Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram.

ABSTRACT:

Background

The content produced by individuals on various social media platforms has been successfully used to identify mental illness, including depression. However, most of the previous work in this area has focused on user-generated content, that is, content created by the individual, such as an individual's posts and pictures. In this study, we explored the predictive capability of community-generated content, that is, the data generated by a community of friends or followers, rather than by a sole individual, to identify depression among social media users.

Objective

The objective of this research was to evaluate the utility of community-generated content on social media, such as comments on an individual's posts, to predict depression as defined by the clinically valid

SUBMITTER: Ricard BJ 

PROVIDER: S-EPMC6302231 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature