Artificial intelligence applications in social media for depression screening: A systematic review protocol for content validity processes.

ABSTRACT:

Background

The popularization of social media has led to the coalescing of user groups around mental health conditions; in particular, depression. Social media offers a rich environment for contextualizing and predicting users' self-reported burden of depression. Modern artificial intelligence (AI) methods are commonly employed in analyzing user-generated sentiment on social media. In the forthcoming systematic review, we will examine the content validity of these computer-based health surveillance models with respect to standard diagnostic frameworks. Drawing from a clinical perspective, we will attempt to establish a normative judgment about the strengths of these modern AI applications in the detection of depression.

Methods

We will perform a systematic review of English

SUBMITTER: Owusu PN 

PROVIDER: S-EPMC8575242 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature