Methodologies for Monitoring Mental Health on Twitter: Systematic Review.

ABSTRACT:

Background

The use of social media data to predict mental health outcomes has the potential to allow for the continuous monitoring of mental health and well-being and provide timely information that can supplement traditional clinical assessments. However, it is crucial that the methodologies used to create models for this purpose are of high quality from both a mental health and machine learning perspective. Twitter has been a popular choice of social media because of the accessibility of its data, but access to big data sets is not a guarantee of robust results.

Objective

This study aims to review the current methodologies used in the literature for predicting mental health outcomes from Twitter data, with a focus on the quality of the underlying mental health data and the

SUBMITTER: Di Cara NH 

PROVIDER: S-EPMC10203928 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature