Political polarization appears to be on the rise, as measured by voting behavior, general affect towards opposing partisans and their parties, and contents posted and consumed online. Research over the years has focused on the role of the Web as a driver of polarization. In order to further our understanding of the factors behind online polarization, in the present work we collect and analyze Web browsing histories of tens of thousands of users alongside careful measurements of the time spent browsing various news sources. We show that online news consumption follows a polarized pattern, where users' visits to news sources aligned with their own political leaning are substantially longer than their visits to other news sources. Next, we show that such preferences hold at the individual as well as the population level, as evidenced by the emergence of clear partisan communities of news domains from aggregated browsing patterns. Finally, we tackle the important question of the role of user choices in polarization. Are users simply following the links proffered by their Web environment, or do they exacerbate partisan polarization by intentionally pursuing like-minded news sources? To answer this question, we compare browsing patterns with the underlying hyperlink structure spanned by the considered news domains, finding strong evidence of polarization in partisan browsing habits beyond that which can be explained by the hyperlink structure of the Web.
翻译:以投票行为衡量,政治两极分化似乎呈上升趋势,这表现在投票行为、对反对党派及其政党的普遍影响、在线张贴和消费的内容。多年来的研究侧重于网络作为极化驱动因素的作用。为了加深我们对在线两极分化背后因素的理解,我们在目前的工作中收集和分析数万用户的网络浏览历史,同时仔细测量浏览各种新闻来源的时间。我们显示,在线新闻消费遵循一种极化模式,用户访问与其政治倾斜一致的新闻来源的时间大大长于他们访问其他新闻来源的时间。接下来,我们显示,这种偏好既存在于个人,也存在于人口层面,这表现在从汇总浏览模式中出现的明确的党派新闻领域。最后,我们处理用户选择在两极化中的作用这一重要问题。用户只是跟随其网络环境所显示的链接,还是他们通过有意寻找志同的信息来源来加剧党派对等的对等两极分化?为了回答这一问题,我们比较了个人和人口层面的偏好模式,我们把这种偏向性模式与基本的超度结构的超度模式比起来,这种超度结构通过认为具有强烈的超度的超度的超度的网络的超度结构,可以找到强烈的超度结构的超度证据。