Department of Government, Dartmouth College, Hanover, NH, USA.
Department of Government and Data Science, William and Mary, Williamsburg, VA, USA.
Nature. 2023 Aug;620(7972):137-144. doi: 10.1038/s41586-023-06297-w. Epub 2023 Jul 27.
Many critics raise concerns about the prevalence of 'echo chambers' on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments have made it difficult to assess the scope of the problem. Here we present data from 2020 for the entire population of active adult Facebook users in the USA showing that content from 'like-minded' sources constitutes the majority of what people see on the platform, although political information and news represent only a small fraction of these exposures. To evaluate a potential response to concerns about the effects of echo chambers, we conducted a multi-wave field experiment on Facebook among 23,377 users for whom we reduced exposure to content from like-minded sources during the 2020 US presidential election by about one-third. We found that the intervention increased their exposure to content from cross-cutting sources and decreased exposure to uncivil language, but had no measurable effects on eight preregistered attitudinal measures such as affective polarization, ideological extremity, candidate evaluations and belief in false claims. These precisely estimated results suggest that although exposure to content from like-minded sources on social media is common, reducing its prevalence during the 2020 US presidential election did not correspondingly reduce polarization in beliefs or attitudes.
许多评论家对社交媒体中“回音室”的普遍存在及其在加剧政治极化方面的潜在作用表示担忧。然而,由于缺乏可用数据以及进行大规模现场实验的挑战,要评估这个问题的范围一直很困难。在这里,我们提供了 2020 年来自美国所有活跃成年 Facebook 用户的数据,这些数据表明,来自“志同道合”的来源的内容构成了人们在该平台上看到的大部分内容,尽管政治信息和新闻只占这些内容的一小部分。为了评估对回音室效应的担忧的潜在应对措施,我们在 Facebook 上对 23377 名用户进行了多波实地实验,在此期间,我们将这些用户在 2020 年美国总统选举期间接触志同道合来源的内容减少了约三分之一。我们发现,干预措施增加了他们对跨领域内容的接触,并减少了对不文明语言的接触,但对八项预先注册的态度衡量标准没有可衡量的影响,如情感极化、意识形态极端、候选人评价和对虚假主张的信任。这些精确估计的结果表明,尽管社交媒体上来自志同道合的内容的接触很常见,但在 2020 年美国总统选举期间减少其流行度并不会相应减少信念或态度的极化。