Temporal Mental Health Dynamics on Social Media
- URL: http://arxiv.org/abs/2008.13121v3
- Date: Wed, 2 Sep 2020 12:31:13 GMT
- Title: Temporal Mental Health Dynamics on Social Media
- Authors: Tom Tabak and Matthew Purver
- Abstract summary: We utilise a pre-existing methodology for distant-supervision of mental health data mining from social media platforms.
We deploy the system during the global COVID-19 pandemic as a case study.
We produce encouraging results, both explicit to the global pandemic and implicit to a global phenomenon, Christmas Depression.
- Score: 4.738262035554573
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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.
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