Evidence map›Paper›PMID 36103046›Full record

ArticleJournal of gambling studies2023

How do Gambling Providers Use the Social Network Twitter in Germany? An Explorative Mixed-Methods Topic Modeling Approach.

Johannes Singer, Vadim Kufenko, Andrea Wöhr, Marius Wuketich, Steffen Otterbach

Abstract read
In one paragraph

Article in Journal of gambling studies, 2023. 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

5 authors.

Johannes SingerGambling Research Center, University of Hohenheim, Forschungsstelle Glücksspiel (502), Schwerzstraße 44, 70599, Stuttgart, Germany. Johannes.singer@uni-hohenheim.de.ORCID http://orcid.org/0000-0002-8099-9568
Vadim KufenkoGambling Research Center, University of Hohenheim, Forschungsstelle Glücksspiel (502), Schwerzstraße 44, 70599, Stuttgart, Germany.
Andrea WöhrGambling Research Center, University of Hohenheim, Forschungsstelle Glücksspiel (502), Schwerzstraße 44, 70599, Stuttgart, Germany.
Marius WuketichGambling Research Center, University of Hohenheim, Forschungsstelle Glücksspiel (502), Schwerzstraße 44, 70599, Stuttgart, Germany.
Steffen OtterbachGambling Research Center, University of Hohenheim, Forschungsstelle Glücksspiel (502), Schwerzstraße 44, 70599, Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the social media activities of gambling providers in Germany, focusing on the platform Twitter. A collection of 34.151 tweets from 13 Twitter accounts was made, representing casinos, sports betting, state lotteries, social lotteries and lottery brokers. We apply an explorative mixed-methods approach, integrating a summative content analysis together with a semi-supervised guided topic modeling approach, to analyse frequency, number of followers, interaction and content of Twitter messages, and work out differences among the individual providers. The results show that Twitter does not seem to be particularly important for gambling providers who are active in Germany. Regarding outreach, frequency of tweets and interaction, Twitter plays a much smaller role than, for example, in the UK. The potential for Twitter to be an advertising, marketing and interaction channel has not yet been fully exploited, which would make it a perfect moment for developing an appropriate regulatory framework. Overall, the results of semi-supervised topic modeling show that providers most often use informative content (news) and combine it with other, usually less neutral content. It is alarming that many providers make little or no use of Responsible Gambling messages. Even though the activities are presently on a low level, they contribute to the normalization of gambling, setting incentives for increasing gambling participation. Children and youth form a large segment of Twitter users. Potential harm can arise especially for this group because of the lack of enforcement of any age limit.

Indexed as

GamblingSocial MediaAdolescentAdvertisingChildGermanyHumansSocial NetworkingAdvertisingGamblingMarketingSemi-supervised topic modelingSocial mediaTwitter

Identifiers

PMID36103046
PMCPMC9472740

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.