New Forms of Ethnic Employment Discrimination in the United States Based on Big Data Algorithms and the Supervisory Role of We-Media

Abstract

This study focuses on the issue of ethnic employment discrimination in the United States. Given the limitations of traditional research methods in identifying hidden discriminatory phenomena, it innovatively uses big data algorithms to mine and analyze multi-source data from recruitment websites and job - seeking platforms. The research reveals new forms of ethnic employment discrimination in the United States in links such as job search, advertising push, and resume screening, and quantifies the impact of ethnic factors on employment opportunities. At the same time, it deeply explores the role and dilemmas faced by we - media in supervising ethnic employment discrimination. The research shows that big data algorithms provide a powerful tool for accurately identifying ethnic employment discrimination. Although we - media can expose some discriminatory behaviors, they are restricted by factors such as algorithmic black boxes and legal lag. It is necessary to coordinate with legal improvement and technological innovation to build an all - round anti - discrimination mechanism to promote the realization of ethnic employment equity in the United States.