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

传统上，政府利用公众评论会议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：它们往往只捕获**最极端的观点；它们是静态的、耗时的和昂贵的；它们很容易被**公司或特殊利益集团操纵。但这些方法最致命的批评是，它们未能**捕捉大多数人每天自愿分享的丰富数据：他们的在线社交媒体互动。**系统风险实验室将与Nexalology密切合作，开发一套决策工具，通过分析大量社交媒体帖子和**交流，帮助**政府理解公民的声音并采取行动。这种方法将使公众评论过程现代化，并帮助政府制定**以证据为基础的政策。

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.