Decades of research on climate have provided a consensus that human activity has changed the climate and we are currently heading into a climate crisis. While public discussion and research efforts on climate change mitigation have increased, potential solutions need to not only be discussed but also effectively deployed. For preventing mismanagement and holding policy makers accountable, transparency and degree of information about government processes have been shown to be crucial. However, currently the quantity of information about climate change discussions and the range of sources make it increasingly difficult for the public and civil society to maintain an overview to hold politicians accountable. In response, we propose a multi-source topic aggregation system (MuSTAS) which processes policy makers speech and rhetoric from several publicly available sources into an easily digestible topic summary. MuSTAS uses novel multi-source hybrid latent Dirichlet allocation to model topics from a variety of documents. This topic digest will serve the general public and civil society in assessing where, how, and when politicians talk about climate and climate policies, enabling them to hold politicians accountable for their actions to mitigate climate change and lack thereof.
翻译:数十年的气候研究使人们一致认为,人类活动改变了气候,我们目前正面临气候危机。虽然关于减缓气候变化的公共讨论和研究努力有所增加,但不仅需要讨论,而且需要有效部署潜在的解决办法。为了防止管理不善和让决策者负责,关于政府进程的透明度和信息水平都证明至关重要。但是,目前关于气候变化讨论的信息数量和来源范围使公众和民间社会越来越难以保持对政治家问责的概览。对此,我们提议建立一个多来源专题汇总系统(MuSTAS),将若干公开来源的决策者言论和言论纳入易于消化的专题摘要。MustAS利用新颖的多来源混合潜伏Drichlet对各种文件的示范专题进行分配。该专题摘要将有助于公众和民间社会评估政治家在哪些方面、如何以及何时谈论气候和气候政策,使他们能够对减轻气候变化和缺乏气候变化的行动承担责任。