Machine learning and natural language processing to assess the emotional impact of influencers' mental health content on Instagram.

ABSTRACT:

Background

This study aims to examine, through artificial intelligence, specifically machine learning, the emotional impact generated by disclosures about mental health on social media. In contrast to previous research, which primarily focused on identifying psychopathologies, our study investigates the emotional response to mental health-related content on Instagram, particularly content created by influencers/celebrities. This platform, especially favored by the youth, is the stage where these influencers exert significant social impact, and where their analysis holds strong relevance. Analyzing mental health with machine learning techniques on Instagram is unprecedented, as all existing research has primarily focused on Twitter.

Methods

This research involves creating a n

SUBMITTER: Merayo N 

PROVIDER: S-EPMC11419624 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature