Implementing a Web-Based Application to Support Researchers in Improving the Diversity of their Citations
Open Access
Author:
Bandaru, Venkata Sai
Area of Honors:
Computer Science
Degree:
Bachelor of Science
Document Type:
Thesis
Thesis Supervisors:
Chris Mc Comb, Thesis Supervisor Jesse Louis Barlow, Thesis Honors Advisor
Keywords:
Diversity in the references Web-application Citations Algorithms
Abstract:
Academic research papers often reference various publications to support the contents of the document. Since the number of citations is often used as a metric of academic success for researchers, it is important to avoid bias in the citations used. However, studies have identified that there tends to be a bias towards the choice of references used by individuals, owing to the history of academia that has been white male dominated. This thesis details the implementation of a web-based application that allows individuals a way to assess the diversity in the references they cite in their papers. More specifically, this thesis discusses the use of various packages and their algorithms to analyze citations and provide feedback to the user on the distribution of authors that they cite in terms of gender, race, and ethnicity. Based on the titles of the citations provided in the input, the web-application uses an API to retrieve papers of similar context and provide recommendations to the user.
