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User Motivations for Tweeting Research Articles: A Content Analysis Approach

机译:推特研究文章的用户动机:内容分析方法

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Nowadays Twitter is used to disseminate scientific findings to the general public, and how often research articles are tweeted is a major metric in altmetrics. So it is important to understand tweet authors' citation motivations and attitudes (or sentiments) towards the articles they cite. A content analysis approach was used to analyze 2,016 English tweets citing academic papers in the field of psychology. The results showed that most tweets (52.88%) cited articles to summarize the scientific findings of the studies. 11.81% of the tweets contained only the titles and URLs of the articles, and 19.05% of the tweets were retweets. Most tweeters held a neutral attitude towards the articles they tweeted, and only 5.15% showed negative feeling. In summary, most of the tweets do not convey in-depth critical discussion of academic papers, but they provide good access to some interesting research findings.
机译:如今推特用于向公众传播科学结果,以及促进研究文章的频率是Altmetrics的主要指标。因此,了解推文作者的引文激励和态度(或情绪)对他们引用的文章非常重要。用于分析心理学领域的学术论文的2,016名英语推文分析了内容分析方法。结果表明,大多数推文(52.88%)引用的文章总结了研究的科学结果。 11.81%的推文仅包含物品的标题和网址,19.05%的推文是转推。大多数高音扬声器对他们发推文的文章持有中立态度,只有5.15%表现出负面感。总之,大多数推文都没有传达对学术论文的深入关键讨论,但它们提供了对一些有趣的研究发现的良好访问。

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