The Impact of Algorithmic Ethical Risks on College Students' Value Judgments :A Moderated Chain Mediation Model

At present, with the rapid development of artificial intelligence and large model technology, the ethical risks arising from personalized recommendation of short video platforms (such as Tiktok and Xiaohongshu) algorithms will have a negative impact on college students' value judgments. This study used a questionnaire survey method to survey 1830 college students from 20 universities, and constructed a moderated chain mediation model to analyze the impact of algorithmic ethical risks such as information narrowing, algorithmic bias, and privacy compromise on college students' value judgments. Research has found that cognitive masking and attitude polarization play a chain mediated role in the process of information narrowing affecting college students' value judgments; Media literacy plays a significant positive moderating role in the relationship between attitude polarization and college students' value judgments.