个人用户对Facebook政治页面的参与

Yannick Winkler, Marko Bachl, Michael Scharkow
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引用次数: 0

摘要

Facebook等社交媒体平台使公民能够通过参与政党和政治家的内容来参与政治。大多数研究都是通过调查自我报告、结合调查和数字痕迹数据的小样本研究或大规模综合数字痕迹数据来描述这些活动的。目前的文献缺乏对个人用户与政治内容互动的大规模描述性描述。我们分析了2017年德国联邦选举年大规模收集的个人层面Facebook用户数据。这些数据包含了超过250万独立用户在德国主要政党的320个Facebook页面上的数百万次互动。它们包括几乎所有与这些页面上的内容进行公开交互的可能方式,由于新的访问限制,目前无法收集这些内容。很大一部分用户只参与了一次,尤其是在顶级政客的页面上,或者只与一个页面进行了互动。然而,我们也发现了一个相当大的用户群体,他们在许多不同的页面上活跃,甚至跨越了党派界限,这些用户负责几乎所有页面上的大多数评论和反应。此外,在主要国家政党页面和顶级政治家页面的用户参与度方面,另一方面,在不太突出的页面上,用户参与度存在实质性差异。我们的大规模定量描述为以前和未来的小规模深入分析提供了背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Individual users' participation on political Facebook pages
Social media platforms such as Facebook enable citizens to participate in politics by engaging with content from parties and politicians. Most research has described these activites by means of survey self-reports, smaller sample studies which combined surveys and digital trace data, or larger-scale aggregate digital trace data. The current literature lacks a large-scale descriptive account of individual users' interactions with political content. We analyze a large-scale collection of individual-level Facebook user data from the German federal election year 2017. The data contain millions of interactions by over 2.5 million unique users on 320 Facebook pages of major parties in Germany. They include almost all possible ways to publicly interact with content on these pages and as such cannot be collected today due to newer access restrictions. A large share of users participated only once, especially on the top politicians' pages, or interacted only with a single page. However, we also found a sizeable group of users who were active on many different pages even across party boundaries, and that these users were responsible for a majority of comments and reactions on almost all pages. In addition, there were substantial differences in user participation on the main national party pages and the ones of top politicians on the one hand, and the less prominent pages on the other hand. Our large-scale quantitative description provides context for previous and future smaller-scale in-depth analyses.
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