IDEAS home Printed from https://ideas.repec.org/a/cog/meanco/v13y2025a9961.html
   My bibliography  Save this article

Scaling Up Good Listening: An Assessment Framework for AI-Powered Mass Deliberation Models

Author

Listed:
  • Ioana Grancea

    (Faculty of Philosophy and Social-Political Sciences, Alexandru Ioan Cuza University of Iași, Romania)

  • Viorel Ţuţui

    (Faculty of Philosophy and Social-Political Sciences, Alexandru Ioan Cuza University of Iași, Romania)

Abstract

The challenges of scaling up deliberative processes to mass audiences have long been highlighted by deliberative theorists. Apart from the difficulty of keeping content quality at a high enough level as more and more people get involved, the technical feasibility of mass participation in a structured form of deliberation has been a serious constraint. The development of digital platforms and AI systems are now making it technically possible to extend structured participation to wider audiences. This article addresses the following question: How can we ensure that good listening is scaled up in these new contexts? Drawing on an analytical framework based on recent contributions in the areas of deliberative democracy and AI, we evaluate the ability of current models of AI-powered mass deliberation to incentivize receptive, responsive, and apophatic listening. We further develop an assessment tool, the “Listening Incentives Score,” that can be used to assess whether AI-powered mass deliberation models provide participants with the adequate channels, facilitation, training, and systems of rewards and sanctions to incentivize them to engage in good listening.

Suggested Citation

  • Ioana Grancea & Viorel Ţuţui, 2025. "Scaling Up Good Listening: An Assessment Framework for AI-Powered Mass Deliberation Models," Media and Communication, Cogitatio Press, vol. 13.
    • Handle: RePEc:cog:meanco:v13:y:2025:a:9961
    DOI: 10.17645/mac.9961
    as

    Download full text from publisher

    File URL: https://www.cogitatiopress.com/mediaandcommunication/article/view/9961
    Download Restriction: no
    File URL: https://libkey.io/10.17645/mac.9961?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:cog:meanco:v13:y:2025:a:9961. 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: António Vieira or IT Department (email available below). General contact details of provider: https://www.cogitatiopress.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.