We analyze the relationship between partisanship, echo chambers, and vulnerability to online misinformation by studying news sharing behavior on Twitter. While our results confirm prior findings that online misinformation sharing is strongly correlated with right-leaning partisanship, we also uncover a similar, though weaker trend among left-leaning users. Because of the correlation between a user's partisanship and their position within a partisan echo chamber, these types of influence are confounded. To disentangle their effects, we perform a regression analysis and find that vulnerability to misinformation is most strongly influenced by partisanship for both left- and right-leaning users.

翻译：我们通过研究Twitter上的新闻分享行为来分析党派关系、回声室关系和对在线错误信息的脆弱性。 虽然我们的结果证实了先前的调查结果,即在线错误信息分享与右倾派关系密切,但我们也发现了左倾派用户之间的类似趋势,尽管这种趋势较弱。 由于用户的党派关系及其在党派回声室中的位置之间的关联,这些类型的影响是混为一谈的。 为了分解其影响,我们进行了回归分析,发现对左倾和右倾派用户而言,对错误信息的脆弱性最强烈地受到党派关系的影响。