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

Abstract

Social media, traditionally reserved for social exchanges on the Internet, 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. The question we want to address is as follows: while many researchers have been using data from social media and microblogging sites in the past few years, do they provide results consistent with traditional research? Furthermore, if the data are indeed consistent, are they detailed enough to deduce possible reasons and remedies? We believe that having a concise answer to these questions is imperative for a sustainable mechanism for medical practitioners and researchers to gather and analyze data. The stigma of mental health prevents a good portion of society from seeking help, but the anonymity provided by the Internet could shatter such barriers, thus allowing people affected by conditions such as mental health and unemployment to express themselves freely. In this work, we compare the feedback gathered from social media using crowdsourcing techniques to results obtained prior to the advent of social media and microblogging. We find that the results are consistent in terms of (1) financial strain being the biggest stressor and concern, (2) the onslaught of depression being typical and (3) possible interventions, including reemployment and support from friends and family, playing a crucial role 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.

Social Media Mining of Long-COVID Self-Medication Reported by Reddit Users: Feasibility Study to Support Drug Repurposing

“…Nowadays, there is a growing awareness in medical research that the collective intelligence of the affected patients, jointly searching for a solution to improve a medical condition, can be a driver of innovation [ 14 , 15 ] that is leveraged in the innovation process known as “crowdsourcing” [ 14 , 16 ]. While traditional crowdsourcing aims at active collaboration (eg, between a pharmaceutical company and an external patient group), online forums enable a passive approach to collecting real-world data by offering relevant content for analysis, which is also called “passive crowdsourcing” [ 17 , 18 ]. For instance, researchers have analyzed data from disease-specific social media platforms to identify medications that are used outside the approved indication (off-label use) [ 10 , 19 ].…”

Hybrid Model for Unemployment Impact on Social Life

“…The literature suggests that research done on unemployment's effects on mental health show an associated stigma and a feeling of shame for the individuals involved and, furthermore, involuntary unemployment has a universal effect on affected persons' mental health [5]. The traditional research on unemployment pays great attention to numerous intervention factors such as community support in order to minimize the negative effects unemployment has on society.…”