Longitudinal Study of a Website for Assessing American Presidential Candidates and decision Making of Potential election Irregularities detection

Abstract

The authors employ the concept of word sense disambiguation to determine the inherent meaning of voter intentions regarding possible political candidates from the 2016 Presidential election. They present the findings based on a website (www.presidentselect.com) that they developed, where candidates can be examined and their true assets and competencies in three major areas of eligibility, education, and experience can be deciphered. Data envelope analysis is used to determine underlying word instances for elected and successful outputs. They also utilize the web site results to longitudinally extend these findings for decision making of potential election fraud detection in the 2020 Presidential election, utilizing Benford’s Law. The results shed light on these phenomena and provide new insights into the word sense disambiguation literature.