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Accepted for/Published in: JMIR Mental Health

Date Submitted: Nov 25, 2019
Date Accepted: Mar 2, 2020

The final, peer-reviewed published version of this preprint can be found here:

Analyzing Trends of Loneliness Through Large-Scale Analysis of Social Media Postings: Observational Study

Mazuz K, Yom-Tov E

Analyzing Trends of Loneliness Through Large-Scale Analysis of Social Media Postings: Observational Study

JMIR Ment Health 2020;7(4):e17188

DOI: 10.2196/17188

PMID: 32310141

PMCID: 7199140

Analyzing trends of loneliness through large-scale analysis of social media postings: Observational study

  • Keren Mazuz; 
  • Elad Yom-Tov

ABSTRACT

Background:

Loneliness has become a public health problem described as an epidemic and it has been argued that digital behavior such as social media postings affects loneliness.

Objective:

The aim of the study is to expand the knowledge on the determinants of loneliness by investigating online postings in a social media forum devoted to loneliness.

Methods:

We collected a total of 19,668 postings from 11,054 users on the loneliness forum on Reddit. We asked 7 crowdsourced workers to imagine themselves as writing one of 236 randomly chosen posts and administered the short-form UCLA Loneliness Scale (ULS-6) to them. After showing that these postings could provide an assessment of loneliness, we built a predictive model for loneliness scores based on posting text and applied it to all postings. We then analyzed trends in loneliness postings over time and the correlates of loneliness with other topics of interest.

Results:

Our results show that high degrees of loneliness are strongly associated with suicidality (HR=1.66) and with other detrimental behaviors such as depression and illicit drug use. Our data demonstrates that people who are lonely come from a diversity of demographics and interests.

Conclusions:

The results demonstrate the multidimensional nature of online loneliness and suggest new directions for future studies.


 Citation

Please cite as:

Mazuz K, Yom-Tov E

Analyzing Trends of Loneliness Through Large-Scale Analysis of Social Media Postings: Observational Study

JMIR Ment Health 2020;7(4):e17188

DOI: 10.2196/17188

PMID: 32310141

PMCID: 7199140

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