The Social Impact of Algorithmic Discrimination in E-Commerce Data and the Intervention Paths of Social Work

随着电子商务的迅速发展，电商平台的数据算法对于提升购物体验以及优化运营效率方面呈现出关键功用，然而随着算法的广泛运用，算法歧视问题渐渐显现，在电商平台里，算法偏见有可能致使特定群体遭受不公平对待，加重社会不平等状况，本文剖析了电商平台中数据算法歧视的形成机制以及社会影响，并且探讨了社会工作在应对此问题时所起的作用。社会工作者借助伦理审查、数据监测、法律援助等手段，帮助电商平台改进算法设计，营造公平、透明的商业环境，维护消费者弱势群体的权益。With the rapid development of e-commerce, the data algorithms of e-commerce platforms play an important role in improving the shopping life and enhancing operational efficiency. However, this algorithm has developed along with its wide application. In the field of e-commerce, biased algorithms may treat certain groups unfairly, exacerbating social inequality. This paper analyzes the discrimination mechanism and social impact of data algorithms on e-commerce, and explores the role of social work in solving this problem. Through ethical review, data monitoring, legal consultation and other methods, social workers are improving the algorithm design on e-commerce platforms, creating a fair and transparent business environment, and protecting the rights and interests of vulnerable users.