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Data · dataset · 2025

Frames of Feeling: The Emotional Impact of Short- vs. Long-Form Video Across Time on Social Media

Listed in Teesside University Research Data Repository

This dataset comprises all Korean-language comments posted in 2023 on short- and long-form YouTube videos (each with ≥50 comments) from the top 100 Korean channels across 15 content categories.

Description

Each row includes video metadata (URL, category, format, view/like counts, season and holiday flags), the comment text with its KST timestamp, and detailed sentiment annotations (five emotion probabilities plus composite positive and negative scores).

By standardizing all timestamps to KST and filtering for high-engagement videos, the data support a precise analysis of how time of day and format jointly influence consumer emotions.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Text 75% · Video 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/svn7wtrxc9.217 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:textenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:videoenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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