Evidence map›Paper›PMID 41553420›Full record

ArticleJournal of gambling studies2026

Perceptions of Sports Betting and Promotions in the U.S.: Evidence from a Mixed-Methods Sentiment Analysis of YouTube Comments.

Kwangmi Kim, Kyungeun Park, Kyongil Yoon, Yanggon Kim

Abstract read
In one paragraph

Article in Journal of gambling studies, 2026. 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

4 authors.

Kwangmi KimDepartment of Mass Communication, Towson University, Towson, MD, 21252, USA. kkim@towson.edu.
Kyungeun ParkDepartment of Computer Studies, Notre Dame of Maryland University, Baltimore, MD, USA.
Kyongil YoonDepartment of Computer Studies, Notre Dame of Maryland University, Baltimore, MD, USA.
Yanggon KimDepartment of Computer & Information Sciences, Towson University, Towson, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines public attitudes toward sports betting and promotions in the United States by analyzing YouTube comments. Using keyword searches, 210 videos were identified, yielding 2,369 comments for analysis. A hybrid approach combining automated BERT sentiment analysis with human-coded content analysis was employed to determine overall sentiment and to identify key themes, endorsers, and sportsbook brands. Results revealed a predominance of negative and neutral sentiments, with positive sentiments least frequent. BERT detected more negative sentiments than the human-coded analysis, which indicated a more balanced distribution. Content analysis showed that positive responses were often directed at entertainment features such as humor, music, and celebrities, whereas negative responses focused on celebrity endorsements, excessive advertising exposure, and frustrations with sportsbook brands' customer services. Prominent celebrities, including Charles Barkley and Paige Spiranac, received relatively favorable comments, while Wayne Gretzky and Jamie Foxx were criticized. Larger sportsbook brands such as BetMGM, DraftKings, and FanDuel were mentioned most often but attracted more negative feedback compared with smaller brands. These findings underscore the need for advertisers to balance entertainment with responsibility, for sports betting operators to improve transparency and user experience, and for regulators to establish clearer guidelines on advertising practices. Future research should consider longitudinal approaches and extend analysis to additional social media platforms to capture evolving public attitudes toward sports betting.

Indexed as

AdvertisingGamblingPublic OpinionSocial MediaSportsHumansInternetMedia ExposureUnited StatesAdvertising and promotionPublic perceptionsSentiment analysisSocial media and gamblingSports bettingYouTube comments

Identifiers

PMID41553420
PMCPMC13269447

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.