论文标题

暴露于错误信息的党派不对称

Partisan Asymmetries in Exposure to Misinformation

论文作者

Rao, Ashwin, Morstatter, Fred, Lerman, Kristina

论文摘要

据信,健康错误的信息在19009年大流行期间有助于疫苗犹豫,这突出了人们对社交媒体在两极分化和社会稳定性中的作用的担忧。尽管以前的研究已经确定了政治党派与在线共享之间的联系,但党派关系与人们在社交网络中看到多少误导性之间的互动尚未得到很好的研究。结果,我们不知道党派化是否会导致暴露于错误信息,或者尽管暴露于事实内容,但人们有选择地共享错误的信息。我们研究了有关19009年大流行的Twitter讨论,并在政治和事实维度上对用户进行分类。我们发现共享行为和暴露的党派不对称,保守派更有可能看到和共享错误的信息,而自由主义者则看到了最大的事实内容。我们确定多维回声室,使用户了解意识形态一致的内容;但是,政治和事实维度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主义者)创造了条件,以扩大错误信息。尽管如此,与事实内容和政治温和派相比,错误信息的关注较少,这些事实内容和政治温和派代表了我们样本中的大部分用户,有助于滤除错误信息,减少信息生态系统中低事实性内容的数量。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其消息传递以促进共识。

Health misinformation is believed to have contributed to vaccine hesitancy during the Covid-19 pandemic, highlighting concerns about the role of social media in polarization and social stability. While previous research has identified a link between political partisanship and misinformation sharing online, the interaction between partisanship and how much misinformation people see within their social networks has not been well studied. As a result, we do not know whether partisanship drives exposure to misinformation or people selectively share misinformation despite being exposed to factual content. We study Twitter discussions about the Covid-19 pandemic, classifying users ideologically along political and factual dimensions. We find partisan asymmetries in both sharing behaviors and exposure, with conservatives more likely to see and share misinformation and moderate liberals seeing the most factual content. We identify multi-dimensional echo chambers that expose users to ideologically congruent content; however, the interaction between political and factual dimensions creates conditions for the highly polarized users -- hardline conservatives and liberals -- to amplify misinformation. Despite this, misinformation receives less attention than factual content and political moderates, who represent the bulk of users in our sample, help filter out misinformation, reducing the amount of low factuality content in the information ecosystem. Identifying the extent of polarization and how political ideology can exacerbate misinformation can potentially help public health experts and policy makers improve their messaging to promote consensus.

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