291 citations · 412 across the 6 of their papers we have counts for
11 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…
SemEval-2020 Task 7: Assessing Humor in Edited News Headlines
Nabil Hossain, John Krumm, Michael Gamon +1
This paper describes the SemEval-2020 shared task "Assessing Humor in Edited News Headlines." The task's dataset contains news headlines in which short edits were applied to make t…
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…
Inferring Nighttime Satellite Imagery from Human Mobility
Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla +2
Nighttime lights satellite imagery has been used for decades as a uniform, global source of data for studying a wide range of socioeconomic factors. Recently, another more terrestr…
Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines
Nabil Hossain, John Krumm, Tanvir Sajed +1
Building datasets of creative text, such as humor, is quite challenging. We introduce FunLines, a competitive game where players edit news headlines to make them funny, and where t…