Predicting the Outcome of Deliberative Democracy: A Research Proposal

Conor McKillop (Lead / Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As liberal states across the world face a decline in political participation by citizens, deliberative democracy is a promising solution for the public’s decreasing confidence and apathy towards the democratic process. Deliberative dialogue is method of public interaction that is fundamental to the concept of deliberative democracy. The ability to identify and predict consensus in the dialogues could bring greater accessibility and transparency to the face-to-face participatory process. The paper sets out a research plan for the first steps at automatically identifying and predicting consensus in a corpus of German language debates on hydraulic fracking. It proposes the use of a unique combination of lexical, sentiment, durational and further ‘derivative’ features of adjacency pairs to train traditional classification models. In addition to this, the use of deep learning techniques to improve the accuracy of the classification and prediction tasks is also discussed. Preliminary results at the classification of utterances are also presented, with an F1 between 0.61 and 0.64 demonstrating that the task of recognising agreement is demanding but possible.
Original languageEnglish
Title of host publicationProceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Subtitle of host publicationStudent Research Workshop
EditorsFernando Alva-Manchego, Eunsol Choi, Daniel Khashabi
PublisherAssociation for Computational Linguistics
Pages100-105
Number of pages6
DOIs
Publication statusPublished - Jul 2019
Event57th Annual Meeting of the Association for Computational Linguistics - Florence, Italy
Duration: 1 Jul 20191 Jul 2019

Conference

Conference57th Annual Meeting of the Association for Computational Linguistics
CountryItaly
CityFlorence
Period1/07/191/07/19

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  • Cite this

    McKillop, C. (2019). Predicting the Outcome of Deliberative Democracy: A Research Proposal. In F. Alva-Manchego, E. Choi, & D. Khashabi (Eds.), Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (pp. 100-105). Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-2013