Learning from Incidental Exposure to Political Information in Online Environments
Learning from Incidental Exposure to Political Information in Online Environments
复制标题
从在线环境中偶然接触政治信息中学习
作者：
Andreas Nanz;Jörg Matthes
本文旨在解释在线环境中偶然接触政治信息的学习结果。利用政治附带新闻曝光模型，我们通过区分第一级（即，扫描偶然遇到的信息）和第二级IE（即，努力处理偶然遇到的被评价为相关的信息）。此外，我们概念化基于意图的IE（即，同时寻找非政治内容）和基于主题的IE（即，同时寻找不同的政治内容）。在一个2x2的实验（N = 290）中，我们操纵了受访者的初始处理目标（即，政治或非政治信息）和低（即，第一级IE）对高（即，第二级IE）偶然遇到的信息的相关性。结果表明，第二水平的学习效果比第一水平的IE更强。基于主题和基于意图的信息工程的学习效果没有差异，但第二级信息工程减少了与初始加工目标相关的学习。理论影响进行了讨论。
This article aims to explain learning outcomes of incidental exposure (IE) to political information in online environments. Drawing on the Political Incidental News Exposure Model, we predict learning outcomes by distinguishing between first-level (i.e., scanning of incidentally encountered information) and second-level IE (i.e., effortful processing of incidentally encountered information appraised as relevant). Furthermore, we conceptualize intention-based IE (i.e., while looking for non-political content) and topic-based IE (i.e., while looking for different political content). In a 2x2 experiment (N = 290), we manipulated respondents’ initial processing goal (i.e., political or non-political information) and low (i.e., first-level IE) versus high (i.e., second-level IE) relevance of the incidentally encountered information. Results show stronger learning effects for second level than for first-level IE. Learning effects do not differ between topic-based and intention-based IE, but second-level IE decreases learning related to the initial processing goal. Theoretical implications are discussed.
从偶然新闻曝光到新闻参与度 对新闻帖子和新闻使用模式的看法如何影响 Facebook 上遇到的新闻文章的参与度
DOI：
10.1016/j.chb.2017.06.041
发表时间：
2017
期刊：
Comput. Hum. Behav.
影响因子：
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作者：
Karnowski;Kümpel;Leonhard;Leiner
通讯作者：
Leiner