首页|算法推荐场域下铸牢中华民族共同体意识的机遇、挑战与对策

算法推荐场域下铸牢中华民族共同体意识的机遇、挑战与对策

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互联网进化至以智能化数据分析为底基的时代,在未有人工干预的视界下群体心理的塑造逐渐被更为隐性的算法推荐所把控.一方面算法推荐降低了信息冗余和信息过载,提高了内容供给的精准度,有利于高效利用铸牢中华民族共同体意识中的优势资源;另一方面在算法推荐的隐形操作下,现实世界中因各种缘由被潜藏起来的各族民众的个性偏好,被赋予"理所应当"的存在意义,个人社交新闻传播媒介成为个性偏好发展的自留地,极易加高各族民众心理壁垒,阻碍主流价值传播,增加了铸牢中华民族共同体意识的难度.在算法推荐场域下铸牢中华民族共同体意识,应以主流价值驾驭算法,推进技术赋权与技术负责并举,加大优质内容发掘和供给.
Opportunities,Challenges and Countermeasures for Strengthening the Awareness of the Chinese National Community in the Field of Algorithm Recommendation
The Internet has evolved into an era based on intelligent data analysis,and the shaping of group psychology is gradually controlled by more implicit algorithm recommendation without human intervention.On the one hand,algorithm recommendation reduces information redundancy and overload,improves the accuracy of content supply,and is conducive to efficient utilization of advantageous resources in strengthening the awareness of the Chinese national community.On the other hand,under the invisible operation of algorithm recommendations,the individual preferences of various ethnic groups that have been hidden for various reasons in the real world are endowed with a"rightful"meaning of existence.Personal social news dissemination medium has become a reserved area for the development of individual preferences,which easily increases the psychological barriers of various ethnic groups,hinders the dissemination of mainstream values,and increases the difficulty of forging a sense of community for the Chinese nation.In the algorithm recommendation field,the consciousness of Chinese nation community is firmly cast,and the mainstream value is used to drive the algorithm.Promoting technology empowerment and technology responsibility,we will increase the discovery and supply of high-quality content.

algorithm recommendationthe Chinese national communitystrengthening the awareness of the Chinese national community

谢玲、杜晨阳

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新疆师范大学 马克思主义学院,新疆 乌鲁木齐 830017

算法推荐 中华民族共同体 铸牢中华民族共同体意识

2024

山东商业职业技术学院学报
山东商业职业技术学院

山东商业职业技术学院学报

影响因子:0.319
ISSN:1671-4385
年,卷(期):2024.24(4)