算法赋能高校主流意识形态话语传播出场语境、风险表征与调适进路
Algorithmic Empowerment of the Communication Context Risk Representation and Adaptive Approach of Mainstream Ideological Discourse in Universities
朱应开1
作者信息
- 1. 泉州师范学院 商学院,福建 泉州 362000
- 折叠
摘要
算法赋能高校主流意识形态话语传播是大势所趋,也是新形势下意识形态工作创新发展的必然选择.算法推荐技术影响下,高校主流意识形态传播面临话语主导地位、价值引领、辐射广度、凝聚合力式微的风险挑战.需从坚持主流价值引领、营造算法良好生态、推进话语供给侧改革、强化算法素养培训等方面下功夫,确保算法推荐技术始终服务于高校主流意识形态建设,不断提升主流意识形态话语舆论主导力、思想渗透力与价值引领力,推进算法时代高校主流意识形态话语传播体系现代化,维护国家意识形态安全.
Abstract
Empowering mainstream ideological discourse in universities with algorithms is a trend and an inevitable choice for the innovative development of ideological work in the new situation.Un-der the influence of algorithm recommendation technology,mainstream ideological communication in universities faces risks and challenges such as discourse dominance,value leadership,radiation breadth,and declining cohesion.Efforts need to be made to adhere to mainstream value leadership,create a good ecosystem of algorithms,promote discourse supply side reform,and strengthen algo-rithmic literacy training to ensure that algorithm recommendation technology always serves the con-struction of mainstream ideology in universities,continuously improve the dominant power of main-stream ideological discourse,ideological penetration,and value leadership,promote the modernization of the mainstream ideological discourse communication system in universities in the era of algorithms,and maintain national ideological security.
关键词
高校主流意识形态话语传播/算法赋能/出场语境/风险表征/调适进路Key words
communication of mainstream ideological discourse in universities/algorithmic empow-erment/appearing context/risk characterization/adjust the route引用本文复制引用
基金项目
福建省社会科学基金项目(FJ2022C006)
出版年
2024
NETL
NSTL
万方数据