3 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Within-person prediction of depressive symptom change using year-long Screenome data and CES-D assessments
Merve Cerit, Andrea Mock, Vryan Almanon Feliciano +4
Predicting whether an individual's depressive symptoms will worsen, remain stable, or improve over the coming weeks can enable earlier and more targeted care, yet prospective withi…
Daily Affect Fluctuations in Phone Screen Content Predict Anxiety and Depressive Symptoms
Christopher A. Kelly, Yikun Chi, Nicholas Haber +5
The relationship between digital media use and mental health remains poorly understood, in part because real-world digital behavior is rarely captured at scale. This intensive long…
Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs
Merve Cerit, Eric Zelikman, Mu-Jung Cho +4
As digital media use continues to evolve and influence various aspects of life, developing flexible and scalable tools to study complex media experiences is essential. This study i…
Identification, Impacts, and Opportunities of Three Common Measurement Considerations when using Digital Trace Data
Daniel Muise, Nilam Ram, Thomas Robinson +1
Cataloguing specific URLs, posts, and applications with digital traces is the new best practice for measuring media use and content consumption. Despite the apparent accuracy that…