论公共危机事件中舆情治理的数据驱动

李国, 高敬文

暨南学报(哲学社会科学版) ›› 2020, Vol. 42 ›› Issue (6) : 86-93.

PDF(587 KB)
PDF(587 KB)
暨南学报(哲学社会科学版) ›› 2020, Vol. 42 ›› Issue (6) : 86-93.
新闻传播学

论公共危机事件中舆情治理的数据驱动

  • 李国, 高敬文
作者信息 +

On Data-Driven Public Opinion Governance in Public Crisis Events

  • LI Guo, GAO Jingwen
Author information +
文章历史 +

摘要

从国家治理能力现代化的要求来看,当前我国公共危机事件中的舆情治理仍存在系统性技术瓶颈,主要表现在:海量社会舆情数据让传统的舆情监测技术捉襟见肘,致使难以摸清主流民意;多元社会思潮激荡,难以实现有效的情感动员与价值引领;日益分化的舆论场域,难以实施有效的网络干预。大数据技术虽然远未成熟,但为突破上述瓶颈,提供了诸多动能。依托海量舆情数据,深入把握公共危机事件社会舆情的内在规律、传播模式,有助于推动公共危机事件社会舆情治理能力的提升。

Abstract

Judging from the requirements of modernizing the country’s governance capacity, there are still systematic technical bottlenecks in the governance of public opinion in public crises in China, mainly manifested in the following: massive social opinion data overwhelms traditional public opinion monitoring techniques, making it difficult to understand mainstream public opinion; pluralistic societies are in turmoil, making it difficult to achieve effective emotional mobilization and value leadership; and the increasingly polarized public opinion field makes it difficult to implement effective network intervention. Although far from mature, big data technology provides a lot of momentum to break through these bottlenecks. Relying on massive data on public opinion, in-depth grasping of the inherent laws and modes of dissemination of public opinion in public crises can help promote the improvement of public opinion governance capacity in public crises.

关键词

公共危机 / 数据驱动 / 舆情治理

Key words

data-driven / public crises / public opinion governance

引用本文

导出引用
李国, 高敬文. 论公共危机事件中舆情治理的数据驱动. 暨南学报(哲学社会科学版). 2020, 42(6): 86-93
LI Guo, GAO Jingwen. On Data-Driven Public Opinion Governance in Public Crisis Events. Jinan Journal. 2020, 42(6): 86-93
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