10 citations · 20 across the 5 of their papers we have counts for
5 papers
Detecting Individuals with Depressive Disorder fromPersonal Google Search and YouTube History Logs
Boyu Zhang, Anis Zaman, Rupam Acharyya +3
Depressive disorder is one of the most prevalent mental illnesses among the global population. However, traditional screening methods require exacting in-person interviews and may…
The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States during COVID-19: Observational Study
Anis Zaman, Boyu Zhang, Ehsan Hoque +2
Mental health problems among the global population are worsened during the coronavirus disease (COVID-19). How individuals engage with online platforms such as Google Search and Yo…
Individual-level Anxiety Detection and Prediction from Longitudinal YouTube and Google Search Engagement Logs
Anis Zaman, Boyu Zhang, Vincent Silenzio +2
Anxiety disorder is one of the world's most prevalent mental health conditions, arising from complex interactions of biological and environmental factors and severely interfering o…
Learning from various labeling strategies for suicide-related messages on social media: An experimental study
Tong Liu, Qijin Cheng, Christopher M. Homan +1
Suicide is an important but often misunderstood problem, one that researchers are now seeking to better understand through social media. Due in large part to the fuzzy nature of wh…
Respondent-Driven Sampling in Online Social Networks
Christopher M. Homan, Vincent Silenzio, Randall Sell
Respondent-driven sampling (RDS) is a commonly used method for acquiring data on hidden communities, i.e., those that lack unbiased sampling frames or face social stigmas that make…