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Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

public opinion, Think Tank Double Helix Methodology, monitoring, think tank

Document Type

Application and Empirical Analysis of Think Tank Double Helix Methodology

Abstract

Public opinion governance research is a typical think tank research driven by big data, which should deal with the "five major challenges" faced by China's economic transformation, social transformation, and reform challenges, namely, risk intertwined challenges, modeling complexity challenges, interdisciplinary challenges, social impact challenges, and scenario uncertainty challenges. The Think Tank Double Helix Methodology provides an effective research paradigm to guide the whole process of public opinion governance and think tank research. Based on this methodology, opinion research could effectively respond to the five significant challenges and serve the demands of national governance. This paper demonstrates a deep understanding of the relationship between the risk and value of the public opinion. It is also explained how to use the Think Tank Double Helix Methodology to promote the interdisciplinary integration of theoretical methods of public opinion academic research, improve the scientific and professional level of the logical framework of think tank research, and break down the cognitive barriers of the transformation from academic research to think tank research. This methodology provides thinking, process, operation, and organizational guidance. Under this guidance, we adhere to the problem-oriented, evidence-oriented, and scientific-oriented to conduct opinion think tank research. We establish a full-chain risk response mechanism, including public opinion collection, judgment, disposal, and response. We improve the risk rating system, including public opinion monitoring, early warning, prevention, and resolution, build a value shaping system including public opinion dissemination, guidance, influence, and credibility. This methodology promotes the research of public opinion think tanks from empirical to scientific research, from discrete to systematic approach, from a single discipline basis to comprehensive and consistent research from pure academic-oriented to integrative studies fitting both academic and practical requirements. These research transitions improve the quality and effectiveness of public opinion governance and think tank research for servicing decision-making.

First page

773

Last Page

782

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 刘怡君, 蒋文静. 社会转型期我国新兴舆情风险及对策研究. 智库理论与实践, 2017, 2(6):82-88.

Liu Y J, Jiang W J. Study of emerging risks of the network public opinion and countermeasures of the supervision under the context of the social transformation. Think Tank:Theory & Practice, 2017, 2(6):82-88. (in Chinese)

2 Bakshy E, Messing S, Adamic L A. Exposure to ideologically diverse news and opinion on Facebook. Science, 2015, 348: 1130-1132.

3 Macy M, Deri S, Ruch A, et al. Opinion cascades and the unpredictability of partisan polarization. Science Advances, 2019, 5(8):eaax0754.

4 Bovet A, Makse H A. Influence of fake news in Twitter during the 2016 US presidential election. Nature Communications, 2019, 10(1):1-14.

5 Cacciatore M A. Misinformation and public opinion of science and health:Approaches, findings, and future directions. PNAS, 2021, 118(15):e1912437117.

6 Papanastasiou Y. Fake news propagation and detection:A sequential model. Management Science, 2020, 66(5):1826- 1846.

7 潘教峰. 智库研究的双螺旋结构. 中国科学院院刊, 2020, 35(7):907-916.

Pan J F. Double helix structure of think tank research. Bulletin of Chinese Academy of Sciences, 2020, 35(7):907-916. (in Chinese)

8 潘教峰, 张凤, 鲁晓. 促进智库研究的"六个转变". 中国科学院院刊, 2021, 36(10):1226-1234.

Pan J F, Zhang F, Lu X. Promoting "six transitions" in think tank research. Bulletin of Chinese Academy of Sciences, 2021, 36(10):1226-1234. (in Chinese)

9 Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation. Journal of Machine Learning Research, 2003, 3(1):993-1022.

10 Tian R Y, Liu Y J. Isolation, insertion, and reconstruction: Three strategies to intervene in rumor spread based on supernetwork model. Decision Support Systems, 2014, 67: 121-130.

11 牛文元. 社会物理学与中国社会稳定预警系统. 中国科学院院刊, 2001, 16(1):15-20.

Niu W Y. The social physics and the warning system of China's social stability. Bulletin of Chinese Academy of Sciences, 2001, 16(1):15-20. (in Chinese)

12 王红兵, 姜景, 张立超. 突发事件网络舆情应对时机研究// 刘怡君. 社会物理学:社会治理. 北京:科学出版社, 2014: 112-121.

Wang H B, Jiang J, Zhang L C. Research on the response time of emergency public opinion//Liu Y J. Social Physics:Social Governance. Beijing:Science Press, 2014:112-121. (in Chinese)

13 Ma N, Liu Y. Risk factors and risk level assessment:Forty thousand emergencies over the past decade in China. Jàmbá: Journal of Disaster Risk Studies, 2020, 12(1):a916.

14 李倩倩, 黄远, 姜景, 等. 中国网络社会治理的舆论指数. 中国科学院院刊, 2015, 30(1):90-96.

Li Q Q, Huang Y, Jiang J, et al. Opinion index of social governance on Chinese network. Bulletin of Chinese Academy of Sciences, 2015, 30(1):90-96. (in Chinese)

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