Using Altmetrics for Contextualised Mapping of Societal Impact: From Hits to Networks

N. Robinson-García, T. V. Leeuwen, Ismael Rafols
{"title":"Using Altmetrics for Contextualised Mapping of Societal Impact: From Hits to Networks","authors":"N. Robinson-García, T. V. Leeuwen, Ismael Rafols","doi":"10.2139/ssrn.2932944","DOIUrl":null,"url":null,"abstract":"In this article, we develop a method that uses altmetric data to analyse researchers’ interactions, as a way of mapping the contexts of potential societal impact. In the face of an increasing policy demand for quantitative methodologies to assess societal impact, social media data (altmetrics) has been presented as a potential method to capture broader forms of impact. However, current altmetric indicators were extrapolated from traditional citation approaches and are seen as problematic for assessing societal impact. In contrast, established qualitative methodologies for societal impact assessment are based on interaction approaches. These argue that assessment should focus on mapping the contexts in which engagement among researchers and stakeholders takes place, as a means to understand the pathways to societal impact. Following these interaction approaches, we propose to shift the use of altmetric data towards network analysis of researchers and stakeholders. We carry out two case studies, analysing researchers’ networks with Twitter data. The comparison illustrates the potential of Twitter networks to capture disparate degrees of policy engagement. We propose that this mapping method can be used as an input within broader methodologies in case studies of societal impact assessment.","PeriodicalId":388758,"journal":{"name":"SRPN: Social Media Issues (Topic)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"62","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SRPN: Social Media Issues (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2932944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 62

Abstract

In this article, we develop a method that uses altmetric data to analyse researchers’ interactions, as a way of mapping the contexts of potential societal impact. In the face of an increasing policy demand for quantitative methodologies to assess societal impact, social media data (altmetrics) has been presented as a potential method to capture broader forms of impact. However, current altmetric indicators were extrapolated from traditional citation approaches and are seen as problematic for assessing societal impact. In contrast, established qualitative methodologies for societal impact assessment are based on interaction approaches. These argue that assessment should focus on mapping the contexts in which engagement among researchers and stakeholders takes place, as a means to understand the pathways to societal impact. Following these interaction approaches, we propose to shift the use of altmetric data towards network analysis of researchers and stakeholders. We carry out two case studies, analysing researchers’ networks with Twitter data. The comparison illustrates the potential of Twitter networks to capture disparate degrees of policy engagement. We propose that this mapping method can be used as an input within broader methodologies in case studies of societal impact assessment.
使用Altmetrics进行社会影响的情境化映射:从命中到网络
在本文中,我们开发了一种方法,使用替代数据来分析研究人员的互动,作为绘制潜在社会影响背景的一种方式。面对对定量方法评估社会影响的日益增长的政策需求,社会媒体数据(替代计量)已被提出作为捕获更广泛形式的影响的潜在方法。然而,目前的替代指标是从传统的引用方法中推断出来的,在评估社会影响时被视为有问题。相比之下,社会影响评估的既定定性方法是基于相互作用的方法。他们认为,评估应该侧重于绘制研究人员和利益相关者之间参与的背景,作为理解社会影响途径的一种手段。根据这些交互方法,我们建议将替代数据的使用转向研究人员和利益相关者的网络分析。我们进行了两个案例研究,用Twitter数据分析研究人员的网络。这种对比说明了Twitter网络在捕捉不同程度的政策参与方面的潜力。我们建议,这种绘图方法可以作为社会影响评估案例研究中更广泛的方法的输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信