Department of Communication, Johannes Gutenberg University Mainz, 55099 Mainz, Germany;
Department of Communication, University of Hohenheim, 70599 Stuttgart, Germany.
Proc Natl Acad Sci U S A. 2020 Feb 11;117(6):2761-2763. doi: 10.1073/pnas.1918279117. Epub 2020 Jan 27.
Research has prominently assumed that social media and web portals that aggregate news restrict the diversity of content that users are exposed to by tailoring news diets toward the users’ preferences. In our empirical test of this argument, we apply a random-effects within–between model to two large representative datasets of individual web browsing histories. This approach allows us to better encapsulate the effects of social media and other intermediaries on news exposure. We find strong evidence that intermediaries foster more varied online news diets. The results call into question fears about the vanishing potential for incidental news exposure in digital media environments.
研究突出地假设,聚合新闻的社交媒体和网络门户通过根据用户偏好定制新闻饮食来限制用户接触到的内容多样性。在对这一论点的实证检验中,我们应用了一种随机效应的个体内-个体间模型,该模型应用于两个大型的个体网络浏览历史的代表性数据集。这种方法使我们能够更好地概括社交媒体和其他中介机构对新闻接触的影响。我们有强有力的证据表明,中介机构促进了更加多样化的在线新闻饮食。研究结果质疑了关于数字媒体环境中偶然新闻接触潜力消失的担忧。