Research on the Risks and Strategies of 'Trust and Safety' in the Context of Platform Economy: Based on the Perspective of Fuzzy Analytic Hierarchy Process

The platform economy is centered around digital platforms, leveraging advanced capabilities in data collection, transmission, computation, processing, and algorithms to create and exchange value. It represents a new form of digital economic circulation. Compared to the traditional linear economic model, the platform economy exhibits a cyclical trend, facilitating transactions, communication, and value creation through digital platforms. Previous studies have shown that, as a space for communication across time and space, it organizes trust among individuals and determines which trust is reliable to achieve interaction and communication goals. Therefore, trustworthy security providers are crucial. Based on this, this paper constructs a risk indicator system for "Trust and Safety (T&S)", considering the contribution value of each indicator's evaluation. The Analytic Hierarchy Process (AHP) is used to calculate the weights of the indicators, and normalization is applied to conduct pairwise comparisons and provide quantitative descriptions of the different indicators. Based on the principle of maximum membership degree, a Fuzzy Analytic Hierarchy Process (FAHP) indicator system is applied. Through fuzzy evaluations by experts, a specific set is chosen from multiple fuzzy sets as the decision result. The analysis reveals that the model addresses the differences in the trust and safety impacts on the platform economy from different evaluation objects, with discourse and algorithmic mechanisms having the greatest influence on the platform economy.