Systems for large scale deliberation have resolved polarized issues and shifted agenda setting into the public's hands. These systems integrate bridging-based ranking algorithms - including group informed consensus implemented in Polis and the continuous matrix factorization approach implemented by Twitter Birdwatch - making it possible to highlight statements which enjoy broad support from a diversity of opinion groups. Polis has been productively employed to foster more constructive political deliberation at nation scale in law making exercises. Twitter Birdwatch is implemented with the intention of addressing misinformation in the global public square. From one perspective, Twitter Birdwatch can be viewed as an anti-misinformation system which has deliberative aspects. But it can also be viewed as a first step towards a generalized deliberative system, using Twitter's misinformation problem as a proving ground. In this paper, we propose that Twitter could adapt Birdwatch to produce maps of public opinion. We describe a system in five parts for generalizing Birdwatch: activation of a deliberative system and topic selection, population sampling and the role of expert networks, deliberation, reporting interpretable results and finally distribution of the results to the public and those in power.
翻译:大规模审议系统解决了两极分化问题,将议程安排转移到公众手中,这些系统整合了基于桥梁的排名算法,包括在政治局实施的团体知情共识和Twitter Birdwatch实施的连续矩阵化方法,使得能够突出得到不同舆论团体广泛支持的言论; 利用了大规模审议系统,在立法演练中有效地利用了警察促进国家层面更具建设性的政治审议; 实施了Twitter Birdwatch,目的是在全球公共广场处理错误信息; 从一个角度看,Twitter Birdwatch可被视为一个具有审议方面的反伪信系统; 但也可被视为向普遍审议系统迈出的第一步,利用Twitter的错误信息问题作为证明基础; 在本文中,我们建议Twitter可调整Birdwatch, 制作公众舆论地图; 我们描述一个五部分的总体鸟类观察系统:启动审议系统和主题选择、人口抽样以及专家网络的作用、审议、可解释的结果报告以及向公众和掌权者最后分发结果。