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Social impact in social media: A new method to evaluate the social impact of research

机译:社交媒体中的社会影响:一种评估研究的社会影响的新方法

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摘要

The social impact of research has usually been analysed through the scientific outcomes produced under the auspices of the research. The growth of scholarly content in social media and the use of altmetrics by researchers to track their work facilitate the advancement in evaluating the impact of research. However, there is a gap in the identification of evidence of the social impact in terms of what citizens are sharing on their social media platforms. This article applies a social impact in social media methodology (SISM) to identify quantitative and qualitative evidence of the potential or real social impact of research shared on social media, specifically on Twitter and Facebook. We define the social impact coverage ratio (SICOR) to identify the percentage of tweets and Facebook posts providing information about potential or actual social impact in relation to the total amount of social media data found related to specific research projects. We selected 10 projects in different fields of knowledge to calculate the SICOR, and the results indicate that 0.43% of the tweets and Facebook posts collected provide linkages with information about social impact. However, our analysis indicates that some projects have a high percentage (4.98%) and others have no evidence of social impact shared in social media. Examples of quantitative and qualitative evidence of social impact are provided to illustrate these results. A general finding is that novel evidences of social impact of research can be found in social media, becoming relevant platforms for scientists to spread quantitative and qualitative evidence of social impact in social media to capture the interest of citizens. Thus, social media users are showed to be intermediaries making visible and assessing evidence of social impact.
机译:通常通过在研究主持下产生的科学成果来分析研究的社会影响。社交媒体中学术内容的增长以及研究人员使用高度测量来跟踪其工作,促进了评估研究影响的进步。但是,就公民在其社交媒体平台上分享的内容而言,在确定对社会影响的证据方面存在差距。本文运用社交媒体方法学(SISM)中的社交影响力来确定定量和定性证据,以证明在社交媒体(尤其是Twitter和Facebook)上共享研究的潜在或实际社交影响。我们定义了社会影响覆盖率(SICOR),以识别提供有关潜在或实际社会影响的信息的推文和Facebook帖子所占的百分比,这些信息相对于与特定研究项目相关的社交媒体数据的总量。我们选择了10个不同知识领域的项目来计算SICOR,结果表明0.43%的推文和Facebook帖子提供了与社会影响信息的联系。但是,我们的分析表明,一些项目所占的比例很高(4.98%),而另一些项目则没有在社交媒体上分享社会影响的证据。提供了社会影响的定量和定性证据示例,以说明这些结果。一个普遍的发现是,可以在社交媒体上找到研究的社会影响的新颖证据,成为科学家在社交媒体上传播社会影响的定量和定性证据以吸引公民利益的相关平台。因此,社交媒体用户被证明是使社会影响可见和评估的中介。

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