Department Computational Social Science, GESIS - Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667 Cologne, Germany.
School of Social Sciences, University of Mannheim, Mannheim, Germany.
Sci Adv. 2024 Sep 13;10(37):eadg9287. doi: 10.1126/sciadv.adg9287.
Today's high-choice digital media environments allow citizens to completely refrain from online news exposure and, if they do use news, to select sources that align with their ideological preferences. Yet due to measurement problems and cross-country differences, recent research has been inconclusive regarding the prevalence of ideological self-selection into like-minded online news. We introduce a multi-method design combining the web-browsing histories and survey responses of more than 7000 participants from six major democracies with supervised text classification to separate political from nonpolitical news exposure. We find that political online news exposure is both substantially less prevalent and subject to stronger ideological self-selection than nonpolitical online news exposure, especially in the United States. By highlighting the peculiar role of political news content, the results improve the understanding of online news exposure and the role of digital media in democracy.
如今,高度多样化的数字媒体环境使公民完全可以避免接触网络新闻,如果他们确实在使用新闻,也可以选择符合其意识形态偏好的新闻来源。然而,由于测量问题和国家间的差异,最近的研究对于思想上的自我选择是否会导致人们在网络新闻上出现趋同,尚无定论。我们采用了一种多方法设计,结合了来自六大民主国家的 7000 多名参与者的网络浏览历史和调查回复,并结合监督文本分类,将政治新闻和非政治新闻区分开来。我们发现,与非政治网络新闻相比,政治网络新闻的接触率要低得多,而且受到的意识形态自我选择的影响也更强,尤其是在美国。这些结果通过突出政治新闻内容的特殊作用,提高了人们对网络新闻接触率以及数字媒体在民主中的作用的理解。