中文    English

Journal of Library and Information Science in Agriculture ›› 2024, Vol. 36 ›› Issue (1): 46-57.doi: 10.13998/j.cnki.issn1002-1248.24-0002

Previous Articles     Next Articles

Evolution of Public Opinion on Public Emergencies and Government Response under the Influence of Emotional Factors: Based on the Perspective of the Tripartite Game

BIN Ning, RONG Jianbang, LIANG Chuyin, CHEN Huannv, HU He   

  1. School of Management, Guangdong University of Technology, Guangzhou 510520
  • Received:2023-12-06 Online:2024-01-05 Published:2024-04-18

Abstract: [Purpose/Significance] With the rapid development of communication technology, the number of Internet users has increased rapidly, and the public opinion on the Internet has also developed according to the requirements of the times. Aiming at the online public opinion of public emergencies under the influence of emotional factors and the government's response strategies, a tripartite game model of netizens, online media and the government is constructed, and its development trend and the influence of emotional factors are simulated and analyzed. [Method/Process] This paper introduces the theory of hierarchical expected utility (RDEU), establishes a tripartite game model of netizens, online media and the government by using the replication dynamic equation, analyzes the influence of emotional factors on the behavioral decision-making of the main body and the development trend of public opinion of the three parties under the influence of different emotional states. Finally, through Matlab software simulation, the influence of emotional state on decision-making is analyzed, and the strategies and suggestions are proposed from the perspective of the government. Hierarchical expected utility theory (RDEU) is introduced to establish a tripartite evolutionary game model, the influence of emotional factors on the agent's behavior decision-making and the development trend of public opinion under the influence of different emotional states are analyzed, and the influence of emotional states on the agent's decision-making is also analyzed. [Results/Conclusions] Under the influence of emotional factors, different combinations of emotional states of each subject produce different results, and all three parties adopt different strategies according to the actual benefits, and the government's own emotions have the most obvious impact on the results of the evolutionary game. When the government has no mood or is in an optimistic mood, the online environment is relatively unstable, and it is necessary to strengthen the management of public opinion; when the government is in a pessimistic mood, the government needs to actively supervise and control public opinion so that public opinion will be well managed, and the network environment will be more harmonious. By analyzing the behavioral strategies of the tripartite game under the influence of emotional factors, the following suggestions are made on the management of public opinion from the government's perspective: 1) The government must always pay attention to the emotions of netizens, try to reduce the participation rate of netizens in online public opinion, strengthen education and improve the quality of netizens. 2) The government should reduce the dissemination of public opinion events by online media, encourage online media to report comprehensively and objectively, and avoid false information that causes negative emotions of the online public opinion.

Key words: Internet public opinion, RDEU, emotion, tripartite evolutionary game

CLC Number: 

  • G206
[1] DALEY D J, KENDALL D G.Epidemics and rumours[J]. Nature, 1964, 204: 1118.
[2] WANG Y, CAO J D, ALSAEDI A, et al.Edge-based SEIR dynamics with or without infectious force in latent period on random networks[J]. Communications in nonlinear science and numerical simulations, 2017, 45: 35-54.
[3] WANG Z Y, LIANG J, NIE H F, et al.A 3SI3R model for the propagation of two rumors with mutual promotion[J]. Advances in difference equations, 2020(1): 109.
[4] XIA Y, JIANG H J, YU Z Y.Global dynamics of ILSR rumor spreading model with general nonlinear spreading rate in multi-lingual environment[J]. Chaos, solitons & fractals, 2022, 154: 111698.
[5] ZHANG J, WANG X, XIE Y, et al.Research on multi-topic network public opinion propagation model with time delay in emergencies[J]. Physica A: Statistical mechanics and its applications, 2022, 600: 127409.
[6] 侯艳辉, 管敏, 王家坤, 等. 全媒体时代基于微分博弈的网络舆情引导激励机制研究[J]. 中国管理科学, 2023, 31(8): 239-252.
HOU Y H, GUAN M, WANG J K, et al.Research on the incentive mechanism of network public opinion guidance based on differential game in the omnimedia era[J]. Chinese journal of management sci-ence, 2023, 31(8): 239-252.
[7] 李思佳, 张鹏, 夏一雪, 等. 基于信息吸引力和相关性的双网络舆情交互传播建模与仿真研究[J]. 情报杂志, 2023, 42(5): 119-128.
LI S J, ZHANG P, XIA Y X, et al.Interactive propagation mode and simulation of dual network public opinions based on information attraction and relevance[J]. Journal of intelligence, 2023, 42(5): 119-128.
[8] ZHAO H, LIU X, WANG Y T.Tripartite evolutionary game analysis for rumor spreading on Weibo based on MA-PT[J]. IEEE access, 2021, 9: 90043-90060.
[9] WEI X C, ZHANG Y F, FAN Y Y, et al.Online social network information dissemination integrating overconfidence and evolutionary game theory[J]. IEEE access, 2021, 9: 90061-90074.
[10] WANG J K, WANG X H, FU L.Evolutionary game model of public opinion information propagation in online social networks[J]. IEEE access, 2020, 8: 127732-127747.
[11] 侯艳辉, 管敏, 王家坤, 等. 基于Moran过程竞争性舆情信息的网络传播博弈模型[J]. 计算机应用研究, 2022, 39(7): 2050-2057.
HOU Y H, GUAN M, WANG J K, et al.Network game model of competitive public opinion information propagation based on Moran process[J]. Application research of computers, 2022, 39(7): 2050-2057.
[12] 杨潇坤, 周书环, 刘庸. 重大突发传染病事件中网络情绪的类型、演化及传播效果研究——基于新冠肺炎疫情期间微博舆情的分析[J]. 图书情报研究, 2021, 14(4): 91-100.
YANG X K, ZHOU S H, LIU Y.Research on the states, evolution and communication effects of online emotion under magnitude outburst infectious disease emergencies: Analysis of microblog public opinion during COVID-19 pandemic[J]. Library & information studies, 2021, 14(4): 91-100.
[13] 杨柳, 徐宇昭, 邓春林. 高校网络舆情风险评估及预警研究[J]. 情报科学, 2022, 40(5): 65-72, 83.
YANG L, XU Y Z, DENG C L.Risk assessment and early warning of university network public opinion[J]. Information science, 2022, 40(5): 65-72, 83.
[14] 王晰巍, 王小天, 李珗琪. 重大突发事件网络舆情UGC的事理图谱构建研究——以自然灾害7·20河南暴雨为例[J]. 图书情报工作, 2022, 66(16): 13-23.
WANG X W, WANG X T, LI Y Q.Research on the construction of the event evolution graph of UGC of network public opinions for major emergencies - Taking the natural disaster 7·20 torrential rain in Henan as an example[J]. Library and information service, 2022, 66(16): 13-23.
[15] 杨洋洋. 事件驱动、权威主导与公众诉求:重大突发事件中网络舆情触发机制研究[J]. 情报资料工作, 2023, 44(1): 33-41.
YANG Y Y.Event-driven, authority-led and public demands: Research on the triggering mechanism of network public opinion in major emergencies[J]. Information and documentation services, 2023, 44(1): 33-41.
[16] 朱代琼, 王国华. 热点公共事件中网络社会情绪演进的影响因素研究——基于“高铁霸座” 事件的探讨[J]. 情报杂志, 2020, 39(8): 94-100, 116.
ZHU D Q, WANG G H.Research on influencing factors of emotional evolution of cyber society in hot public events - Based on the "high speed rail overlord" incident[J]. Journal of intelligence, 2020, 39(8): 94-100, 116.
[17] 冯兰萍, 严雪, 程铁军. 基于政府干预和主流情绪的突发事件网络舆情群体负面情绪演化研究[J]. 情报杂志, 2021, 40(6): 143-155.
FENG L P, YAN X, CHENG T J.Research on the group negative emotion evolution of network public opinion on emergencies based on the government intervention and main emotion[J]. Journal of intelligence, 2021, 40(6): 143-155.
[18] 金冬雪, 夏一雪, 朱攀龙. 情绪演化视角下网络舆情群体极化动力学机理研究[J]. 情报科学, 2023, 41(3): 57-65.
JIN D X, XIA Y X, ZHU P L.The mechanism of network public opinion group polarization dynamics from the perspective of emotional evolution[J]. Information science, 2023, 41(3): 57-65.
[19] 刘念, 朱婧. 谁掀动了网络情绪? ——网络舆情中愤怒情绪传播的关键节点[J]. 广州大学学报(社会科学版), 2023, 22(1): 172-182.
LIU N, ZHU J.Who stirred up the emotions in the Internet? The key nodes of the diffusion of anger in online public opinion[J]. Journal of Guangzhou university(social science edition), 2023, 22(1): 172-182.
[20] 张亚明, 苏妍嫄, 赵桂茹, 等. 双重情绪交叉感染下重大疫情网络舆情传播研究[J]. 系统仿真学报, 2023, 35(12): 2582-2593.
ZHANG Y M, SU Y Y, ZHAO G R, et al.Research on network public opinion propagation model of major epidemics under cross-infection of double emotions[J]. Journal of system simulation, 2023, 35(12): 2582-2593.
[21] 聂琦, 张鸫, 江昊. 基于情绪信息熵的网络舆情传播模型研究[J]. 武汉大学学报(工学版), 2022, 55(7): 725-731.
NIE Q, ZHANG D, JIANG H.Research on Internet public opinion transmission model with emotional information entropy[J]. Engineering journal of Wuhan university, 2022, 55(7): 725-731.
[22] 杨阳, 王杰. 情绪因素影响下的突发事件网络舆情演化研究[J]. 情报科学, 2020, 38(3): 35-41, 69.
YANG Y, WANG J.The evolution of emergency network public opinion influenced by emotional factors[J]. Information science, 2020, 38(3): 35-41, 69.
[1] LI Dian, WEN Tingxiao, XU Linyong. Review of Full Text Citation Analysis [J]. Journal of Library and Information Science in Agriculture, 2023, 35(9): 15-27.
[2] HU Yuan, GAO Wei, CHEN Guodong. Influencing Factors of Network Social Mentality in Public Emergencies: A Meta-Synthesis [J]. Journal of Library and Information Science in Agriculture, 2023, 35(12): 18-32.
[3] ZHU Yiping, ZHU Yi, ZHANG Cheng. Influencing Factors of User Participation Behavior in Online Health Community under the Dimension of Emotional Experience [J]. Journal of Library and Information Science in Agriculture, 2022, 34(10): 15-18.
[4] HAN Zhengbiao, ZHOU Mingfeng, YUE Hang. Rural Residents' Health Information Avoidance Behavior in Lower Risk Disease Context [J]. Journal of Library and Information Science in Agriculture, 2021, 33(11): 4-15.
[5] JIANG Yuyan, LI Yaru. An Analysis of the "Emotion Space Time" Model from the Perspective of Digital Humanity [J]. Journal of Library and Information Science in Agriculture, 2020, 32(6): 23-33.
[6] SUN Ruiying, MA Xiaowei. Government Supply-side Supervision of Online Public Opinion Based on Game Analysis [J]. Journal of Library and Information Science in Agriculture, 2020, 32(2): 29-37.
[7] ZHANG Fengzhe. The Formation Mechanism and Control of the Social Stability Risk of Internet Public Opinion Based on the Social Burning Theory [J]. Journal of Library and Information Science in Agriculture, 2020, 32(2): 22-28.
[8] FENG Li. Sentiment Analysis and Feature Extraction of Weibo Short Text [J]. , 2018, 30(9): 56-60.
[9] ZHAO Yuan. Research on the Relationship of Library Users' Emotion and Their Satisfaction and Loyalty [J]. , 2018, 30(7): 76-79.
[10] AN Na. The Significance and path of "Librarian 2.0" Innovation Talents’ Emotion Management in Universities [J]. , 2017, 29(1): 199-201.
[11] WANG, Jun-wei. Emotion management of Librarians Based on on the Perceived Organization Support of University Librarians [J]. , 2016, 28(3): 199-201.
[12] SHAO Xian-du. Study on the Emotional Management of University Librarian Based on the Mathematical Model of Emotion [J]. , 2015, 27(4): 70-73.
[13] ZENG Yan. Case Study Based on Empirical Cases: The Secret Emotional Labor of Academic Library Reference Job [J]. , 2014, 26(7): 79-81.
[14] ZHANG Jun. The Work of University Library and Emotional Labor [J]. , 2014, 26(7): 105-106.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!