测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
摘要：
科学论文对其他学者工作的影响有许多既定的指标，包括基于引用计数和社交媒体评论的指标。然而，科学论文对更广泛社会的影响的确定还没有得到很好的建立。例如，科学工作具有新闻价值重要吗？在这里，我们提出了一个新的语料库的报纸文章链接到他们所描述的科学论文。我们发现，提交给英国卓越研究框架（REF）2014的影响案例研究，参考报纸文章中提到的科学论文，在REF评估中获得了更高的分数。与这些案例研究有关的论文也在报纸文章中占据显著位置。我们假设，这种突出可以是一个有用的代理社会影响。因此，我们提供了一种新的基线方法来衡量新闻文章中提到的科学论文的突出性。我们的测量突出是基于语义相似性通过基于图的排名算法。我们发现，与REF案例研究相关的科学论文更有可能获得更高的突出分数。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更广泛的非学术影响。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
