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利用社交媒体推广学术研究:探讨推特在分享学术成果方面的优势。

Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work.

机构信息

School of Government & Public Policy, University of Arizona, Tucson, AZ, United States of America.

Department of Political Science, Stony Brook University, Stony Brook, NY, United States of America.

出版信息

PLoS One. 2020 Apr 6;15(4):e0229446. doi: 10.1371/journal.pone.0229446. eCollection 2020.

DOI:10.1371/journal.pone.0229446
PMID:32251463
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7135289/
Abstract

To disseminate research, scholars once relied on university media services or journal press releases, but today any academic can turn to Twitter to share their published work with a broader audience. The possibility that scholars can push their research out, rather than hope that it is pulled in, holds the potential for scholars to draw wide attention to their research. In this manuscript, we examine whether there are systematic differences in the types of scholars who most benefit from this push model. Specifically, we investigate the extent to which there are gender differences in the dissemination of research via Twitter. We carry out our analyses by tracking tweet patterns for articles published in six journals across two fields (political science and communication), and we pair this Twitter data with demographic and educational data about the authors of the published articles, as well as article citation rates. We find considerable evidence that, overall, article citations are positively correlated with tweets about the article, and we find little evidence to suggest that author gender affects the transmission of research in this new media.

摘要

为了传播研究成果,学者们曾经依赖于大学媒体服务或期刊新闻稿,但如今,任何学者都可以转向 Twitter 来将他们的已发表作品分享给更广泛的受众。学者们可以主动推广他们的研究,而不是被动地等待研究被关注,这种可能性为学者们吸引广泛关注他们的研究提供了机会。在本文中,我们考察了在这种推送模式中受益最多的学者类型是否存在系统性差异。具体来说,我们研究了通过 Twitter 传播研究成果是否存在性别差异。我们通过跟踪六个期刊在两个领域(政治学和传播学)中发表的文章的推文模式来进行分析,并将这些 Twitter 数据与发表文章的作者的人口统计学和教育数据以及文章的引用率进行配对。我们发现有大量证据表明,总的来说,文章的引用率与关于该文章的推文呈正相关,而且我们几乎没有证据表明作者的性别会影响这种新媒体中的研究传播。

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