摘要
大数据为思想传播与思想影响提供了平台,任何一种思想要想获得普遍性认同,都要实现情感基础、理论基础与生活基础的有机结合。大数据时代的思想认同具有客观性、动态性和综合性等特征。实现思想的可持续性认同,需要秉承问题导向,不断回应时代提出的新问题;需要推进话语创新,通过话语凝聚共识;需要坚持人民为中心,实现好维护好发展好人民群众的根本利益。
Big data has provided a platform for spreading ideology and enlarging its influence. For a universal recognition of a ideology, it is necessary to combine its emotional, theoretical, and life basis. Ideological identification in the era of big data is characterized by objectivity, dynamism and comprehen- siveness. To realize the sustainable identification of an ideology, the following must be achieved. First, we must focus on and resolve the new issues in the new era. Second, we need to promote the discourse innovation and achieve agreement on discourse. Third, we must adhere to the principle that people should be centered, and protect the fundamental interests of our people.
作者
简福平
JIAN Fu - Ping(Chongqing Technology and Business University, Chongqing Theoretical Research Center of Socialism with Chinese Characteristics, Chongqing 400067, Chin)
出处
《自然辩证法研究》
CSSCI
北大核心
2018年第7期61-65,共5页
Studies in Dialectics of Nature
基金
重庆市教育科学"十三五"规划2017年度重点课题"全面从严治党背景下高校基层党组织党员教育管理的路径创新研究--以重庆高校为例"(2017-GX-022)
2017年重庆市社会科学规划项目"全面从严治党背景下高校基层党组织建设研究"(2017YBMK010)
重庆工商大学重点项目"习近平教育思想研究"(ctbusjd21)
关键词
大数据
思想认同
问题导向
big data
ideological identity
problem oriented