ARTICLE

Volume 10,Issue 7

All Issues
Submit to JERA
Cite this article
1
Citations
2
Views
5 June 2025
Research on Governance Strategy of Internet Public Opinion Reversal based on Blockchain Technology
Fei Wang
Show Less
1 College of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou 730070, Gansu, China,
JERA 2025 , 9(3), 44–51; https://doi.org/10.26689/jera.v9i3.10790
© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Download PDF
Cite
XML
HTML
Abstract

In recent years, the network public opinion reversal governance events have occurred frequently. Over time, the repeated truth of the matter will not only weaken the rational judgment of the public to a certain extent, so that its negative emotions accumulate, but also have a serious impact on the credibility of the media and the government, and may even further intensify social contradictions. Therefore, in the face of such a complex online public opinion space, accurately identifying the truth behind the incident and how to carry out the reversal of online public opinion governance is particularly critical. And blockchain technology, with its advantages of decentralization and immutable information, provides new technical support for the network public opinion reversal governance. Based on this, this paper gives an overview and analysis of blockchain technology and network public opinion reversal, and on this basis introduces the network public opinion reversal governance mechanism based on blockchain technology, aiming to further optimize the network public opinion reversal governance process, for reference only.

References
Yu S, Bian J, Gao T, 2025, Research on Network Public Opinion Reversal Path based on Fuzzy Set Qualitative Comparative Analysis. Competitive Intelligence, 21(01): 10–18.
Jiang C, Xu S, Li F, et al., 2024, Research on Multi-stage Governance of Inverted Network Public Opinion based on Evolutionary Game. Journal of Wuhan University of Technology (Information and Management Engineering), 46(03): 392–401.
Bu Z, 2024, Research on Network Public Opinion Inversion Prediction of Public Health Emergencies, dissertation, Jilin University.
Zhang L, Yi S, Wang H, et al., 2024, Study on the Formation Path of Public Opinion Reversal of Emergencies from the Perspective of Symbiosis Theory — Based on Qualitative Comparative Analysis of fsQCA. Information Science, 42(06): 74–82.
Zhang J, Zhang P, Lan Y, et al., 2023, Construction and Empirical Research of Network Public Opinion Inversion Recognition Model based on Dynamic Topic Clustering. Information Theory and Practice, 46(10): 174–181 + 129.
Li R, 2023, Evolution Process Analysis and Trend Prediction of Network Public Opinion Reversal, dissertation, Huazhong University of Science and Technology.
Zhang S, 2023, Research on Construction and Prediction of Network Public Opinion Inversion Feature Set, dissertation, Hebei University of Technology.
Gao Y, 2023, Research on Generating Mechanism and Forecasting of Network Public Opinion Inversion from the Perspective of Information Ecology, dissertation, Yanshan University.
Zhu G, 2023, Derivative Risk and Its Transmission in Network Public Opinion Reversal Event: Type Classification and Resolution Strategy. Journal of Jishou University (Social Sciences Edition), 44(03): 99–111.
Zhang Y, Gao Y, Song W, et al., 2023, Research on Generating Mechanism of Internet Public Opinion Reversal from the Perspective of Information Ecology — Qualitative Comparative Analysis of Fuzzy Sets based on 40 Cases. Information Science, 41(03): 66–73.
Li W, Jiang H, Zeng F, 2022, Research on Generating Mechanism of Network Public Opinion Reversal Strength for Public Emergencies — fsQCA Analysis based on Multiple Cases. Chinese Journal of Information, 41(11): 129–136 + 54.
Wu X, 2022, Research on Influencing Factors and Driving Path of Network Public Opinion Reversal in Emergencies, dissertation, Hunan Agricultural University.
Jia M, Liu Q, 2021, Analysis on the Mechanism and Countermeasures of Network Public Opinion Reversal Event. Science and Technology Communication, 13(16): 139–141 + 145.
Jia M, Liu Q, 2021, Research Progress and Review of Network Public Opinion Reversal. News Research Guide, 12(13): 50–52.
Liu Q, 2020, Research on Viewpoint Evolution and Sentiment Analysis of Network Public Opinion Reversal, dissertation, Huazhong University of Science and Technology.
Share
Back to top
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here
Accept