Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Studying Unemployment Effects on Mental Health: Social Media versus Traditional Approach

Version 1 : Received: 14 August 2020 / Approved: 17 August 2020 / Online: 17 August 2020 (08:29:47 CEST)

How to cite: Ahmed, S.; Rajput, A.E.; Sarirete, A.; Aljaberi, A.; Alghanem, O.; Alsheraigi, A. Studying Unemployment Effects on Mental Health: Social Media versus Traditional Approach. Preprints 2020, 2020080355 (doi: 10.20944/preprints202008.0355.v1). Ahmed, S.; Rajput, A.E.; Sarirete, A.; Aljaberi, A.; Alghanem, O.; Alsheraigi, A. Studying Unemployment Effects on Mental Health: Social Media versus Traditional Approach. Preprints 2020, 2020080355 (doi: 10.20944/preprints202008.0355.v1).

Abstract

Social media, traditionally reserved for social exchanges on the net, has been increasingly used by researchers to gain insight into different facets of human life. Unemployment is an area that has gained attention by researchers in various fields. Medical practitioners especially in the area of mental health have traditionally monitored the effects of involuntary unemployment with great interest. In this work, we compare the feedback gathered from social media using crowdsourcing techniques to results obtained prior to the advent of Big Data. We find that the results are consistent in terms of 1) financial strain is the biggest stressor and concern, 2) onslaught of depression is typical and 3) possible interventions including reemployment and support from friends and family is crucial in minimizing the effects of involuntary unemployment. Lastly, we could not find enough evidence to study effects on physical health and somatization in this work.

Subject Areas

social media; unemployment; crowdsourcing; natural language processing; mental health

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