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

作　　者：聂海清 周婷[2] 蔡雨婷 曹佳 梁斌 NIE Haiqing;ZHOU Ting;CAI Yuting;CAO Jia;LIANG Bin(College of Literature and Journalism,Xiangtan University,Xiangtan Hunan 411105,China;School of Journalism and Communication,Chongqing University,Chongqing 401331,China;School of Media and Communication,Shenzhen University,Shenzhen Guangdong 518000,China)

机构地区：[1]湘潭大学文学与新闻学院,湖南湘潭411105 [2]重庆大学新闻学院,重庆401331 [3]深圳大学传播学院,广东深圳518000

出　　处：《顺德职业技术学院学报》2022年第2期49-55,共7页Journal of Shunde Polytechnic

基　　金：大学生创新创业训练计划项目(2020)。

摘　　要：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.

关 键 词：算法推荐 媒介素养 大学生 

分 类 号：G206[文化科学—传播学] G641