Toward machine learning-based facilitation for online discussion in crowd-scale deliberation

抄録

The objective of this paper is to develop machine learning-based facilitation agent for facilitating online discussion in collective intelligence, particularly for online discussion in deliberation. The main idea is to model facilitator’s human behaviour by using machine learning technique, case-based reasoning paradigm,. After introducing the details of the proposed machine learning-based approach for facilitation of online discussion, the paper presents some preliminary results along with some outline of the on-going research tasks and future work. The results demonstrate that it is feasible and effective to develop machine learning-based agent for smoothing the discussion and achieving a consensus.