Partisan asymmetries in exposure to misinformation.
Partisan asymmetries in exposure to misinformation.
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DOI：
10.1038/s41598-022-19837-7
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发表时间：
2022-09-19
影响因子：
4.6
通讯作者：
Lerman, Kristina
中科院分区：
文献类型：
--
作者：
Rao, Ashwin;Morstatter, Fred;Lerman, Kristina
据信，在新冠肺炎大流行期间，网上的错误信息导致了疫苗的犹豫，突显了人们对社交媒体在公共生活中破坏稳定作用的担忧。先前的研究发现了政治保守主义和分享错误信息之间的联系;然而，目前尚不清楚党派偏见如何影响人们在网上看到多少错误信息。因此，我们不知道是党派之争导致了错误信息的曝光，还是人们在接触到事实内容的情况下选择性地分享错误信息。为了解决这个问题，我们研究了Twitter上关于新冠肺炎大流行的讨论，根据用户分享的信息来源，将他们沿着政治和事实光谱进行分类。此外，我们通过转发互动量化曝光。我们发现党派不对称暴露于错误信息：保守派更有可能看到和分享错误信息，而用户的连接使他们接触到意识形态一致的内容，政治和事实层面之间的相互作用为高度两极分化的用户-强硬的保守派和自由派-放大错误信息创造了条件。然而，总体而言，错误信息受到的关注少于事实内容和政治温和派，我们样本中的大部分用户，帮助过滤错误信息。确定两极分化的程度以及政治意识形态如何加剧错误信息，可以帮助公共卫生专家和政策制定者改善他们的信息。
Online misinformation is believed to have contributed to vaccine hesitancy during the Covid-19 pandemic, highlighting concerns about social media’s destabilizing role in public life. Previous research identified a link between political conservatism and sharing misinformation; however, it is not clear how partisanship affects how much misinformation people see online. As a result, we do not know whether partisanship drives exposure to misinformation or people selectively share misinformation despite being exposed to factual content. To address this question, we study Twitter discussions about the Covid-19 pandemic, classifying users along the political and factual spectrum based on the information sources they share. In addition, we quantify exposure through retweet interactions. We uncover partisan asymmetries in the exposure to misinformation: conservatives are more likely to see and share misinformation, and while users’ connections expose them to ideologically congruent content, the interactions between political and factual dimensions create conditions for the highly polarized users—hardline conservatives and liberals—to amplify misinformation. Overall, however, misinformation receives less attention than factual content and political moderates, the bulk of users in our sample, help filter out misinformation. Identifying the extent of polarization and how political ideology exacerbates misinformation can help public health experts and policy makers improve their messaging.
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影响因子：
10.7
作者：
Levy, Ro'ee
通讯作者：
Levy, Ro'ee
影响因子：
8.5
作者：
Chen, Emily;Lerman, Kristina;Ferrara, Emilio
通讯作者：
Ferrara, Emilio
DOI：
10.1073/pnas.1806781116
发表时间：
2019-02-12
影响因子：
11.1
作者：
Pennycook, Gordon;Rand, David G.
通讯作者：
Rand, David G.
影响因子：
13.6
作者：
Brady WJ;McLoughlin K;Doan TN;Crockett MJ
通讯作者：
Crockett MJ
影响因子：
56.9
作者：
Bakshy, Eytan;Messing, Solomon;Adamic, Lada A.
通讯作者：
Adamic, Lada A.