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Exploring the diffusion of tweets designed to raise the road safety agenda in Saudi Arabia

机译:探索旨在提高沙特阿拉伯道路安全议程的推文的传播

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This study demonstrates the importance of understanding the diffusion process in social media such as Twitter as an example of the relationship between new media platforms and health promotion interventions. Evidence-informed tweets were developed, pilot tested and distributed to all followers of the Ministry of Health's Twitter account with the aim of influencing the agenda on road safety in Saudi Arabia. The dissemination pattern and influence of this health communication was assessed. We collected 70 tweets into two groups (29 intervention tweets and 41 additional supported tweets) extracted from the Tweetreach data set and then analysed them using Microsoft Excel and SPSS. Using the concept of innovation/imitation as defined in the Bass Model, we classified retweeting by direct followers as innovation and retweeting by users who were not followers as imitation. In the study, we identify an informative indicator of successful diffusion and propose a novel procedure to measure innovation/imitation coefficients (p and q). We also provided a statistical procedure for evaluating tweet adoption by innovators (influentials) and imitators. In addition, we also assessed the use of message design tools for new media messages. The resulting information can be used to improve public health and health promotion interventions at the levels of planning, design, implementation and evaluation.
机译:这项研究表明了理解诸如Twitter之类的社交媒体中传播过程的重要性,以此作为新媒体平台与健康促进干预措施之间关系的一个例子。制定了有据可依的推文,进行了试点测试,并将其分发给了卫生部Twitter帐户的所有关注者,目的是影响沙特阿拉伯的道路安全议程。评估了这种健康交流的传播方式和影响。我们从Tweetreach数据集中提取了70条推文,分为两组(29条干预性推文和41条其他支持的推文),然后使用Microsoft Excel和SPSS对它们进行了分析。使用Bass模型中定义的创新/模仿的概念,我们将直接关注者转发的内容归类为创新,将不关注关注者的用户的转发内容归类为模仿。在这项研究中,我们确定了成功扩散的信息指标,并提出了一种测量创新/模仿系数(p和q)的新颖方法。我们还提供了一种统计程序,用于评估创新者(影响者)和模仿者采用推文的方式。此外,我们还评估了针对新媒体消息的消息设计工具的使用。所得信息可用于在规划,设计,实施和评估的水平上改善公共卫生和健康促进干预措施。

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