Antecedents of News Avoidance: Competing Effects of Political Interest, News Overload, Trust in News Media, and "News Finds Me" Perception

被引:43
|
作者
Goyanes, Manuel [1 ,3 ,4 ]
Ardevol-Abreu, Alberto [2 ,3 ,4 ,5 ]
Gil de Zuniga, Homero [3 ,4 ,6 ,7 ]
机构
[1] Carlos III Univ, Dept Commun, Madrid, Spain
[2] Univ La Laguna, Inst Univ Neurociencia, San Cristobal la Laguna, Spain
[3] Univ Salamanca, Democracy Res Unit, Salamanca, Spain
[4] Univ La Laguna, Democracy Res Unit, San Cristobal la Laguna, Spain
[5] Univ La Laguna, Lab Invest Medios & Sus Efectos, San Cristobal la Laguna, Spain
[6] Penn State Univ, Media Effects Res Lab, University Pk, PA 16802 USA
[7] Univ Diego Portales, Fac Comunicac & Letras, Santiago, Chile
关键词
News avoidance; political interest; news overload; trust in news media; news finds me" perception; new media; SOCIAL MEDIA; INFORMATION OVERLOAD; EXPOSURE; CONSUMPTION; ENTERTAINMENT; KNOWLEDGE;
D O I
10.1080/21670811.2021.1990097
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Recent changes in the media environment make it easier than ever for people to actively shape their news repertoires according to their habits, needs, and preferences. As convenient as these practices seem, they may favor the development of misperceptions such as "news finds me" perception (NFM) and make it easier for some people to disconnect from news and political content. Building on the conceptualization of news avoidance as a general disposition and its consequential behaviors, this study jointly examines key individual-level predispositions that may motivate intentional news avoidance. Based on a two-wave survey collected in the United States, our results largely corroborate previous work showing the association of political interest, news overload, and trust in professional news with news avoidance, and stress the importance of including the NFM in the theoretical and empirical modelling of news avoidance. Our analyses also suggest that the linkages between these individual-level antecedents and news avoidance are contingent upon the design and robustness of the empirical tests, with NFM yielding the most consistent association across models.
引用
收藏
页码:1 / 18
页数:18
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