纠正信息不一定能遏制社会混乱
Corrective Information Does Not Necessarily Curb Social Disruption
摘要：
错误信息的传播会造成社会混乱。社交网络服务（SNS）上的信息的真实性是未知的，并且虚假信息可以容易地传播。因此，许多研究已经进行了控制社交网站上错误信息传播的方法。然而，很少有研究探讨了错误信息的传播及其纠正对社会的影响。本研究模拟了减少错误信息和传播纠正信息对社会破坏的影响，并确定了这种影响的特征。在这项研究中，我们分析了有关2020年COVID-19疫情期间卫生纸短缺的错误信息、其更正以及该信息导致的过度购买。首先，我们分析了SNS上传播的错误信息和纠正信息的数量，并创建了一个回归模型来估计错误信息及其纠正对现实世界的影响。该模型用于分析与错误信息和纠正信息的传播变化相对应的真实世界影响的变化。我们的分析表明，正确的信息比错误的信息传播得更广。此外，我们的模型显示，纠正信息是导致过度购买行为。通过进一步分析，我们发现，最大限度地减少对现实世界的影响所需的纠正信息的传播量取决于错误信息的传播量。
英文摘要：
The spread of misinformation can cause social confusion. The authenticity of information on a social networking service (SNS) is unknown, and false information can be easily spread. Consequently, many studies have been conducted on methods to control the spread of misinformation on social networking sites. However, few studies have examined the impact of the spread of misinformation and its corrections on society. This study models the impact of the reduction of misinformation and the diffusion of corrective information on social disruption, and it identifies the features of this impact. In this study, we analyzed misinformation regarding the shortage of toilet paper during the 2020 COVID-19 epidemic, its corrections, and the excessive purchasing caused by this information. First, we analyze the amount of misinformation and corrective information spread on SNS, and we create a regression model to estimate the real-world impact of misinformation and its correction. This model is used to analyze the change in real-world impact corresponding to the change in the diffusion of misinformation and corrective information. Our analysis shows that the corrective information was spread to a much greater extent than the misinformation. In addition, our model reveals that the corrective information was what caused the excessive purchasing behavior. As a result of our further analysis, we found that the amount of diffusion of corrective information required to minimize the impact on the real world depends on the amount of the diffusion of misinformation.
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。
