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Pract."],"published-print":{"date-parts":[[2021,7,31]]},"abstract":"<jats:p>The development of democratic systems is a crucial task as confirmed by its selection as one of the Millennium Sustainable Development Goals by the United Nations. In this article, we report on the progress of a project that aims to address barriers, one of which is information overload, to achieving effective direct citizen participation in democratic decision-making processes. The main objectives are to explore if the application of<jats:bold>Natural Language Processing<\/jats:bold>(<jats:bold>NLP<\/jats:bold>) and machine learning can improve citizens\u2019 experience of digital citizen participation platforms. Taking as a case study the \u201cDecide Madrid\u201d Consul platform, which enables citizens to post proposals for policies they would like to see adopted by the city council, we used NLP and machine learning to provide new ways to (a) suggest to citizens proposals they might wish to support; (b) group citizens by interests so that they can more easily interact with each other; (c) summarise comments posted in response to proposals; and (d) assist citizens in aggregating and developing proposals. Evaluation of the results confirms that NLP and machine learning have a role to play in addressing some of the barriers users of platforms such as Consul currently experience.<\/jats:p><jats:p>CCS concepts: \u2022 Human-centred computing\u2192Collaborative and social computing \u2022 Computing methodologies\u2192Artificial intelligence\u2192Natural language processing<\/jats:p>","DOI":"10.1145\/3452118","type":"journal-article","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T14:15:39Z","timestamp":1620137739000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":72,"title":["Citizen Participation and Machine Learning for a Better Democracy"],"prefix":"10.1145","volume":"2","author":[{"given":"Miguel","family":"Arana-Catania","sequence":"first","affiliation":[{"name":"University of Warwick Coventry and Alan Turing Institute, London, UK"}]},{"given":"Felix-Anselm Van","family":"Lier","sequence":"additional","affiliation":[{"name":"Max Planck Institute, Halle, Germany"}]},{"given":"Rob","family":"Procter","sequence":"additional","affiliation":[{"name":"University of Warwick Coventry and Alan Turing Institute, London, UK"}]},{"given":"Nataliya","family":"Tkachenko","sequence":"additional","affiliation":[{"name":"University of Oxford, Oxford, UK"}]},{"given":"Yulan","family":"He","sequence":"additional","affiliation":[{"name":"University of Warwick Coventry and Alan Turing Institute, London, UK"}]},{"given":"Arkaitz","family":"Zubiaga","sequence":"additional","affiliation":[{"name":"Queen Mary University of London, London, UK"}]},{"given":"Maria","family":"Liakata","sequence":"additional","affiliation":[{"name":"Queen Mary University of London, London, UK"}]}],"member":"320","published-online":{"date-parts":[[2021,7,11]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"2016 49th Hawaii International Conference on System Sciences (HICSS\u201916)","author":"Aitamurto Tanja","year":"2016","unstructured":"Tanja Aitamurto . 2016 . 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