The limited information (data voids) on political topics relevant to underrepresented communities has facilitated the spread of disinformation. Independent journalists who combat disinformation in underrepresented communities have reported feeling overwhelmed because they lack the tools necessary to make sense of the information they monitor and address the data voids. In this paper, we present a system to identify and address political data voids within underrepresented communities. Armed with an interview study, indicating that the independent news media has the potential to address them, we designed an intelligent collaborative system, called Datavoidant. Datavoidant uses state-of-the-art machine learning models and introduces a novel design space to provide independent journalists with a collective understanding of data voids to facilitate generating content to cover the voids. We performed a user interface evaluation with independent news media journalists (N=22). These journalists reported that Datavoidant's features allowed them to more rapidly while easily having a sense of what was taking place in the information ecosystem to address the data voids. They also reported feeling more confident about the content they created and the unique perspectives they had proposed to cover the voids. We conclude by discussing how Datavoidant enables a new design space wherein individuals can collaborate to make sense of their information ecosystem and actively devise strategies to prevent disinformation.
翻译:与代表人数不足的社区有关的政治议题信息(数据空白)有限,这为散布虚假信息提供了便利。在代表人数不足的社区打击虚假信息的独立记者报告说,他们缺乏必要的工具来了解他们监测和处理数据空白的信息,因此感到不堪重负。在本文中,我们提出了一个系统来查明和处理代表性不足的社区的政治数据空白。我们进行了访谈研究,表明独立新闻媒体有解决这些问题的潜力,我们设计了一个智能合作系统,称为 " 数据避漏 " 。数据避漏者使用最新的机器学习模式,并引入了一个新的设计空间,为独立记者提供集体理解数据空白的空间,以便利生成覆盖空白内容的内容。我们与独立新闻媒体记者进行了用户界面评价(N=22)。这些记者报告说,数据隐漏者的特点使他们能够更快地了解和处理数据空白的信息生态系统中正在发生的情况,同时容易地了解信息空白。他们还报告说,他们更有信心地感受到他们创造的内容和他们提出的掩盖空白的独特观点。我们最后通过讨论数据避漏者如何使新的设计空间能够使个人能够积极制定生态系统战略。