Algorithmic Democratic Engagement: Automating decision analytic techniques in a social media context to achieve deliberative democracy and responsive governance

算法民主参与：在社交媒体环境中自动化决策分析技术，以实现协商民主和响应式治理

• 批准号: 530878-2018
• 负责人: Schmitt, Ketra
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=664495
• 关键词: Algorithmic; Democratic; Engagement; Automating; decision

Governments traditionally use public comment sessions and town hall meetings to assess constituent opinion**on policy issues. These methods are vulnerable to a range of data input problems: they tend to capture only the**most extreme opinions; they are static, time consuming and expensive; they can easily be manipulated by**corporations or special interest groups. But the most damning critique of these methods is that they fail to**capture the wealth of data that most people share willingly every day: their online social media interactions.**Working closely with Nexalogy, the Systems Risk lab will develop a set of decision-making tools to help**governments understand and act on the voice of citizens by analyzing a wide array of social media posts and**communications. This approach will modernize the public comment process and help governments create**policies that are evidence-based.

政府传统上利用公众评论会和市政厅会议来评估选民对政策问题的意见。这些方法容易受到一系列数据输入问题的影响：它们往往只捕捉最极端的观点;它们是静态的，耗时且昂贵;它们很容易被公司或特殊利益集团操纵。但对这些方法最严厉的批评是，它们未能捕获大多数人每天自愿分享的数据财富：他们的在线社交媒体互动。与Nexalogy密切合作，系统风险实验室将开发一套决策工具，通过分析广泛的社交媒体帖子和通信，帮助 ** 政府了解公民的声音并采取行动。这种方法将使公众意见征询过程现代化，并帮助政府制定基于证据的政策。