Evidence map›Paper›PMID 39035603›Full record

ArticleFrontiers in psychiatry2024

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

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Go Eun ChoiDepartment of Digital Analytics, Yonsei University, Seoul, Republic of Korea.
Miran PyunDepartment of Communication, Yonsei University, Seoul, Republic of Korea.
So-Hee YoonDepartment of Communication, Yonsei University, Seoul, Republic of Korea.
Yeongchae KimDepartment of Digital Analytics, Yonsei University, Seoul, Republic of Korea.
Hyejin ShinDepartment of Communication, Yonsei University, Seoul, Republic of Korea.
Sang Yup LeeDepartment of Communication, Yonsei University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

brightness and saturationdeep learningmental healthviolenceYouTube

Identifiers

PMID39035603
PMCPMC11258633

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.