Temporal Mental Health Dynamics on Social Media

08/30/2020
by   Tom Tabak, et al.
1

We describe a set of experiments for building a temporal mental health dynamics system. We utilise a pre-existing methodology for distant-supervision of mental health data mining from social media platforms and deploy the system during the global COVID-19 pandemic as a case study. Despite the challenging nature of the task, we produce encouraging results, both explicit to the global pandemic and implicit to a global phenomenon, Christmas Depression, supported by the literature. We propose a methodology for providing insight into temporal mental health dynamics to be utilised for strategic decision-making.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/20/2020

COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study

COVID-19 pandemic has adversely and disproportionately impacted people s...
research
07/07/2022

Towards Knowledge-based Mining of Mental Disorder Patterns from Textual Data

Mental health disorders may cause severe consequences on all the countri...
research
11/22/2020

Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic

The COVID-19 pandemic has affected all aspects of society, not only brin...
research
07/19/2018

Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation

Predicting mental health from smartphone and social media data on a long...
research
07/24/2023

Go Together: Bridging the Gap between Learners and Teachers

After the pandemic, humanity has been facing different types of challeng...
research
06/05/2021

Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains

Social media has become a valuable resource for the study of suicidal id...

Please sign up or login with your details

Forgot password? Click here to reset