Evaluating the relationship between news source sharing and political beliefs

被引:0
|
作者
del Pozo, Sofia M. [1 ,2 ]
Pinto, Sebastian [1 ,2 ]
Serafino, Matteo [3 ]
Moss, Federico [1 ]
Cicchini, Tomas [1 ,4 ]
Makse, Hernan A. [3 ]
Balenzuela, Pablo [1 ,2 ]
机构
[1] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Fis, Buenos Aires, Argentina
[2] Univ Buenos Aires, Inst Fis Interdisciplinaria & Aplicada INFINA, CONICET, Buenos Aires, Argentina
[3] CUNY City Coll, Levich Inst, Phys Dept, New York, NY 10031 USA
[4] Univ Buenos Aires, Fac Ciencias Exactas & Nat, CONICET, Inst Calculo IC, Buenos Aires, Argentina
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
News sharing; Social media; Correspondence analysis; Political leanings; POLARIZATION; ARGENTINA;
D O I
10.1038/s41598-024-84110-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In an era marked by an abundance of news sources, access to information significantly influences public opinion. Notably, the bias of news sources often serves as an indicator of individuals' political leanings. This study explores this hypothesis by examining the news sharing behavior of politically active social media users, whose political ideologies were identified in a previous study. Using correspondence analysis, we estimate the Media Sharing Index (MSI), a measure that captures bias in media outlets and user preferences within a hidden space. During Argentina's 2019 election on Twitter, we observed a predictable pattern: center-right individuals predominantly shared media from center-right biased outlets. However, it is noteworthy that those with center-left inclinations displayed a more diverse media consumption, which is a significant finding. Despite a noticeable polarization based on political affiliation observed in a retweet network analysis, center-left users showed more diverse media sharing preferences, particularly concerning the MSI. Although these findings are specific to Argentina, the developed methodology can be applied in other countries to assess the correlation between users' political leanings and the media they share.
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收藏
页数:9
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