Applications of artificial intelligence to identify fake accounts: Psychological and legal aspects

Abstract

This article analyzes the threats posed by the proliferation of fake accounts in today's information society. The authors consider the history of the emergence and development of this problem, as well as the ways proposed by governments and the international scientific community to address it. In search of a viable solution, they compare various methods for limiting the spread of fake accounts. They suggest using artificial intelligence technology as a promising alternative. As a training basis for AI, the authors propose analyzing the behavioral motivations of those who create fake accounts, in order to utilize a trained behavioral analytics system to combat fakes automatically. Along with key principles for using behavioral metrics, the authors provide various examples that illustrate the feasibility and effectiveness of their proposed solution. Special attention is paid to the legal aspects of implementing the proposed solution, as the process of detecting fake accounts is intricately linked to the processing of biometric and other personal data. The requirements for the storage and processing of personal data are becoming stricter every year. Therefore, in order to limit the spread of fake accounts, it is essential to find a solution that complies with information legislation.