US选举期间的社交媒体、新闻和政治信息：两极分化的内容是否集中在摇摆州？
Social Media, News and Political Information during the US Election: Was Polarizing Content Concentrated in Swing States?
摘要：
美国选民分享了大量两极分化的政治新闻和信息，这些新闻和信息以链接的形式链接到俄罗斯、维基解密和垃圾新闻来源的内容。这些低质量的政治信息是均匀分布在全国各地，还是集中在摇摆州和全国特定地区？在这份数据备忘录中，我们应用了一个经过测试的关于2016年总统大选前后十天内通过Twitter分享的政治新闻和信息的来源词典。使用自我报告的位置信息，我们按州放置了三分之一的用户，并为全国各地的两极分化内容的分布创建了一个简单的索引。我们发现：（1）在全国范围内，Twitter用户比专业制作的新闻获得更多的错误信息，两极分化和阴谋内容。(2)然而，一些州的用户分享的政治新闻和信息比其他州的用户更多。(3)摇摆州的平均错误信息水平高于无争议州，即使根据每个州用户群体的相对规模进行加权。最后，我们对战略传播的两极分化信息对公共生活的影响进行了一些观察。
英文摘要：
US voters shared large volumes of polarizing political news and information in the form of links to content from Russian, WikiLeaks and junk news sources. Was this low quality political information distributed evenly around the country, or concentrated in swing states and particular parts of the country? In this data memo we apply a tested dictionary of sources about political news and information being shared over Twitter over a ten day period around the 2016 Presidential Election. Using self-reported location information, we place a third of users by state and create a simple index for the distribution of polarizing content around the country. We find that (1) nationally, Twitter users got more misinformation, polarizing and conspiratorial content than professionally produced news. (2) Users in some states, however, shared more polarizing political news and information than users in other states. (3) Average levels of misinformation were higher in swing states than in uncontested states, even when weighted for the relative size of the user population in each state. We conclude with some observations about the impact of strategically disseminated polarizing information on public life.
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。
