摘要
大数据技术和人工智能技术作为强有力的信息化手段,为网络舆情治理工作提供了全新的信息资源、技术手段和治理范式,在一定程度上实现了网络舆情治理的全面化、自动化、科学化、精准化和个性化,增强了网络舆情治理的效能;同时,大数据与人工智能在网络舆情治理中仍存在着算法呈现舆情与真实社会民意存在偏差、舆情预测干涉和情绪分析复杂性导致舆情误判、虚假新闻和信息茧房问题误导舆情引导决策等问题。在此基础上,针对网络舆情治理面临的隐私伦理、数据垄断、数据滥用信息管理风险等新挑战,提出了具体的解决措施:优化技术升级,推进网络舆情治理综合化技术发展;完善舆情治理法制和理念,实现舆情数据管理应用机制升级;壮大人才队伍,培养复合型舆情治理专业人才;加强平台自律,提升公众的网络媒介素养和算法素养。
As a powerful means of information,big data technology and artificial intelligence technology are moving toward integration.They provide brand-new information resources,technical means and governance paradigms for the network public opinion management.And to a certain extent,they have realized the comprehensive,automatic,scientific,precise and personalized management of network public opinion.However,there still exist some challenges like deviations between the public opinion presented by the algorithm and the real public opinion,public opinion misjudging risks,false news,information cocoon rooms,public opinion misleading in decision-making,privacy ethics,data monopoly,and risks of data abuse in information management.In order to solve the challenges,some measures for improvement are concluded in the paper.
作者
李明德
邝岩
LI Mingde;KUANG Yan(Research Center for Intelligent Understanding of Communication Content,Xi′an Jiaotong University,Xi′an 710049,China;School of Journalism and New Media,Xi′an Jiaotong University,Xi′an 710049,China;School of Marxism,Xi′an Jiaotong University,Xi′an 710049,China)
出处
《北京工业大学学报（社会科学版）》
CSSCI
北大核心
2021年第6期1-10,共10页
Journal of Beijing University of Technology (Social Sciences Edition)
基金
教育部哲学社会科学研究重大课题攻关项目(18JZD022)
陕西省软科学研究计划资助项目(2021KRM182)
传播内容认知国家重点实验室开放课题(20K02)。
关键词
国家治理
跨学科融合
网络舆情治理
大数据
人工智能
state governance
interdisciplinary fusion
network public opinion management
big data
artificial intelligence
