算法推荐场域中乡村主流意识形态风险及其防范  被引量:1

On the Risk and its Prevention of Rural Mainstream Ideological Dissemination in the Field of Algorithm Recommendation

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作  者:代晓利 陈雨璇 DAI Xiao-li;CHEN Yu-xuan(College of Information Engineering,Fuyang Nomal University,Fuyang,Anhui,236041,China;School of Chinese Language and Literature,Fuyang Normal University,Fuyang,Anhui,236037,China)

机构地区:[1]阜阳师范大学信息工程学院,安徽阜阳236041 [2]阜阳师范大学文学院,安徽阜阳236037

出  处:《盐城师范学院学报(人文社会科学版)》2023年第6期8-16,共9页Journal of Yancheng Teachers University(Humanities & Social Sciences Edition)

基  金:安徽省高校哲学社会科学研究重点项目“算法推荐场域下主流意识形态传播及风险防范体系构建研究”(2023AH052847)。

摘  要:算法推荐技术被广泛应用于信息的采集、生产、分发、推荐、反馈各个环节,可能影响意识形态领域安全。在乡村社会,算法推荐深刻影响着农民群体的信息接受与传播行为,导致乡村主流意识形态话语原本拥有的注意力被分割,面临引领力被削弱、整合力被消融、凝聚力被消解的风险。防范乡村主流意识形态传播风险,必须用主流价值导向驾驭算法,推进算法推荐技术与主流媒体深度融合,以法律制度规范算法权力,培育农民算法素养,从多个维度开展乡村主流意识形态风险协同治理,确保主流意识形态在竞争中处于主导地位,推动中国特色社会主义事业稳步发展。Algorithm recommendation technology is widely used in various aspects of information collection,production,distribution,recommendation and feedback,which exert great influence on the security of ideology.In rural society,algorithm recommendation has a profound impact on the information acceptance and dissemination of farmers,leading to the segmentation of the dominance originally possessed by the mainstream ideological discourse in rural areas,and the subsequent risks of weakening leadership,dominance and cohesion.In order to prevent the risks in the process of mainstream ideological dissemination in rural areas,it is necessary to use mainstream value to guide algorithm,promoting the deep integration of algorithm recommendation technology with mainstream media,regulating algorithm power through legal system,cultivating farmers’algorithm literacy,carrying out collaborative management of risks to safeguard mainstream ideology in rural areas from multiple dimensions,so as to ensure its dominant position in competition,and promote the steady development of socialism with Chinese characteristics.

关 键 词:算法推荐 主流意识形态 农村用户 算法素养 

分 类 号:D64[政治法律—政治学] G206.3[政治法律—中外政治制度]

 

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