Volume 17, Number 1

Enhancing Public Reputation Systems: Trust Scaling to Mitigate Voter Subjectivity

  Authors

Manh Hung Nguyen, Posts and Telecommunications Institute of Technologies (PTIT), Vietnam

  Abstract

In the digital age, the reliability of public reputation systems is increasingly challenged by the subjectivity of voter assessments. This paper presents a novel public reputation estimation method that leverages a scaling trust framework to mitigate the influence of individual biases and enhance the accuracy of reputation scores. We propose a scaling mechanism that adjusts the weight of each voter’s input according to their trustworthiness, thereby reducing the impact of outlier opinions and fostering a more balanced representation of public sentiment. The experiment results demonstrate that our method significantly improves the robustness and fairness of reputation estimations compared to traditional models.

  Keywords

Reputation; Trust; Voter subjectivity; E-commerce.