignments between cognitive needs and norma…

cs.HC2025★ 1 cited

Examining the Impact of Label Detail and Content Stakes on User Perceptions of AI-Generated Images on Social Media

Jingruo Chen, TungYen Wang, Marie Williams +4

AI-generated images are increasingly prevalent on social media, raising concerns about trust and authenticity. This study investigates how different levels of label detail (basic,…

cs.HC2025

Fact-Checking Comments Precede Community Notes to Misleading Posts on X

Shuning Zhang, Dai Shi, Yuwei Chuai +6

Community-based fact-checking systems, such as X's Community Notes program, offer a potentially scalable approach against online misinformation diffusion. However, their efficacy i…