Improving the Trust Measuring on Social Networks Based on Ontology

In today’s world, as information technology continues to advance, an increasing number of individuals are utilizing social networking platforms, such as Facebook, to establish and cultivate relationships. Nonetheless, given the diversity and large amount of users, many individuals are understandably concerned about the credibility of their friends on Facebook. Hence, this article seeks to evaluate trustworthiness by examining various user interactions on Facebook, such as relationship level, workplace, interests, and connections with others. By synthesizing and analyzing commonly used truth formulas, this paper also proposes enhancements to the existing truth algorithm.