2 citations · 5 across the 15 of their papers we have counts for
10 papers · 1 filter
"AI Is Turning Too Human": How Teenagers Experience and Negotiate AI in Everyday Life
Jianfeng Zhu
Generative AI is rapidly entering adolescents' everyday lives during a critical period of cognitive, social and emotional development. Yet its adoption is outpacing evidence on how…
Characterizing the Temporal, Emotional, and Social Patterns of Adolescent Substance Use Discussions on Reddit
Leran Hong, Lei Jin, Jianfeng Zhu
Adolescence is a critical developmental period marked by heightened emotional sensitivity, social stress, and vulnerability to substance use. However, traditional research methods…
When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening
Jianfeng Zhu, Megan Korhummel, Ruoming Jin +1
As demand for mental health care outpaces clinician-delivered assessment, scalable screening tools are increasingly needed. Large language models (LLMs) may identify psychiatric ri…
What Do AI Agents Talk About? Discourse and Architectural Constraints in the First AI-Only Social Network
Taksch Dube, Jianfeng Zhu, NHatHai Phan +1
Moltbook is the first large-scale social network built for autonomous AI agent-to-agent interaction. Early studies on Moltbook have interpreted its agent discourse as evidence of p…
Understanding Risk and Dependency in AI Chatbot Use from User Discourse
Jianfeng Zhu, Karin G. Coifman, Ruoming Jin
Generative AI systems are increasingly embedded in everyday life, yet empirical understanding of how psychological risk associated with AI use emerges, is experienced, and is regul…
AI-Powered Early Diagnosis of Mental Health Disorders from Real-World Clinical Conversations
Jianfeng Zhu, Julina Maharjan, Xinyu Li +2
Mental health disorders remain among the leading cause of disability worldwide, yet conditions such as depression, anxiety, and Post-Traumatic Stress Disorder (PTSD) are frequently…
Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
Jianfeng Zhu, Julina Maharjan, Xinyu Li +2
Large Language Models (LLMs) are increasingly deployed in roles requiring nuanced psychological understanding, such as emotional support agents, counselors, and decision-making ass…
Can LLMs Infer Personality from Real World Conversations?
Jianfeng Zhu, Ruoming Jin, Karin G. Coifman
Large Language Models (LLMs) such as OpenAI's GPT-4 and Meta's LLaMA offer a promising approach for scalable personality assessment from open-ended language. However, inferring per…
Investigating Large Language Models in Inferring Personality Traits from User Conversations
Jianfeng Zhu, Ruoming Jin, Karin G. Coifman
Large Language Models (LLMs) are demonstrating remarkable human like capabilities across diverse domains, including psychological assessment. This study evaluates whether LLMs, spe…
Emotions, Context, and Substance Use in Adolescents: A Large Language Model Analysis of Reddit Posts
Jianfeng Zhu, Hailong Jiang, Yulan Wang +3
Early substance use during adolescence increases the risk of later substance use disorders and mental health problems, yet the emotional and contextual factors driving these behavi…