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首页> 外文期刊>The Journal of Documentation >What do people study when they study Twitter? Classifying Twitter related academic papers
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What do 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？分类Twitter相关学术论文

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Purpose - Since its introduction in 2006, messages posted to the microblogging system Twitter have provided a rich dataset for researchers, leading to the publication of over a thousand academic papers. This paper aims to identify this published work and to classify it in order to understand Twitter based research. Design/methodology/approach - Firstly the papers on Twitter were identified. Secondly, following a review of the literature, a classification of the dimensions of microblogging research was established. Thirdly, papers were qualitatively classified using open coded content analysis, based on the paper's title and abstract, in order to analyze method, subject, and approach. Findings - The majority of published work relating to Twitter concentrates on aspects of the messages sent and details of the users. A variety of methodological approaches is used across a range of identified domains. Research limitations/implications - This work reviewed the abstracts of all papers available via database search on the term "Twitter" and this has two major implications: the full papers are not considered and so works may be misclassified if their abstract is not clear; publications not indexed by the databases, such as book chapters, are not included. The study is focussed on microblogging, the applicability of the approach to other media is not considered. Originality/value - To date there has not been an overarching study to look at the methods and purpose of those using Twitter as a research subject. The paper's major contribution is to scope out papers published on Twitter until the close of 2011. The classification derived here will provide a framework within which researchers studying Twitter related topics will be able to position and ground their work.
机译：目的-自2006年推出以来，发布到微博系统Twitter上的消息为研究人员提供了丰富的数据集，从而导致发表了上千篇学术论文。本文旨在确定已发表的作品并对其进行分类，以了解基于Twitter的研究。设计/方法/方法-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，采用开放式编码内容分析法对论文进行定性分类，以分析方法，主题和方法。调查结果-与Twitter有关的大多数已发表作品都集中在发送的消息和用户详细信息方面。在确定的范围内使用了各种方法学方法。研究的局限性/意义-这项工作回顾了通过数据库搜索“ Twitter”获得的所有论文的摘要，这有两个主要含义：不考虑全文，因此，如果摘要不明确，则可能会被误分类；不包括数据库未索引的出版物，例如书的章节。该研究集中在微博上，没有考虑该方法在其他媒体上的适用性。原创性/价值-迄今为止，还没有一项全面的研究来研究使用Twitter作为研究对象的方法和目的。该论文的主要贡献是对Twitter上直到2011年底之前发表的论文进行分类。此处得出的分类将提供一个框架，研究Twitter相关主题的研究人员将能够在该框架中定位和开展他们的工作。

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