E-participation enables citizens to have an impact on policy-making through electronic means. Two of the most popular channels are social media and dedicated e-participation platforms. However, the ideas, comments, discussions of citizens on these two channels generate a lot of data to be processed by political representatives or public agents afterwards. Despite the existence of various techniques for social media analytics, literature is scarce regarding the analysis techniques to mine e-participation platforms as well as the possible combination of insights between the two channels.

In order to address these gaps, we design a policy analytics framework to leverage insights from e-participation platforms and social media through relevant data analytics to support policy-making. In order to do so, we rely on the Design Science Research methodology. Through the analysis of four different cities in Belgium (Liège, Mons, Marche-en-Famenne, Leuven), we identify policy-makers' requirements and needs of information from platforms and social media. Then, we explore data analysis techniques to address those requirements. Finally, we design an actionable framework, present it as an interactive dashboard and iteratively test it on the case of Liège. This policy analytics framework supports each step of the traditional policy-making process with appropriate data analytics applied to the two sources.

电子参与使公民能够通过电子方式对政策制定产生影响。两个最受欢迎的渠道是社交媒体和专门的电子参与平台。然而，公民在这两个渠道上的想法、评论、讨论会产生大量数据，随后由政治代表或公共代理人进行处理。尽管存在用于社交媒体分析的各种技术，但关于挖掘电子参与平台的分析技术以及两个渠道之间可能的洞察力组合的文献很少。

为了解决这些差距，我们设计了一个政策分析框架，通过相关数据分析利用来自电子参与平台和社交媒体的见解来支持政策制定。为了做到这一点，我们依靠设计科学研究方法。通过对比利时四个不同城市（列日、蒙斯、Marche-en-Famenne、鲁汶）的分析，我们确定了政策制定者对来自平台和社交媒体的信息的要求和需求。然后，我们探索数据分析技术来满足这些要求。最后，我们设计了一个可操作的框架，将其呈现为一个交互式仪表板，并在 Liège 的案例上对其进行迭代测试。该政策分析框架通过对两个来源应用适当的数据分析来支持传统政策制定过程的每一步。