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What people study when they study Twitter: classifying Twitter related academic papers

机译:人们在学习Twitter时会学习什么:对Twitter相关的学术论文进行分类

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摘要

PURPOSE: udSince its introduction in 2006, messages posted to the microblogging systemudTwitter have provided a rich dataset for researchers, leading to the publicationudof over a thousand academic papers. This paper aims to identify this publishedudwork and to classify it in order to understand Twitter based research.udDESIGN/METHODOLOGY/APPROACH:udFirstly the papers on Twitter were identified. Secondly, following a review of theudliterature, a classification of the dimensions of microblogging research wasudestablished. Thirdly, papers were qualitatively classified using open codedudcontent analysis, based on the paper’s title and abstract, in order to analyzeudmethod, subject, and approach.udFINDINGS:udThe majority of published work relating to Twitter concentrates on aspects ofudthe messages sent and details of the users. A variety of methodologicaludapproaches are used across a range of identified domains.udRESEARCH LIMITATIONS/IMPLICATIONS:udThis work reviewed the abstracts of all papers available via database search onudthe term “Twitter” and this has two major implications: 1) the full papers are notudconsidered and so works may be misclassified if their abstract is not clear, 2)udpublications not indexed by the databases, such as book chapters, are notudincluded.udORIGINALITY/VALUE:udTo date there has not been an overarching study to look at the methods andudpurpose of those using Twitter as a research subject. Our major contribution is toudscope out papers published on Twitter until the close of 2011. The classificationudderived here will provide a framework within which researchers studyingudTwitter related topics will be able to position and ground their workud
机译:目的: ud自2006年推出以来,张贴到微博系统的消息 udTwitter为研究人员提供了丰富的数据集,导致发表了 ud超过一千篇学术论文。本文旨在识别此已发表的 udwork并对其进行分类,以便理解基于Twitter的研究。 udDESIGN / METHODOLOGY / APPROACH: ud首先确定Twitter上的论文。其次,在对文献进行回顾之后,对微博研究的维度进行了分类。第三,基于论文的标题和摘要,使用开放代码 udcontent分析对论文进行定性分类,以分析 udmethod,主题和方法。 udFINDSS: ud与Twitter有关的大部分已发表工作都集中在 udthe发送的消息和用户的详细信息。 ud方法研究的局限性/含意: ud这项工作回顾了通过数据库搜索在“ Twitter”上可获得的所有论文的摘要,这有两个主要含义:1)完整的论文没有被 ud考虑,因此,如果论文的摘要不清晰,可能会被误分类; 2)未被数据库索引的未出版的出版物,例如书的章节,没有被 udincluded。 udORIGINALITY / VALUE: ud至今并不是将Twitter作为研究主题的方法和用途的总体研究。我们的主要贡献是精简了直到2011年底在Twitter上发表的论文。这里的分类提供的框架将为研究 udTwitter相关主题的研究人员提供一个框架,使他们能够定位和扎根他们的工作 ud

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