Facebook, Menlo Park, CA 94025, USA.
Facebook, Menlo Park, CA 94025, USA. School of Information, University of Michigan, Ann Arbor, MI, USA.
Science. 2015 Jun 5;348(6239):1130-2. doi: 10.1126/science.aaa1160. Epub 2015 May 7.
Exposure to news, opinion, and civic information increasingly occurs through social media. How do these online networks influence exposure to perspectives that cut across ideological lines? Using deidentified data, we examined how 10.1 million U.S. Facebook users interact with socially shared news. We directly measured ideological homophily in friend networks and examined the extent to which heterogeneous friends could potentially expose individuals to cross-cutting content. We then quantified the extent to which individuals encounter comparatively more or less diverse content while interacting via Facebook's algorithmically ranked News Feed and further studied users' choices to click through to ideologically discordant content. Compared with algorithmic ranking, individuals' choices played a stronger role in limiting exposure to cross-cutting content.
人们越来越多地通过社交媒体获取新闻、观点和公民信息。这些在线网络如何影响跨越意识形态界限的观点的接触?我们使用去识别数据,研究了 1010 万美国 Facebook 用户与社交共享新闻的互动方式。我们直接测量了朋友网络中的意识形态同质性,并考察了异质朋友可能使个人接触交叉内容的程度。然后,我们量化了个人在通过 Facebook 的算法排序的新闻源互动时遇到相对更多或更少不同内容的程度,并进一步研究了用户选择点击与意识形态不一致的内容的情况。与算法排序相比,个人的选择在限制接触交叉内容方面发挥了更强的作用。