Assessing population-level symptoms of anxiety, depression, and suicide risk in real time using NLP applied to social media data

no code implementations • EMNLP (NLP+CSS) 2020 • Alex Fine, Patrick Crutchley, Jenny Blase, Joshua Carroll, Glen Coppersmith

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).

Decision Making

Individual Differences in the Movement-Mood Relationship in Digital Life Data

no code implementations • NAACL (CLPsych) 2021 • Glen Coppersmith, Alex Fine, Patrick Crutchley, Joshua Carroll

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.