Exploring the relationship between YouTube video characteristics and a viewer’s mental health traits among young adults

Go Eun Choi, Miran Pyun, So Hee Yoon, Yeongchae Kim, Hyejin Shin, Sang Yup Lee

Research output: Contribution to journalArticlepeer-review

Abstract

We investigated the relationship between individuals’ mental health traits and the characteristics of YouTube videos they watch. The mental health traits considered were stress, depression, anxiety, and self-esteem, which were measured using a survey questionnaire. We considered violence shown in a video, brightness and saturation of a video as video characteristics. We utilized the viewing history log data of the participants and analyzed the videos they watched on YouTube using computer vision techniques based on deep learning algorithms. The results revealed that viewers’ consumption of violent videos was positively related to stress, depression, and anxiety, but negatively related to self-esteem. Individuals with higher levels of stress, depression, or anxiety tended to view darker videos than those with lower levels of stress, depression, or anxiety.

Original languageEnglish
Article number1364930
JournalFrontiers in Psychiatry
Volume15
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
Copyright © 2024 Choi, Pyun, Yoon, Kim, Shin and Lee.

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health

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