公民参与和机器学习促进更好的民主
Citizen Participation and Machine Learning for a Better Democracy
摘要：
发展民主制度是一项重要任务，联合国将其选为千年可持续发展目标之一，这一点得到了确认。在这篇文章中，我们报告的一个项目，旨在解决的障碍，其中之一是信息过载，实现有效的直接参与民主决策过程中的公民的进展情况。主要目的是探索自然语言处理（NLP）和机器学习的应用是否可以改善公民对数字公民参与平台的体验。以“Decide Madrid”Consul平台为例，该平台使市民能够发布他们希望市议会采纳的政策建议，我们使用NLP和机器学习提供新的方法来（a）向市民提出他们可能希望支持的建议;（b）按兴趣将市民分组，以便他们更容易相互交流;（c）将他们的兴趣与兴趣结合起来。（c）总结针对提案发表的意见;（d）协助公民汇总和制定提案。对结果的评估证实，NLP和机器学习在解决Consul等平台用户目前遇到的一些障碍方面可以发挥作用。
英文摘要：
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 Natural Language Processing (NLP) and machine learning can improve citizens' experience of digital citizen participation platforms. Taking as a case study the "Decide Madrid" 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; (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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
