突发事件网络新闻与网民信息需求表达的协整分析——基于问题胶囊事件的实证研究

Abstract

Abstract:

This paper, which is based on co-integration theory, uses the Engel-Granger test and Granger causality analysis to build a model which is used to verify the causal and effect relationship between web news and netizens’ information need in emergency situation. The result shows that there is a unidirectional causality from web news to netizens’ information need, and there is also an equilibrium relationship between web news and netizens’ information need.

Key words: Public health emergencies;　Web news;　Netizens&rsquo, information need;　Cointegration theory;
Engel-Granger test;　Granger causality

CLC Number:

G203

Li Gang　Chen Jinghao. Study of the Relationship between Web News and Netizens’Information Need by the Method of Cointegration Analysis——Base on Inferior Capsule Event[J]. Journal of Information Resources Management, 2013, 3(2): 59-66.

[1]	Ran Congjing　Duan Wenjiao　He Mengting. The Construction of a Critical Data Governance System Based on Piezoelectric Theory from a Sovereignty Perspective [J]. Journal of Information Resources Management, 2024, 14(1): 33-43.
[2]	Lin Xin　Du Ying. The Connotation, Construction Ideas, and Key Issues of “High-end Communication Platform”: Overview of the Seminar on the Construction of the National High-end Communication Platform for Research Papers and Scientific and Technological Information [J]. Journal of Information Resources Management, 2024, 14(1): 146-152.
[3]	Luo Wei　Tian Changhai　Mao Bin　Wu Shuyi　Liu Pengnian. Exploration and Reflection on Intelligent Mining and Service of Science & Technology Information Resources [J]. Journal of Information Resources Management, 2024, 14(1): 22-28.
[4]	Wang Xiaoguang　Hou Xilong. The Construction of Cultural Heritage Smart Data for the Inheritance and Activation [J]. Journal of Information Resources Management, 2023, 13(5): 5-14，43.
[5]	Zhu Ziyang　Wang Weikang. Protection Mode of Personal Financial Information in the Era of Fintech [J]. Journal of Information Resources Management, 2023, 13(5): 102-114.
[6]	Hu Mo　Zheng Yanning　Zhou Ningren. Cross-chain Collaborative Mode for Medical-nursing Care Information by Polkadot Cross-chain Technology [J]. Journal of Information Resources Management, 2023, 13(5): 115-125，148.
[7]	Yu Mengli　Shen Wenhan　Zheng Bowen. Research on the Motivation of Social Media Information Deletion：Take WeChat Moments as an Example [J]. Journal of Information Resources Management, 2023, 13(4): 84-95,121.
[8]	Zhang Guangyao　Xie Weixi　Jiang Chunlin　Wang Xianwen. Research On Relationship Between Peer Review Speed and the Impact of Paper in Second Literature: Taking the Speed of Choosing Paper as a Perspective [J]. Journal of Information Resources Management, 2023, 13(4): 140-150.
[9]	Ran Congjing　Liu Yan. The Establishment of the National Data Bureau and the Expansion of Information Resource Management Disciplines [J]. Journal of Information Resources Management, 2023, 13(4): 6-9.
[10]	Yang Siyi　Dou Yifan. Best Deals for Livestreaming Fans:A Negotiation Model under the Anchor’ s Reputation Concern [J]. Journal of Information Resources Management, 2023, 13(3): 100-111.
[11]	Liu Qihua　Peng Sijie　Xu Liyang　Zhou Jingyi. The Effect of the Anti-monopoly of Platform Economy on Community Group-buying Users’ Discontinuance Intention: A Perspective of Perceived Price and Disconfirmation [J]. Journal of Information Resources Management, 2023, 13(3): 39-60.
[12]	Zhao Wenjun　Meng Kai　Ma Jinhui　Ni Zhifei. Influencing Factors of Online Health Information Searching Behavior Based on DEMATEL-ISM：From a Meta-analysis of Empirical Studies at Home and Abroad [J]. Journal of Information Resources Management, 2023, 13(2): 53-66.
[13]	Han Xi　Jiang Peiyao　Han Wenting　Zhu Qinghua. Influencing Factors of Doctors’ Online Rating Information Characteristics: Based on Social Capital Theory and Social Exchange Theory [J]. Journal of Information Resources Management, 2023, 13(1): 78-90.
[14]	Ma Feicheng. Building Consensus and Promoting the First-Level Discipline Construction of Information Resource Management [J]. Journal of Information Resources Management, 2023, 13(1): 4-8.
[15]	Fang Lingzhi　Zhao Xing. Research on Metaverse Spatial Operation Based on QCA from Perspective of Service-dominant Logic [J]. Journal of Information Resources Management, 2023, 13(1): 18-28.

Study of the Relationship between Web News and Netizens’Information Need by the Method of Cointegration Analysis——Base on Inferior Capsule Event

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments