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

Bibliographic Data

ID15516870
AuthorsGo Eun Choi (0000-0002-6852-907X, Yonsei University), Miran Pyun (0009-0006-0155-9385, Yonsei University), So-Hee Yoon (Yonsei University), Yeongchae Kim (Yonsei University), Hyejin Shin (0000-0002-6225-1193, Yonsei University), Sang Yup Lee (0000-0002-8869-8428, Yonsei University, corresponding author)
Year2024
Volume15
Pages1364930-1364930
Publication date2024-07-05
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2024.1364930
PMID39035603
OpenAlexW4400359250
LanguageEN
References cited24

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

Anxiety · DASS · Depression (economics · Mental health · Psychiatry · Stress (linguistics · Clinical Psychology · Digital Mental Health Interventions · Impact of Technology on Adolescents · Media Influence and Health · Psychology

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