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量化在线新闻在将保护研究与脸书和推特联系起来方面的作用。

Quantifying the role of online news in linking conservation research to Facebook and Twitter.

作者信息

Papworth S K, Nghiem T P L, Chimalakonda D, Posa M R C, Wijedasa L S, Bickford D, Carrasco L R

机构信息

Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Republic of Singapore.

Singapore Botanic Gardens, 1, Cluny Road, Singapore, 259569, Singapore.

出版信息

Conserv Biol. 2015 Jun;29(3):825-33. doi: 10.1111/cobi.12455. Epub 2015 Jan 27.

DOI:10.1111/cobi.12455
PMID:25626890
Abstract

Conservation science needs to engage the general public to ensure successful conservation interventions. Although online technologies such as Twitter and Facebook offer new opportunities to accelerate communication between conservation scientists and the online public, factors influencing the spread of conservation news in online media are not well understood. We explored transmission of conservation research through online news articles with generalized linear mixed-effects models and an information theoretic approach. In particular, we assessed differences in the frequency conservation research is featured on online news sites and the impact of online conservation news content and delivery on Facebook likes and shares and Twitter tweets. Five percent of articles in conservation journals are reported in online news, and the probability of reporting depended on the journal. There was weak evidence that articles on climate change and mammals were more likely to be featured. Online news articles about charismatic mammals with illustrations were more likely to be shared or liked on Facebook and Twitter, but the effect of news sites was much larger. These results suggest journals have the greatest impact on which conservation research is featured and that news site has the greatest impact on how popular an online article will be on Facebook and Twitter.

摘要

保护科学需要吸引普通公众参与,以确保保护干预措施取得成功。尽管推特和脸书等在线技术为加速保护科学家与在线公众之间的交流提供了新机会,但影响保护新闻在在线媒体中传播的因素尚未得到充分理解。我们使用广义线性混合效应模型和信息论方法,通过在线新闻文章探索了保护研究的传播情况。具体而言,我们评估了在线新闻网站上保护研究的报道频率差异,以及在线保护新闻内容和传播方式对脸书点赞和分享以及推特推文的影响。保护期刊中5%的文章会在在线新闻中报道,报道概率取决于期刊。有微弱证据表明,关于气候变化和哺乳动物的文章更有可能被报道。带有插图的关于魅力型哺乳动物的在线新闻文章在脸书和推特上更有可能被分享或点赞,但新闻网站的影响要大得多。这些结果表明,期刊对哪些保护研究能被报道影响最大,而新闻网站对一篇在线文章在脸书和推特上受欢迎程度的影响最大。

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