Schmitt Marco, Jäschke Robert
Institute of Sociology, RWTH Aachen University, Aachen, Germany.
Information School, University of Sheffield, Sheffield, United Kingdom.
PLoS One. 2017 Jun 21;12(6):e0179630. doi: 10.1371/journal.pone.0179630. eCollection 2017.
Twitter communication has permeated every sphere of society. To highlight and share small pieces of information with possibly vast audiences or small circles of the interested has some value in almost any aspect of social life. But what is the value exactly for a scientific field? We perform a comprehensive study of computer scientists using Twitter and their tweeting behavior concerning the sharing of web links. Discerning the domains, hosts and individual web pages being tweeted and the differences between computer scientists and a Twitter sample enables us to look in depth at the Twitter-based information sharing practices of a scientific community. Additionally, we aim at providing a deeper understanding of the role and impact of altmetrics in computer science and give a glance at the publications mentioned on Twitter that are most relevant for the computer science community. Our results show a link sharing culture that concentrates more heavily on public and professional quality information than the Twitter sample does. The results also show a broad variety in linked sources and especially in linked publications with some publications clearly related to community-specific interests of computer scientists, while others with a strong relation to attention mechanisms in social media. This refers to the observation that Twitter is a hybrid form of social media between an information service and a social network service. Overall the computer scientists' style of usage seems to be more on the information-oriented side and to some degree also on professional usage. Therefore, altmetrics are of considerable use in analyzing computer science.
推特交流已渗透到社会的各个领域。在几乎社会生活的任何方面,突出并与可能数量众多的受众或小范围的感兴趣者分享少量信息都具有一定价值。但对于科学领域而言,其确切价值是什么呢?我们对使用推特的计算机科学家及其分享网页链接的推特行为进行了全面研究。辨别被推特的域名、主机和单个网页,以及计算机科学家与推特样本之间的差异,使我们能够深入探究一个科学社区基于推特的信息分享实践。此外,我们旨在更深入地理解替代计量学在计算机科学中的作用和影响,并浏览推特上提及的与计算机科学社区最相关的出版物。我们的研究结果显示,一种链接分享文化,相较于推特样本,它更侧重于公共和专业质量的信息。结果还表明,链接来源种类繁多,尤其是链接出版物,其中一些出版物明显与计算机科学家的特定社区兴趣相关,而另一些则与社交媒体中的关注机制有很强的关联。这指的是这样一种观察结果,即推特是介于信息服务和社交网络服务之间的一种混合形式的社交媒体。总体而言,计算机科学家的使用风格似乎更偏向以信息为导向,在某种程度上也偏向专业使用。因此,替代计量学在分析计算机科学方面具有相当大的用途。