Promotional Language and the Adoption of Innovative Ideas in Science

Hao Peng, Huilian Sophie Qiu, Henrik Barslund Fosse, Brian Uzzi
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Abstract

How are the merits of innovative ideas communicated in science? Here we conduct semantic analyses of grant application success with a focus on scientific promotional language, which has been growing in frequency in many contexts and purportedly may convey an innovative idea's originality and significance. Our analysis attempts to surmount limitations of prior studies by examining the full text of tens of thousands of both funded and unfunded grants from three leading public and private funding agencies: the NIH, the NSF, and the Novo Nordisk Foundation, one of the world's largest private science foundations. We find a robust association between promotional language and the support and adoption of innovative ideas by funders and other scientists. First, the percentage of promotional language in a grant proposal is associated with up to a doubling of the grant's probability of being funded. Second, a grant's promotional language reflects its intrinsic level of innovativeness. Third, the percentage of promotional language predicts the expected citation and productivity impact of publications that are supported by funded grants. Lastly, a computer-assisted experiment that manipulates the promotional language in our data demonstrates how promotional language can communicate the merit of ideas through cognitive activation. With the incidence of promotional language in science steeply rising, and the pivotal role of grants in converting promising and aspirational ideas into solutions, our analysis provides empirical evidence that promotional language is associated with effectively communicating the merits of innovative scientific ideas.
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宣传语言与科学创新理念的采用
科学界是如何传播创新思想的优点的?在此,我们对资助申请成功与否进行了语义分析,重点是科学宣传用语,这种用语在许多语境中出现的频率越来越高,据称可以传达创新思想的独创性和重要性。我们的分析试图克服以往研究的局限性,对三家主要的公共和私人资助机构--美国国立卫生研究院(NIH)、美国国家科学基金会(NSF)和诺和诺德基金会(全球最大的私人科学基金会之一)--的数以万计获得资助和未获资助的赠款全文进行了研究。我们发现,宣传性语言与资助者和其他科学家对创新想法的支持和采纳之间存在密切联系。首先,资助提案中宣传性语言所占的比例可使资助项目获得资助的概率提高一倍。第三,推广性语言的比例可以预测获得资助的出版物的预期引用率和生产力影响。最后,我们通过计算机辅助实验,对数据中的推广性语言进行了操作,证明了推广性语言是如何通过激活认知来传达想法的价值的。我们的分析提供了实证证据,证明推广性语言与有效传播创新科学思想的优点有关。
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