Psychology

Using language in social media posts to study the network dynamics of depression longitudinally

S. W. Kelley and C. M. Gillan

Discover how the dynamic connectivity of depression-related language can reflect changes in mental health! Conducted by Sean W. Kelley and Claire M. Gillan, this study analyzes Twitter data to explore the intricate networks of depressive symptoms.

00:00

Playback language: English

Related Publications

Explore these studies to deepen your understanding of the subject.

Political Science

Using the president's tweets to understand political diversion in the age of social media

S. Lewandowsky, M. Jetter, et al.

Interdisciplinary Studies

Second-order Citations in Altmetrics: A Case Study Analyzing the Audiences of COVID-19 Research in the News and on Social Media

J. P. Alperin, A. Fleerackers, et al.

Linguistics and Languages

The potential of emotive language to influence the understanding of textual information in media coverage

A. Absattar, M. Mambetova, et al.

Humanities

Measuring the impact of COVID-19 on heritage sites in the UK using social media data

Z. Liu, S. A. Orr, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny