Xiao Qin Wang
Papers
1
Total Citations
12
H-Index
1
About
Dr. Xiao Qin Wang is a leading researcher in computational suicidology and digital mental health, with a focus on leveraging social media data to identify and understand suicide risk. Her most cited work, "Characteristics of High Suicide Risk Messages From Users of a Social Network—Sina Weibo 'Tree Hole'" (2022, 12 citations), represents a pioneering contribution to the field. In this study, Dr. Wang analyzed posts from "Zoufan," one of China's largest depression-focused "Tree Holes" on Sina Weibo, to characterize linguistic and behavioral markers of high suicide risk. Her research provides critical insights into how individuals with suicidal ideation communicate distress online, including patterns that may precede collective suicide attempts. By developing methods to extract suicide warning information from naturalistic social media data, Dr. Wang's work directly informs early intervention strategies and digital surveillance systems for mental health crises. Her findings have significant implications for public health, offering a scalable approach to suicide prevention in online communities. Dr. Wang continues to advance the intersection of computational linguistics, psychology, and social media analytics, making her a key figure in the emerging field of digital suicide prevention research.
Research Focus
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Top Papers
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