Education, Science, Technology, Innovation and Life
Open Access
Sign In

Analysis of Differences in Comments of Internet Users under Hot Internet Events: The Case of the Nuclear Sewage Discharge Incident in Japan

Download as PDF

DOI: 10.23977/jsoce.2023.051103 | Downloads: 51 | Views: 474

Author(s)

Mingjia Zhang 1

Affiliation(s)

1 Shanghai Weiyu School, Shanghai, 200000, China

Corresponding Author

Mingjia Zhang

ABSTRACT

In the aftermath of the New Crown epidemic, there has been a substantial increase in active discussion among Internet users on various Internet platforms. At the same time, the topic of ecological environment has been increasingly emphasized. Recently, Japan's decision to gradually dump nuclear wastewater has aroused people's concern about environmental safety. This major event has provoked heated discussions among netizens from various countries. What kind of reaction will the new network environment produce under the impact of this event in the post epidemic period? This paper centers on the event of Japan's nuclear sewage discharge, and researches and selects the evaluation content and characteristic information of netizens of various network platforms to analyze the differences of netizens' comments under the hot events in the network environment after the epidemic.

KEYWORDS

Netizens' comments, network platforms, ecological environment, Nuclear Sewage Discharge Incident

CITE THIS PAPER

Mingjia Zhang, Analysis of Differences in Comments of Internet Users under Hot Internet Events: The Case of the Nuclear Sewage Discharge Incident in Japan. Journal of Sociology and Ethnology (2023) Vol. 5: 14-23. DOI: http://dx.doi.org/10.23977/jsoce.2023.051103.
 

REFERENCES

[1] Neha A,W. Z,W. D, et al. An overview on social networks. Asian Journal of Multidimensional Research,2021,10(11).
[2] Roy R C, Shivam G, Sravanthi C. World War III analysis using signed social networks. Social Network Analysis and Mining,2021,11(1).
[3] Tianyi P, Xiang L, Alan K, et al. Influence Diffusion in Online Social Networks With Propagation Rate Changes. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING,2020,7(4).
[4] Plotnikov V A. Social Network Users and Social Graph Construction. International Journal of Innovative Technology and Exploring Engineering (IJITEE),2019,9(2).
[5] Kane,M. J. Developing strategies to Reduce DUP in the age of social media and the Internet. Early intervention in psychiatry.,2014,8(S1).
[6] Jayadevan P, Singh Y. The state of 5G in India: 5G services begin to roll out. Network World (Online),2022.
[7] Jinbao S, Xiaoya Z. Research on public opinion guidance of converging media based on AHP and transmission dynamics. Mathematical biosciences and engineering: MBE, 2021,18(5).
[8] S. R S. The Mutual Life Insurance Scandal: Making Public Opinion. Journalism History,2021,47(2).
[9] Li Y. The function of netizens supervision by public opinion in public emergency. International Journal of Frontiers in Sociology,2020,2.0(4.0).
[10] W. S W, Bethany A. Emotion and Politics: Noncognitive Psychological Biases in Public Opinion. Annual Review of Political Science,2022,25.
[11] Chen T Y, Huang C Y .Analysis of differences in internet user experiences and virtual network activities in Taiwan[J].Academic Journals, 2015(1).DOI:10.5897/JETR.9000005.
[12] Tinggui C, Jiawen S, Jianjun Y, et al. Modeling Public Opinion Polarization in Group Behavior by Integrating SIRS-Based Information Diffusion Process[J]. Complexity,2020,2020.
[13] Conway M, Jarvis L, Lehane O, et al. Internet Forensics as a Tool for Responding to Cyber-Fronts. NATO Science for Peace and Security Series - E: Human and Societal Dynamics,2017,136.
[14] Fang S, Zhao N, Chen N, et al. Analyzing and predicting network public opinion evolution based on group persuasion force of populism. Physica A: Statistical Mechanics and its Applications,2019,525(C).
[15] Jin X, Wang Y. Research on Social Network Structure and Public Opinions Dissemination of Micro-blog Based on Complex Network Analysis. Journal of Networks,2013,8(7).
[16] Yu L. The Simulation Study of Spread and Evolution about Network Opinion on Education. Asian Social Science, 2014(8).
[17] Daniel S, Friedrich P, Arne N. The COVID‐19 pandemic and government responses: A gender perspective on differences in public opinion. Social Science Quarterly, 2021, 102(5).
[18] Zhang X, Qu T, Wang Y. Optimal strategies for stakeholders of Fukushima nuclear waste water discharge in Japan. Marine Policy,2022,135.
[19] Meng L. Fishery legislative reform towards Japan's Fukushima nuclear wastewater discharge into the sea—A Chinese perspective. Frontiers in Marine Science, 2023.
[20] Jiyuan H, Mahdi M, Jiayao W, et al. Karst Collapse Risk Zonation and Evaluation in Wuhan, China Based on Analytic Hierarchy Process, Logistic Regression, and InSAR Angular Distortion Approaches. Remote Sensing, 2021, 13(24).
[21] Lijuan P, Tinggui C, Jianjun Y, et al. Management and Control of Enterprise Negative Network Public Opinion Dissemination Based on the Multi-Stakeholder Game Mechanism in China. Systems, 2022, 10(5).

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.