Mapping social dynamics on Facebook: The Brexit debate
Mapping social dynamics on Facebook: The Brexit debate
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DOI：
10.1016/j.socnet.2017.02.002
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发表时间：
2017-07-01
期刊：
影响因子：
3.1
通讯作者：
Quattrociocchi, Walter
中科院分区：
文献类型：
--
作者：
Del Vicario, Michela;Zollo, Fabiana;Quattrociocchi, Walter
如今，用户通过社交媒体获得信息并形成他们的观点。然而，对内容的非中介化访问并不能保证信息的质量。事实上，选择性曝光和确认偏差已经被证明在内容消费和信息传播中起着关键作用。用户倾向于选择符合（和加强）他们的世界观的信息，而忽略不同意的信息。这种模式暗示了极化群体的形成--即，与志趣相投的人的互动甚至可能加强两极分化。在这项工作中，我们解决了英国脱欧在Facebook上的新闻消费。特别是，我们对2016年1月至7月期间与主要新闻提供商的Brexit相关帖子互动的100多万用户进行了大量分析。我们发现，消费模式引发了两个不同社区的新闻媒体的出现。此外，为了更好地描述内部群体动态，我们引入了一种新的技术，结合自动主题提取和情感分析。我们比较了相同的主题如何在帖子上呈现以及评论上的相关情感反应，发现两个回声室存在显着差异，并且极化影响了主题的感知。我们的研究结果提供了重要的见解的决定因素的极化和演变的核心叙事在线辩论。(C)2017爱思唯尔B. V.保留所有权利。
Nowadays users get informed and shape their opinion through social media. However, the disintermediated access to contents does not guarantee quality of information. Selective exposure and confirmation bias, indeed, have been shown to play a pivotal role in content consumption and information spreading. Users tend to select information adhering (and reinforcing) their worldview and to ignore dissenting information. This pattern elicits the formation of polarized groups - i.e., echo chambers where the interaction with like-minded people might even reinforce polarization. In this work we address news consumption around Brexit in UK on Facebook. In particular, we perform a massive analysis on more than I million users interacting with Brexit related posts from the main news providers between January and July 2016. We show that consumption patterns elicit the emergence of two distinct communities of news outlets. Furthermore, to better characterize inner group dynamics, we introduce a new technique which combines automatic topic extraction and sentiment analysis. We compare how the same topics are presented on posts and the related emotional response on comments finding significant differences in both echo chambers and that polarization influences the perception of topics. Our results provide important insights about the determinants of polarization and evolution of core narratives on online debating. (C) 2017 Elsevier B.V. All rights reserved.