Social impact assessment of scientist from mainstream news and weblogs

Abstract

Research policy makers, funding agencies, universities, and government organizations evaluate research output or impact based on the traditional citation count, peer review, h-index and journal impact factors. These impact measures also known as bibliometric indicators are limited to the academic community and cannot provide the broad perspective of research impact in public, government or business. The understanding that scholarly impact outside scientific and academic sphere has given rise to an area of scientometrics called alternative metrics or "altmetrics". Moreover, researchers in this area incline to center around gauging scientific activity via social media namely Twitter. However, these count-based measurements of impact are sensitive to gaming as they lack concrete references to the primary source. In this work, we expand a conventional citation graph to a heterogeneous graph of publications, scientists, venues, organizations based on more reliable social media sources such as mainstream news and weblogs. Our method is composed of two components: the first one is combining the bibliometric data with social media data like blogs and mainstream news. The second component investigates how standard graph-based metrics can be applied to a heterogeneous graph to predict the academic impact. Our result showed moderate correlations and positive associations between the computed graph-based metrics with academic impact and also reasonably predict the academic impact of researchers.

Implementing and assessing a service to demonstrate public impact of faculty research in news and policy sources

“…Beyond concerns regarding scalability, there were concerns regarding the extent to which social media reflects impact on society. Due to the succinct nature of social media posts, these activities often act as “pointers to research” rather than providing substantive commentary or reflection [32]. While we believe that there is value in social media analysis of public attention and interest, the scope of social media activities did not align with the intended purpose of our service.…”

A new dimension in publishing ethics: social media-based ethics-related accusations

“…Social media serves as one way to educate academics about issues in science and academics, including science publishing. Social media, in particular Twitter, is still not widely used by scientists and is being used to some extent for professional discussion and conversation, peer engagement, communication with the public and science literacy (Collins et al , 2016; Shah and Cox, 2017; Timilsina et al , 2017). Twitter has also become part of an academic’s need to seek alternative forms of dissemination, recognition and can serve as an alternative metric, or “altmetric”, with the number of Tweets related to a paper reflecting its popularity (Eysenbach, 2011; Thelwall et al , 2013; Nicholas et al , 2017; Alshahrani and Rasmussen Pennington, 2018).…”

Web Page Recommendation using Random Forest with Fire Fly Algorithm in Web Mining

“…The user faces the many problems when they interact with the websites. The consequences of data mining are rapidly developed to solve the problems with the help of developed computing techniques for various applications [1,2]. The difficult task is to identify the differentiate between interested customer and non-interested customer, where weblog is used to classify the interest of user.…”