Evidence map›Paper›PMID 37680247›Full record

ArticleFrontiers in psychology2023

Missed a live match? Determinants of League of Legends Champions Korea highlights viewership.

Yoonji Ryu, Hui Hwang, Jaehyun Jeong, Wonseok Jang, Gyemin Lee, Hyunwoong Pyun

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yoonji RyuCollege of Sport Science, Sungkyunkwan University, Suwon-si, Republic of Korea.
Hui HwangCollege of Sport Science, Sungkyunkwan University, Suwon-si, Republic of Korea.
Jaehyun JeongCollege of Sport Science, Sungkyunkwan University, Suwon-si, Republic of Korea.
Wonseok JangCollege of Sport Science, Sungkyunkwan University, Suwon-si, Republic of Korea.
Gyemin LeeDepartment of Smart ICT Convergence Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea.
Hyunwoong PyunCollege of Sport Science, Sungkyunkwan University, Suwon-si, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to explore the determinants of the League of Legends Champions Korea (LCK) highlight views and comment counts. The data of 629 game highlight views and comment counts for seven tournaments were collected from YouTube. The highlight views and comment counts were regressed on a series of before-the-game factors (outcome uncertainty and game quality), after-the-game factors (sum and difference of kills, assists, multiple kills, and upset results), and match-related characteristics (game duration, evening game, and clip recentness). A multi-level least square dummy variable regression was conducted to test the model. Among the before-the-game factors, outcome uncertainty and game quality were significantly associated with highlight views and comment counts. This indicated that fans liked watching games with uncertain outcomes and those involving high-quality teams. Among the after-the-game factors, an upset result was a significant determinant of esports highlight views and comment counts. Thus, fans enjoy watching underdogs win. Finally, the sum of kills and assists only affected view counts, which indicated that fans prefer watching offensive games with more kills and a solo performance rather than teamwork.

Indexed as

esportshighlight viewershipLeague of LegendsLeague of Legends Champions Koreaoutcome uncertaintyupset resultYouTube

Identifiers

PMID37680247
PMCPMC10481709

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.