ArticleScientific reports2026
Social image presentation of virtual sports in social media through the analysis of Twitter data.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Virtual sports have become an important site for shaping public value alignment through its social representation on digital platforms, particularly within social media environments. The current study examines public discourse on X(Twitter) surrounding virtual sports during the period from the 2021 olympic virtual series to the 2023 olympic esports week. Informed by framing theory, our methodology integrates computational approaches to analyze a dataset of 15,585 tweets. We employed topic modeling to identify salient thematic patterns and conducted sentiment analysis leveraging large language models to evaluate affective dimensions within public discourse. The study identifies six core thematic dimensions that characterize the social image of virtual sports. Although overall sentiment leans positive, the distribution across themes is uneven. Notably, the themes related to event-based mobilization exhibit a marked tendency toward negative sentiment. Overall, the study offers a systematic account of how the social image of virtual sports is presented in social media discourse, providing a valuable reference point for the future construction and communication of virtual sports’ public identity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.