IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v5y2017i4p310-327n3.html
   My bibliography  Save this article

The Measure Method of Complaint Theme Influence in View of Netizens’ Emotional Resonance

Author

Listed:
  • He Jianmin

    (School of Management, Hefei University of Technology, Hefei, 230009, China)

  • Tian Dongming

    (School of Management, Hefei University of Technology, Hefei, 230009, China)

  • Liu Yezheng

    (School of Management, Hefei University of Technology, Hefei, 230009, China)

Abstract

On the social network platform, complaints about the public policy formulation and implementation issues arise largely. Through the information aggregation, frequent interaction, word-of-mouth and emotional resonance on online social network, these information will lead to the outbreak of the network complaints. It brings difficulties and challenges in public management. China is under a period of social transformation, and there are various problems and contradictions. Emergency can easily arouse group complaints on online network, and it will lead to network public opinion through inducing social emotional resonance, which is harmful to social security and stability. This paper has built the evaluation index system from four dimensions with complaint text’s quality, transmission timeliness, user interaction degree and emotional resonance excited by emergency. Then, we establish the dynamic influence measure model of online netizens complaint theme based on an entropy weight model. The measure model is proved to be reasonable and effective by the empirical research of Sina Weibo data. The model can effectively solve the measure problem of group complaints influence when the emergencies arouse social emotional resonance. It has important theoretical significance and practical value for public policy decision-maker on listening to online group complaints, understanding public opinion, and making public policy.

Suggested Citation

  • He Jianmin & Tian Dongming & Liu Yezheng, 2017. "The Measure Method of Complaint Theme Influence in View of Netizens’ Emotional Resonance," Journal of Systems Science and Information, De Gruyter, vol. 5(4), pages 310-327, August.
  • Handle: RePEc:bpj:jossai:v:5:y:2017:i:4:p:310-327:n:3
    DOI: 10.21078/JSSI-2017-310-18
    as

    Download full text from publisher

    File URL: https://doi.org/10.21078/JSSI-2017-310-18
    Download Restriction: no

    File URL: https://libkey.io/10.21078/JSSI-2017-310-18?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:jossai:v:5:y:2017:i:4:p:310-327:n:3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.