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为什么医学研究文章会在推特上发布?新闻价值视角。

Why are medical research articles tweeted? The news value perspective.

作者信息

Htoo Tint Hla Hla, Jin-Cheon Na, Thelwall Michael

机构信息

Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.

Statistical Cybermetrics Research Group, University of Wolverhampton, Wolverhampton, UK.

出版信息

Scientometrics. 2023;128(1):207-226. doi: 10.1007/s11192-022-04578-1. Epub 2022 Nov 14.

Abstract

Counts of tweets mentioning research articles are potentially useful as social impact altmetric indicators, especially for health-related topics. One way to help understand what tweet counts indicate is to find factors that associate with the number of tweets received by articles. Using news value theory, this study examined six characteristics of research papers that may cause some articles to be more tweeted than others. For this, we manually coded 300 medical journal articles about COVID-19. A statistical analysis showed that all six factors that make articles more newsworthy according to news value theory (importance, controversy, elite nations, elite persons, scale, news prominence) associated with higher tweet counts. Since these factors are hypothesised to be general human news selection criteria, the results give new evidence that tweet counts may be indicators of general interest to members of society rather than measures of societal impact. This study also provides a new understanding of the strong positive relationship between news mentions and tweet counts for articles. Instead of news coverage attracting tweets or the other way round (journalists noticing highly tweeted articles and writing about them), the results are consistent with newsworthy characteristics of articles attracting both tweets and news mentions.

摘要

提及研究文章的推文计数有可能作为社会影响替代计量指标,尤其对于健康相关主题而言。帮助理解推文计数所代表含义的一种方法是找出与文章所获推文数量相关的因素。本研究运用新闻价值理论,考察了研究论文的六个特征,这些特征可能导致某些文章比其他文章更受关注。为此,我们人工编码了300篇关于新冠疫情的医学期刊文章。统计分析表明,根据新闻价值理论,使文章更具新闻价值的所有六个因素(重要性、争议性、精英国家、精英人物、规模、新闻显著性)都与更高的推文计数相关。由于这些因素被假定为人类普遍的新闻选择标准,研究结果提供了新的证据,表明推文计数可能是社会成员普遍兴趣的指标,而非社会影响的衡量标准。本研究还对文章的新闻提及与推文计数之间的强正相关关系提供了新的理解。结果并非是新闻报道吸引了推文,或者反之(记者注意到被大量转发的文章并进行报道),而是与文章的新闻价值特征吸引了推文和新闻提及这一观点相一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3714/9660108/28ea40d5496c/11192_2022_4578_Fig1_HTML.jpg

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