Issue |
SHS Web Conf.
Volume 154, 2023
2022 International Conference on Public Service, Economic Management and Sustainable Development (PESD 2022)
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Article Number | 03020 | |
Number of page(s) | 5 | |
Section | 3. Low Carbon Economy and Sustainable Development Research | |
DOI | https://doi.org/10.1051/shsconf/202315403020 | |
Published online | 11 January 2023 |
Research on the Optimization of Network Public Opinion Collaborative Governance System in the Era of Big Data
College of Public Finance and Administration, Harbin University of Commerce, Harbin China
* Corresponding author: 3167894913@qq.com (Rong Wang)
With the rapid development of information technology and the continuous improvement of citizens’ online participation, the rapid dissemination of public opinion through new media platforms has led to frequent incidents of online public opinion. The governance of network public opinion is difficult to achieve the desired effect only by relying on the power of the government, and the coordinated governance of network public opinion can become a realistic path to break the situation. This paper is based on the practical dilemma faced by network public opinion governance in the era of big data: big data information collection and processing are independent; The governance subjects are complex, and the rights and responsibilities between the management entities are not clear; Insufficient motivation to participate among governance subjects; Issues such as insufficient legalization of public opinion governance, and proposing to establish a government-led network public opinion data management optimization system; Improve the collaborative governance mechanism of multiple subjects of network public opinion; Implement the construction of network public opinion common interests and value system; Adhere to suggestions such as legalized collaborative governance of network public opinion to optimize the collaborative governance system of network public opinion.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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