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赌博提供商在德国如何利用社交媒体 Twitter?一种探索性混合方法主题建模方法。

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

机构信息

Gambling Research Center, University of Hohenheim, Forschungsstelle Glücksspiel (502), Schwerzstraße 44, 70599, Stuttgart, Germany.

Institute for Health Care & Public Management, University of Hohenheim, 70599, Stuttgart, Germany.

出版信息

J Gambl Stud. 2023 Sep;39(3):1371-1398. doi: 10.1007/s10899-022-10158-y. Epub 2022 Sep 14.

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.

摘要

本研究考察了德国博彩提供商的社交媒体活动,重点关注 Twitter 平台。从 13 个 Twitter 账户中收集了 34151 条推文,代表了赌场、体育博彩、国家彩票、社交彩票和彩票经纪人。我们采用了一种探索性的混合方法,将总结性内容分析与半监督引导主题建模方法相结合,分析了 Twitter 消息的频率、关注者数量、互动和内容,并计算了各个提供商之间的差异。研究结果表明,Twitter 对在德国活跃的博彩提供商来说似乎并不特别重要。就推广、推文频率和互动而言,Twitter 的作用远不及英国。Twitter 作为广告、营销和互动渠道的潜力尚未得到充分利用,这为制定适当的监管框架提供了绝佳机会。总体而言,半监督主题建模的结果表明,提供商最常使用信息性内容(新闻),并将其与其他通常不那么中立的内容结合起来。令人担忧的是,许多提供商很少或根本没有使用负责任博彩信息。尽管目前的活动水平较低,但它们有助于赌博的正常化,为增加赌博参与度提供了激励。青少年是 Twitter 用户的一个重要群体。由于缺乏对任何年龄限制的执行,这个群体尤其容易受到潜在伤害。

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4
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5
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