IDEAS home Printed from https://ideas.repec.org/a/igg/jthi00/v22y2026i1p1-21.html

How Do Government Chatbots With and Without Deployed Generative AI Influence Institutionalized Political Participation Willingness of Chinese Citizens?

Author

Listed:
  • Tengfei Liu

    (Open University of China, China)

  • Zhongzhu Chu

    (Shanghai Jiao Tong University, China)

  • Yuanyuan Guo

    (Ningbo University, China)

  • Wei Cui

    (Tianjin Normal University, China)

Abstract

This study investigates the potential of generative artificial intelligence (AI) in enhancing institutionalized political participation willingness. By comparing public use scenarios of government service chatbots with and without the deployment of generative AI, the study examines whether generative AI can promote institutionalized political participation willingness among Chinese citizens. The researchers employed a model with political efficacy as a mediator and conducted a scenario-based experiment in Beijing. The results indicate that although the deployment of generative AI in government service chatbots increased institutionalized political participation willingness, it simultaneously reduced political efficacy. This reduction in political efficacy, however, led to a higher level of institutionalized political participation willingness.

Suggested Citation

  • Tengfei Liu & Zhongzhu Chu & Yuanyuan Guo & Wei Cui, 2026. "How Do Government Chatbots With and Without Deployed Generative AI Influence Institutionalized Political Participation Willingness of Chinese Citizens?," International Journal of Technology and Human Interaction (IJTHI), IGI Global Scientific Publishing, vol. 22(1), pages 1-21, January.
    • Handle: RePEc:igg:jthi00:v:22:y:2026:i:1:p:1-21
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTHI.410253
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jthi00:v:22:y:2026:i:1:p:1-21. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.