走向机器辅助参与规则制定:可评估性的论证模型

Joonsuk Park, Cheryl Blake, Claire Cardie
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引用次数: 32

摘要

规则制定是一项利用在线工具促进公众更广泛、更好地参与规则制定的持续努力。规则制定是联邦机构用来制定新的健康、安全和经济法规的多步骤过程。然而,非专业公民的参与越来越多,导致了政府机构和公民难以评估其有效性或强度的论点数量的增长。这种论点通常忽略了提供结论的理由和客观证据,以证明其论点所依据的事实主张。在本文中,我们提出了一种新的论证模型,用于捕获规则制定中用户评论的可评估性。该模型旨在用于实现自动化系统,以帮助用户在在线评论环境下构建可评估的论点,从而以低成本获得快速反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward machine-assisted participation in eRulemaking: an argumentation model of evaluability
eRulemaking is an ongoing effort to use online tools to foster broader and better public participation in rulemaking --- the multi-step process that federal agencies use to develop new health, safety, and economic regulations. The increasing participation of non-expert citizens, however, has led to a growth in the amount of arguments whose validity or strength are difficult to evaluate, both by the government agencies and fellow citizens. Such arguments typically neglect to provide the reasons for the conclusions and objective evidence for factual claims upon which the arguments are based. In this paper, we propose a novel argumentation model for capturing the evaluability of user comments in eRulemaking. This model is intended to be used for implementing automated systems to assist users in constructing evaluable arguments under online commenting environment for the benefit of quick feedback at a low cost.
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