比以往更多的声音？量化网络中的媒体偏见
More Voices Than Ever? Quantifying Media Bias in Networks
摘要：
博客等社交媒体通常被视为民主实体，与传统的大众或精英媒体相比，它允许更多的声音被听到。一些人还认为，社交媒体展示了一种平衡力量，可以对抗有争议的倾斜精英媒体。由于现代传播的规模和动态性，对社会媒体和主流媒体进行系统的比较是必要的，但也是具有挑战性的。在这里，我们提出了实证措施，以量化的程度和动态的社会（博客）和主流（新闻）媒体的偏见。我们专注于一种特殊形式的偏见--覆盖量--适用于第111届美国国会的故事。我们将观察到的国会议员的报道与无偏见报道的零模型进行比较，测试政党，流行的领跑者，国家地区等方面的偏见。我们的措施表明，新闻和博客媒体的鲜明特点。一个简单的生成模型，与数据一致，揭示了两种媒体之间的覆盖选择过程中的差异。
英文摘要：
Social media, such as blogs, are often seen as democratic entities that allow more voices to be heard than the conventional mass or elite media. Some also feel that social media exhibits a balancing force against the arguably slanted elite media. A systematic comparison between social and mainstream media is necessary but challenging due to the scale and dynamic nature of modern communication. Here we propose empirical measures to quantify the extent and dynamics of social (blog) and mainstream (news) media bias. We focus on a particular form of bias---coverage quantity---as applied to stories about the 111th US Congress. We compare observed coverage of Members of Congress against a null model of unbiased coverage, testing for biases with respect to political party, popular front runners, regions of the country, and more. Our measures suggest distinct characteristics in news and blog media. A simple generative model, in agreement with data, reveals differences in the process of coverage selection between the two media.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
