算法推荐机制下媒介素养缺失现状及提升策略——以湖南高校为例

Current Situation and Promotion Strategy of Lack of Media Literacy under Algorithm Recommendation Mechanism:a Case Study of Universities in Hunan Province

算法正以其精准投放的巨大优势构成媒体平台的核心竞争力之一,改变着整体的信息分发格局。但同时,算法推荐机制由于其推荐策略——个性化推荐、关联性推荐和单因子推荐也给大学生带来了信息认知偏差、知识体系缺失、理解能力不足等问题。基于此,应从个体、学校、社会层面协同提升大学生群体的媒介素养。

Algorithms are constituting one of the core competitiveness of media platforms with their huge advantages of precise delivery,changing the overall information distribution pattern.However,at the same time,the algorithm recommendation mechanism also brings problems such as information cognitive bias,lack of knowledge system,and insufficient comprehension ability to college students due to its recommendation strategies,namely personalized recommendation,correlation recommendation and one-factor recommendation.Based on this,the media literacy of college students should be improved from the individual,school,and social levels.