Abstract
Crowd-scale discussion platforms are receiving great attention as potential next-generation methods for democratic citizen platforms [1, 2, 5, 8]. One of the studies clarified the critical problem faced by human facilitators caused by the difficulty of facilitating large-scale online discussions. In order to address this issue, we implement an automated facilitation agent to manage crowd-scale online discussions. An automated facilitator agent extracts the discussion structure from the texts posted in discussions by people. We conduct large-scale social experiments with several cities including Nagoya city in Japan, and the Kabul city in Afganistan. In this demonstration, we present our current implementation of D-agree, a crowd-scale discussion support system based on an automated facilitation agent, and some results on social experiments.
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Acknowledgement
This work was supported by the JST CREST fund (Grant Number: JPMJCR15E1).
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Ito, T. et al. (2020). Agent-Based Crowd Discussion Support System and Its Societal Experiments. In: Demazeau, Y., Holvoet, T., Corchado, J., Costantini, S. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection. PAAMS 2020. Lecture Notes in Computer Science(), vol 12092. Springer, Cham. https://doi.org/10.1007/978-3-030-49778-1_41
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DOI: https://doi.org/10.1007/978-3-030-49778-1_41
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