Minh Duc Chu
YOU?
Author Swipe
View article: Safe spaces or toxic places? Content moderation and social dynamics of online eating disorder communities
Safe spaces or toxic places? Content moderation and social dynamics of online eating disorder communities Open
Social media platforms have become critical spaces for discussing mental health concerns, including eating disorders. While these platforms can provide valuable support networks, they may also amplify harmful content that glorifies disorde…
View article: Illusions of Intimacy: How Emotional Dynamics Shape Human-AI Relationships
Illusions of Intimacy: How Emotional Dynamics Shape Human-AI Relationships Open
AI companion chatbots, such as those offered by Replika and CharacterAI, increasingly function as always-available companions that provide empathy, validation, and support. While these systems appear to meet basic needs for connection, mou…
View article: EDTok: A Dataset for Eating Disorder Content on TikTok
EDTok: A Dataset for Eating Disorder Content on TikTok Open
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 idealized body images online. TikTok, a platform with over a bi…
View article: Safe Spaces or Toxic Places? Content Moderation and Social Dynamics of Online Eating Disorder Communities
Safe Spaces or Toxic Places? Content Moderation and Social Dynamics of Online Eating Disorder Communities Open
Social media platforms have become critical spaces for discussing mental health concerns, including eating disorders. While these platforms can provide valuable support networks, they may also amplify harmful content that glorifies disorde…
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities Open
Large language models (LLMs) have shown promise in representing individuals and communities, offering new ways to study complex social dynamics. However, effectively aligning LLMs with specific human groups and systematically assessing the…
Leveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums Open
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 psychopathologies related to body image. While previous research has fo…
COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities Open
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 (LLMs) enable the creating of computational representations o…
Machine Learning Insights Into Eating Disorder Twitter Communities Open
Eating disorders have serious impacts on young population physical, psychological, and social functioning. Health agencies are calling for new psycho-therapeutic intervention considerations that take into account online communities, which …
Large Language Models Help Reveal Unhealthy Diet and Body Concerns in Online Eating Disorders Communities Open
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 online communities that promote and normalize ED has been …