8 citations · 13 across the 11 of their papers we have counts for
11 papers
The Body as Status: Muscularity, Engagement, and Body Image Risk on #GymTok
Magdalayna Curry, Minh Duc Chu, Changhao Yan +3
Body image concerns among boys and young men are increasingly oriented toward muscularity, with social media serving as a central context for communicating and evaluating these ide…
When Chatbots Accommodate: Auditing the Response Policies of AI Companions in Vulnerable Conversations
Minh Duc Chu, Yifan Wu, Zhiyi Chen +2
Millions turn to AI companion chatbots during loneliness, grief, and personal crises. How these companion platforms respond in such moments can shape the trajectory of a user's vul…
Tied In on TikTok: Tie Strength and Emotional Dynamics in Algorithmic Communities
Charles Bickham, Minh Duc Chu, Arianna Yuan +5
Whether genuine communities can form on algorithmically-driven short-form video platforms like TikTok remains an open question, given that user interactions are often brief, disper…
BigTokDetect: A Clinically-Informed Vision-Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok
Minh Duc Chu, Kshitij Pawar, Zihao He +7
Social media platforms face escalating challenges in detecting harmful content that promotes muscle dysmorphic behaviors and cognitions (bigorexia). This content can evade moderati…
EDTok: A Dataset for Eating Disorder Content on TikTok
Charles Bickham, Bryan Ramirez-Gonzalez, Minh Duc Chu +2
Eating disorders, which include anorexia nervosa and bulimia nervosa, have been exacerbated by the COVID-19 pandemic, with increased diagnoses linked to heightened exposure to idea…
Illusions of Intimacy: How Emotional Dynamics Shape Human-AI Relationships
Minh Duc Chu, Patrick Gerard, Kshitij Pawar +2
AI companion chatbots, such as those offered by Replika and CharacterAI, increasingly function as always-available companions that provide empathy, validation, and support. While t…
Safe Spaces or Toxic Places? Content Moderation and Social Dynamics of Online Eating Disorder Communities
Kristina Lerman, Minh Duc Chu, Charles Bickham +2
Social media platforms have become critical spaces for discussing mental health concerns, including eating disorders. While these platforms can provide valuable support networks, t…
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
Minh Duc Chu, Zihao He, Rebecca Dorn +1
Large language models (LLMs) have shown promise in representing individuals and communities, offering new ways to study complex social dynamics. However, effectively aligning LLMs…
Leveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums
Minh Duc Chu, Cinthia Sánchez, Zihao He +3
The pervasive expectations about ideal body types in Western society can lead to body image concerns, dissatisfaction, and in extreme cases, eating disorders and other psychopathol…
COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities
Zihao He, Minh Duc Chu, Rebecca Dorn +2
Social scientists use surveys to probe the opinions and beliefs of populations, but these methods are slow, costly, and prone to biases. Recent advances in large language models (L…
Large Language Models Help Reveal Unhealthy Diet and Body Concerns in Online Eating Disorders Communities
Minh Duc Chu, Zihao He, Rebecca Dorn +1
Eating disorders (ED), a severe mental health condition with high rates of mortality and morbidity, affect millions of people globally, especially adolescents. The proliferation of…