Department of Journalism and Communication Studies, Universitat Autonoma de Barcelona, Barcelona, Spain.
Department of Psychology and Sociology, Universidad de Zaragoza, Zaragoza, Spain.
PLoS One. 2018 Aug 29;13(8):e0203117. doi: 10.1371/journal.pone.0203117. eCollection 2018.
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.
研究的社会影响通常通过研究支持下产生的科学成果进行分析。社交媒体中学术内容的增长以及研究人员使用替代计量学来跟踪他们的工作,这为评估研究的影响提供了便利。然而,在识别公民在社交媒体平台上分享的社会影响证据方面存在差距。本文应用社交媒体中的社会影响方法(SISM)来识别研究在社交媒体上(特别是在 Twitter 和 Facebook 上)分享的潜在或实际社会影响的定量和定性证据。我们定义社会影响覆盖率比(SICOR),以确定与特定研究项目相关的社交媒体数据总量相比,提供潜在或实际社会影响信息的推文和 Facebook 帖子的百分比。我们选择了 10 个不同知识领域的项目来计算 SICOR,结果表明,收集的推文和 Facebook 帖子中有 0.43%提供了与社会影响信息相关的链接。然而,我们的分析表明,一些项目在社交媒体上分享了很高比例(4.98%)的社会影响证据,而其他项目则没有。提供了定量和定性社会影响证据的示例来说明这些结果。一个普遍的发现是,研究的社会影响的新证据可以在社交媒体中找到,社交媒体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兴趣的相关平台。因此,社交媒体用户被视为使社会影响证据可见并进行评估的中介。