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.
@article{arxiv.2008.13121,
title = {Temporal Mental Health Dynamics on Social Media},
author = {Tom Tabak and Matthew Purver},
journal= {arXiv preprint arXiv:2008.13121},
year = {2020}
}