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Found 18 papers, 2 papers with code
Assessing population-level symptoms of anxiety, depression, and suicide risk in real time using NLP applied to social media data
Here, we demonstrate that natural language processing applied to publicly-available social media data can provide real-time estimates of psychological distress in the population (specifically, English-speaking Twitter users in the US).
Social media data as a lens onto care-seeking behavior among women veterans of the US armed forces
In this article, we examine social media data as a lens onto support-seeking among women veterans of the US armed forces.
Individual Differences in the Movement-Mood Relationship in Digital Life Data
We describe these individual differences, and argue that individual variability in the relationship between movement and mood is one of many such factors that ought be taken into account in wellbeing-focused apps and AI systems.
Community-level Research on Suicidality Prediction in a Secure Environment: Overview of the CLPsych 2021 Shared Task
Progress on NLP for mental health — indeed, for healthcare in general — is hampered by obstacles to shared, community-level access to relevant data.
Predictive Linguistic Features of Schizophrenia
As such, we examine the writings of schizophrenia patients analyzing their syntax, semantics and pragmatics.
Cross-cultural differences in language markers of depression online
This study explores cultural differences in online language data of users with depression.
Cultural Vocal Bursts Intensity Prediction
Data Visualization
In your wildest dreams: the language and psychological features of dreams
In this paper, we provide the first quantified exploration of the structure of the language of dreams, their linguistic style and emotional content.
Small but Mighty: Affective Micropatterns for Quantifying Mental Health from Social Media Language
Many psychological phenomena occur in small time windows, measured in minutes or hours.
Quantifying Mental Health from Social Media with Neural User Embeddings
Our experimental results demonstrate that the user embeddings capture similarities between users with respect to mental conditions, and are predictive of mental health.
Ethical Research Protocols for Social Media Health Research
Social media have transformed data-driven research in political science, the social sciences, health, and medicine.
