Privacy Protection and Bias Challenges of Algorithmic Technology in Police Anti-Fraud Propaganda

This study examines the privacy protection and bias challenges of algorithmic technology in public security anti-fraud propaganda. Through literature review and case study, it reveals the issues of data privacy and algorithmic bias, and proposes research methods. The application value of algorithms in data collection, model construction, content optimization, and platform construction is described. In view of the problems of privacy security, bias, information cocoon and transparency, the improvement paths of perfecting specification, constructing fair model, promoting information diversity and strengthening supervision are proposed to provide reference for future anti-fraud propaganda.