错误信息警告标签：Twitter对COVID-19疫苗信念的软调节效应
Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes
摘要：
Twitter在另类叙事迅速传播的推动下，开始积极警告用户有关COVID-19错误信息的传播。这种形式的软审核有两种形式：在推文显示给用户之前作为警告封面，以及在推文下面作为警告标签。这项研究调查了每种软适度形式如何影响Twitter上COVID-19疫苗错误信息的感知准确性。结果表明，警告涵盖了工作，但不是标签，在减少对Twitter上COVID-19疫苗错误信息准确性的看法。Twitter用户中确实存在“信念回声”，不受任何警告标签的约束，与COVID-19疫苗的安全性和有效性以及他们自己和孩子的疫苗接种犹豫有关。这些结果的影响进行了讨论的背景下，可用的安全启示打击社交媒体上的错误信息。
英文摘要：
Twitter, prompted by the rapid spread of alternative narratives, started actively warning users about the spread of COVID-19 misinformation. This form of soft moderation comes in two forms: as a warning cover before the Tweet is displayed to the user and as a warning tag below the Tweet. This study investigates how each of the soft moderation forms affects the perceived accuracy of COVID-19 vaccine misinformation on Twitter. The results suggest that the warning covers work, but not the tags, in reducing the perception of accuracy of COVID-19 vaccine misinformation on Twitter. "Belief echoes" do exist among Twitter users, unfettered by any warning labels, in relationship to the perceived safety and efficacy of the COVID-19 vaccine as well as the vaccination hesitancy for themselves and their children. The implications of these results are discussed in the context of usable security affordances for combating misinformation on social 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。
