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Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study

Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study

We referred to the selection of 50 LIWC categories by De Choudhury et al [32] to describe each post in our data set in terms of the occurrence of these 50 psycholinguistic attributes. To extract longitudinal trends in people’s behaviors and attitudes, we sought to assign psycholinguistic attributes temporally. College students use social media quite often, but not all usage involves posting content. Even though our data spanned over 2 years, a large number of days did not have any posts.

Vedant Das Swain, Jingjing Ye, Siva Karthik Ramesh, Abhirup Mondal, Gregory D Abowd, Munmun De Choudhury

JMIR Form Res 2024;8:e52316

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

However, this raises important questions about what microlevel factors differentiate substance use escalation and de-escalation. More information is needed to understand these microlevel risk factors associated with substance use escalation and de-escalation.

Yunhao Yuan, Erin Kasson, Jordan Taylor, Patricia Cavazos-Rehg, Munmun De Choudhury, Talayeh Aledavood

JMIR Form Res 2024;8:e54433

Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data

Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data

The presence of emotional support and mental health resources alongside traditional health information could provide individuals with language and resources that are more in line with their experience of distress and serve to de-escalate concerns about symptoms that are likely to be nonlethal.

Ben Rochford, Sachin Pendse, Neha Kumar, Munmun De Choudhury

JMIR Ment Health 2023;10:e43253