A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities
A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities
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DOI：
10.1109/bigdata52589.2021.9671843
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
Yuping Wang;Savvas Zannettou;Jeremy Blackburn;B. Bradlyn;Emiliano De Cristofaro;G. Stringhini
中科院分区：
文献类型：
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作者：
Yuping Wang;Savvas Zannettou;Jeremy Blackburn;B. Bradlyn;Emiliano De Cristofaro;G. Stringhini
新闻生态系统包括各种各样的来源，具有不同的可信度，公众评论对同一个故事有不同的解释。在本文中，我们提出了一个测量管道，能够识别新闻文章，讨论同一个故事，并跟踪他们是如何在多个在线社区共享。我们编制了一个包含1,073个新闻网站的列表，并从四个网络社区（Twitter、Reddit、4chan和Gab）中提取了包含这些来源的URL的帖子。这产生了一个包含3800万个帖子的数据集，其中包含1560万个独特的新闻URL，时间跨度近三年。我们沿着沿着几个轴来研究数据，评估共享新闻故事的可信度，分析它们是如何被讨论的，并衡量各种网络社区在其中的影响力。我们的分析表明，不同的社区讨论不同类型的新闻，像Gab和/r/The_Donald这样的两极分化的社区不成比例地引用不可信的来源。我们还发现这些林格系数对其它平面的影响与r.t.围绕某些新闻，例如政治选举、移民或外交政策，进行宣传。事实上，边缘社区似乎成功地影响了主流社交网络上关于新闻事件虚假叙述的讨论。
The news ecosystem encompasses a wide range of sources with varying levels of trustworthiness, and with public commentary giving different spins to the same stories. In this paper, we present a measurement pipeline able to identify news articles that discuss the same story and trace how they are shared on multiple online communities. We compile a list of 1,073 news websites and extract posts from four Web communities (Twitter, Reddit, 4chan, and Gab) that contain URLs from these sources. This yields a dataset of 38M posts containing 15.6M unique news URLs, spanning almost three years. We study the data along several axes, assessing the trustworthiness of shared news stories, analyzing how they are discussed, and measuring the influence various Web communities have in that. Our analysis shows that different communities discuss different types of news, with polarized communities like Gab and /r/The_Donald subreddit disproportionately referencing untrustworthy sources. We also find t hat f ringe c ommunities o ften h ave a disproportionate influence o n o ther p latforms w .r.t. p ushing n arratives around certain news, for example, about political elections, immigration, or foreign policy. In fact, fringe communities are seemingly successful in influencing the discussion on false narratives about news events on mainstream social networks.