算法推荐视域下大学生网络伦理问题及应对策略

Online Ethics Issues and Countermeasures for College Students in Algorithmic Recommendation

摘要: 算法推荐利用数据建模技术深刻影响着大学生的认知与行为，技术赋能与市场利益驱动的交织，加剧了大学生网络伦理问题产生的风险。当前，算法推荐下由于算法黑箱与技术异化的运作、商业利益至上的价值导向以及大学生网络伦理素养的不足，大学生网络伦理问题主要体现在信息茧房导致认知失序、算法依赖弱化自主能力、算法偏见传递不良价值观三个方面。算法时代如何有效应对大学生网络伦理问题，应发挥社会主流价值共识的引导、强化高校教育赋能的培育、完善算法向善伦理约束机制构建、加强大学生网络自律意识的培养等多维调适路径，助力培育担当民族复兴大任的时代新人。

Abstract: Leveraging data modeling techniques, algorithmic recommendation profoundly influences the cognition and behavior of college students. The intertwining of technological empowerment and market-driven profit motives exacerbates the risk of online ethical issues among college students. At present, due to the operation of algorithmic black boxes and technological alienation, the value orientation prioritizing commercial interests, and the insufficient online ethical literacy of college students, the ethical issues faced by college students under algorithmic recommendation mainly manifest in three aspects: information cocoons leading to cognitive disorder, algorithmic dependence weakening autonomous capabilities, and algorithmic biases transmitting undesirable values. To effectively address these online ethical issues in the age of algorithms, it is essential to adopt a multi-dimensional regulatory approach, including leveraging the guiding role of social mainstream value consensus, strengthening the nurturing function of higher education, improving the construction of ethics-oriented algorithmic restraint mechanisms, and enhancing the cultivation of college students’ awareness of online self-discipline, thereby helping to cultivate a new generation capable of undertaking the mission of national rejuvenation.