论文标题
衡量在线新闻中科学工作的突出性作为影响力的代理
Measuring prominence of scientific work in online news as a proxy for impact
论文作者
论文摘要
科学论文对其他学者的工作产生的影响有许多已建立的指标，包括基于引文数量和社交媒体评论的指标。但是，确定科学论文对更广泛社会的影响的确定性较低。例如，对于科学工作来说，具有新闻价值很重要？在这里，我们介绍了与他们描述的科学论文有关的新报纸文章。我们发现，提交给英国研究卓越研究框架（Ref）2014的影响案例研究是指报纸文章中提到的科学论文在参考评估中获得了更高的评分。与这些案例研究相关的论文在报纸文章中也很重要。我们假设这种突出性可能是社会影响的有用代理。因此，我们提供了一种新颖的基线方法来衡量新闻文章中提到的科学论文的突出性。我们对突出的测量是基于语义相似性，通过基于图的排名算法。我们发现，具有相关参考案例研究的科学论文更有可能具有更强的突出评分。这支持了我们的假设，即新闻中的语言突出性可以用来暗示科学工作的更广泛的非学术影响。
The impact made by a scientific paper on the work of other academics has many established metrics, including metrics based on citation counts and social media commenting. However, determination of the impact of a scientific paper on the wider society is less well established. For example, is it important for scientific work to be newsworthy? Here we present a new corpus of newspaper articles linked to the scientific papers that they describe. We find that Impact Case studies submitted to the UK Research Excellence Framework (REF) 2014 that refer to scientific papers mentioned in newspaper articles were awarded a higher score in the REF assessment. The papers associated with these case studies also feature prominently in the newspaper articles. We hypothesise that such prominence can be a useful proxy for societal impact. We therefore provide a novel baseline approach for measuring the prominence of scientific papers mentioned within news articles. Our measurement of prominence is based on semantic similarity through a graph-based ranking algorithm. We find that scientific papers with an associated REF case study are more likely to have a stronger prominence score. This supports our hypothesis that linguistic prominence in news can be used to suggest the wider non-academic impact of scientific work.
