大数据与网络意识形态治理
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摘要
网络意识形态治理是国家治理能力和治理体系现代化的重要组成部分和重要标志。大数据是网络意识形态治理的重要手段,但二者在实践过程中呈现复杂局面。意识形态治理既包括对网络主流意识形态的治理,进而捍卫主流意识形态的权威,防止主流意识形态的失真与虚置,也包括网络非主流意识形态的治理,让非主流意识形态维持在法治的限度之内,防止非主流意识形态极端化和相互妖魔化。意识形态治理应充分利用好大数据,提高意识形态治理的针对性、精准性和有效性。排除对意识形态治理的盲目性和主观性。防止意识形态治理带来的政治与社会双重风险,使主流意识形态对非主流意识形态具有引导力、震慑力和控制力。
Network ideology governance is an important component and indicator of the modernization of state governance system and governance capacity. Big data is an important means of network ideology governance. In practice, the two present a complex situation. Network ideology governance includes governance of mainstream network ideology, aiming to defend the authority of mainstream ideology and avert the distortion and illusion of mainstream ideology. The governance also covers the governance of non-mainstream ideology,maintaining non-mainstream ideology in the rule of law and preventing from the extreme situation and the radical ways of demonization. Ideology governance should make full use of big data to improve the pertinence,accuracy and effectiveness of the governance, eliminate the blindness and subjectivity, prevent the dual politics and social risks, and make mainstream ideology have guidance, deterrence and control over non-mainstream ideology.
Network ideology governance is an important component and indicator of the modernization of state governance system and governance capacity. Big data is an important means of network ideology governance. In practice, the two present a complex situation. Network ideology governance includes governance of mainstream network ideology, aiming to defend the authority of mainstream ideology and avert the distortion and illusion of mainstream ideology. The governance also covers the governance of non-mainstream ideology,maintaining non-mainstream ideology in the rule of law and preventing from the extreme situation and the radical ways of demonization. Ideology governance should make full use of big data to improve the pertinence,accuracy and effectiveness of the governance, eliminate the blindness and subjectivity, prevent the dual politics and social risks, and make mainstream ideology have guidance, deterrence and control over non-mainstream ideology.
引文
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[3]徐子沛.大数据[M].桂林:广西师范大学出版社2013:318.
[4]以塞亚·伯林.自由论[M].胡传胜译.南京:译林出版社,2003:269.
[5]曹建峰.算法决策兴起:人工智能时代的若干伦理问题及策略|AI观察[EB/OL].2017-05-24,http://www.sohu.com/a/143165651_455313.
[6]张爱军、王喜春.微博“意识形态极化”现象研究———基于勒庞视角的知识社会学探析[J].自然辩证法研究,2016,(1):71-76.
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[8][英]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、周涛译,杭州:浙江人民出版社,2012:195.
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[10]张苇杭.大数据时代我们需要个人信息保护法吗?[EB/OL].2017-11-14,http://www.sohu.com/a/204264182_118392.
[11]王峰.个人信息保护法应该如何立法?专家建议建立信息保护激励机制[EB/OL].http://finance.sina.com.cn/roll/2017-11-08/doc-ifynsait6314652.shtml,2017-11-08.