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Explaining Online News Engagement Based on Browsing Behavior: Creatures of Habit?

机译:根据浏览行为解释在线新闻参与:习惯生物?

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Understanding how citizens keep themselves informed about current affairs is crucial for a functioning democracy. Extant research suggests that in an increasingly fragmented digital news environment, search engines and social media platforms promote more incidental, but potentially more shallow modes of engagement with news compared to the act of routinely accessing a news organization's website. In this study, we examine classic predictors of news consumption to explain the preference for three modes of news engagement in online tracking data: routine news use, news use triggered by social media, and news use as part of a general search for information. In pursuit of this aim, we make use of a unique data set that combines tracking data with survey data. Our findings show differences in predictors between preference for regular (direct) engagement, general search-driven, and social media-driven modes of news engagement. In describing behavioral differences in news consumption patterns, we demonstrate a clear need for further analysis of behavioral tracking data in relation to self-reported measures in order to further qualify differences in modes of news engagement.
机译:了解公民如何让自己通知当前事务对于运作民主至关重要。现场研究表明,在越来越分散的数字新闻环境中,搜索引擎和社交媒体平台促进了更多的偶然,但与常规访问新闻组织网站的行为相比,与新闻的潜在更浅的参与模式。在这项研究中,我们研究了新闻消费的经典预测因子,以解释在线跟踪数据中三种新闻参与模式的偏好:日常新闻使用,由社交媒体触发的新闻使用,以及新闻使用作为一般搜索信息的一部分。为了追求此目的,我们利用唯一的数据集,将跟踪数据与调查数据相结合。我们的研究结果显示了常规(直接)参与,一般搜索和社交媒体驱动的新闻参与模式之间的偏好之间预测因子之间的差异。在描述新闻消费模式中的行为差异时,我们证明了解有关与自我报告措施相关的行为跟踪数据的进一步分析,以进一步符合新闻参与模式的差异。

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