2025年9月11日 周四
Big data boosts mainstream ideology leadership research
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D261.5;D64;G206

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    Abstract:

    Xi Jinping once stressed in the national propaganda and ideological work conference that, "Ideological work is an extremely important work of the Party. We must hold the leadership, management and discourse power of ideological work firmly in our hands, and at no time can we neglect it." The internet has become a new space for consensus building. It is vital to enhance the leading power of the mainstream ideology of the internet. However, the leading ability of the current network mainstream ideology cannot fully adapt to the complexity of cyberspace, the leading mechanism cannot fully mobilize the enthusiasm of the object, the leading methods are lack of effectiveness, the leading resources integration is limited, and the leading force cannot be fully formed, which cannot fully adapt to and meet the needs of ideological construction in the new era. According to the research, the big data approach meets the requirements of the leading force of the mainstream ideology of the network, which is mainly manifested in the following aspects:first, big data accurately captures the risk points of the network ideology; second, big data timely grasps the interest points of the network ideology; third, big data links and integrates the resources of the network ideology; and fourth, big data integrates into the "network" life circle of the public in the new era. Therefore, the application of big data thinking and methods can improve the leading power of mainstream ideology in the following four aspects:first, improve the leading ability of the leading subject, and improve the leading subject's ability by establishing big data awareness, actively learning big data technology and being good at applying big data technology. The second is to stimulate the motivation of the objects to participate in the guidance, and stimulate the motivation of the objects by optimizing the decision-making mechanism of ideological guidance, enhancing the dynamic mechanism of ideological guidance, and optimizing the coordination mechanism of ideological guidance. The third is to gather a comprehensive thought leading force, through accurately capturing the explosion points of the internet, accurately identifying the interests of netizens, accurately grasping the demands of netizens, and actively integrating into the life circle of netizens. Fourth, enhance the effectiveness of the thought leading process by establishing the concept of big data integration resources for sharing and governance, developing a win-win big data sharing platform, and implementing the integration mechanism of big data grid resource management. Through the above four aspects, we can effectively enhance the leading force of mainstream ideology in cyberspace.

    Reference
    [1] 习近平.加快推动媒体融合发展构建全媒体传播格局[J].求是, 2019(6):4-8.
    [2] 习近平.决胜全面建成小康社会 夺取新时代中国特色社会主义伟大胜利——在中国共产党第十九次全国代表大会上的报告[M].北京:人民出版社, 2017:41.
    [3] 习近平:意识形态工作是党的一项极端重要的工作[EB/OL].(2013-08-20)[2022-04-10].http://politics.people.com.cn/n/2013/0820/c1024-22634056.html.
    [4] 蒲清平, 范海群, 赵楠.基于大数据的网络意识形态安全治理研究[J].学校党建与思想教育, 2017(10):22-24, 30.
    [5] 维克托·迈尔-舍恩伯格, 肯尼思·库克耶.大数据时代:生活、工作与思维的大变革[M].盛杨燕, 译.杭州:浙江人民出版社, 2013(序言p2).
    [6] 罗丽琳, 蒲清平.红色文化的思想政治教育基因及其时代价值[J].新疆师范大学学报(哲学社会科学版), 2018(6):45-52.
    [7] 罗丽琳.高等学校校园文化建设的时代精神与理性回归[J].重庆大学学报(社会科学版), 2016(2):207-212.
    [8] 蒲清平, 王婕, 朱丽萍.基于大数据的精准志愿服务研究[J].学术探索, 2017(3):77-82.
    [9] 邓验, 张苾莹.大数据时代国家意识形态话语权建构的逻辑进路[J].思想教育研究, 2018(1):52-56.
    [10] 卡尔·曼海姆.意识形态与乌托邦[M].姚仁权, 译.北京:中国社会科学出版社, 2009:76.
    [11] 覃红, 许亨洪.试论大数据在高校思想政治工作质量评价体系中的运用[J].学校党建与思想教育, 2018(13):19-23.
    [12] 孙璐杨, 伍志燕.强化网络主流意识形态的感性认同[J].理论探索, 2021(2):40-47.
    [13] 张世昌.大数据的意识形态性论析[J].科学社会主义, 2021(2):70-76.
    [14] 罗红杰.论大数据与意识形态治理现代化[J].社会主义研究, 2020(5):102-109.
    [15] 仲昭慧.基于大数据的高校意识形态安全治理[J].学校党建与思想教育, 2020(2):55-57.
    [16] 段海超, 吴楠.基于大数据应用的网络意识形态安全探析[J].思想教育研究, 2019(6):43-46.
    [17] 韩影, 张爱军.大数据与网络意识形态治理[J].理论与改革, 2019(1):76-85.
    [18] 赵玉枝, 谢玉进.网络主流意识形态传播面临的挑战及对策研究[J].广西社会科学, 2019(5):44-48.
    [19] 姜长宝, 任俊霞.大数据时代高校意识形态安全建设困境与破解路径[J].黑龙江高教研究, 2019(11):110-113.
    [20] 郑敬斌, 刘敏.坚决打好意识形态风险防范攻坚战[J].红旗文稿, 2019(10):28-30.
    [21] 阳作林, 张艳艳.大数据时代高校意识形态安全风险的防范[J].学校党建与思想教育, 2021(8):83-85.
    [22] 万颖.大数据时代高校意识形态安全面临的风险及其防范[J].学校党建与思想教育, 2021(3):90-92.
    [23] 杨润聪, 洪向华.基于大数据技术的意识形态话语权提升研究[J].山东社会科学, 2019(12):188-192.
    [24] 汪宏.乡村文化建设"造形" "铸魂"的 思想政治教育逻辑[J].理论与改革, 2022(3):145-154.
    [25] 冯刚, 陈倩.解构与重构:元宇宙对网络思想政治教育的挑战及其应对[J].探索, 2022(3):166-175, 2.
    [26] 张东, 高虹, 周强.疫情背景下自媒体舆论治理的经验评价、困境反思及实践进路[J/OL].重庆大学学报(社会科学版).https://kns.cnki.net/kcms/detail/50.1023.c.20220328.1906.006.html.
    [27] 刘小源, 梁罡.新时代主流意识形态大众化传播的价值、挑战和实现路径[J].华北理工大学学报(社会科学版), 2021(6):21-25, 43.
    [28] 徐国民, 孙文秀.新媒体时代主流意识形态传播力提升路径探析[J].思想政治教育研究, 2021(4):133-139.
    [29] 段鹏.5G背景下互联网主流意识形态传播机遇、挑战与创新路径[J].中国出版, 2021(6):20-25.
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罗丽琳,蒲清平,黄燕.大数据提升网络主流意识形态引领力研究[J].重庆大学学报社会科学版,2022,28(5):276~286

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  • Online: November 07,2022
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