背景:截至2022年12月,COVID-19的爆发没有减弱的迹象,继续影响人们的生活,生计,经济,还有更多.接种疫苗是实现大规模免疫的有效途径。然而,在日本等地,疫苗接种是自愿的,有些人选择不接种疫苗,即使提供了有效的疫苗。为了促进疫苗接种,有必要澄清社交媒体上的什么样的信息会影响人们对疫苗的态度。
目的:虚假的谣言和劝告经常在社交媒体上大量发布和传播,尤其是在紧急情况下。在本文中,我们将包含问题或指出信息错误的推文视为顾问。我们在推特上分析了与COVID-19疫苗相关的顾问推文。我们旨在回答以下问题:(1)Twitter上发布了哪些与COVID-19疫苗相关的顾问,
方法:我们使用以下数据集:(1)由“谣言云”自动收集的计数器(18,593条推文);(2)2021年9月27日至2022年8月15日在总理办公室上发布的COVID-19疫苗接种者的数量。首先,我们对counterrumors中的内容进行了分类。第二,我们从数据集1中统计了与COVID-19疫苗相关的患者数量。然后,我们检查了数据集1和2的数量之间的交叉相关系数。通过这次验证,我们检查了以下三个时期的相关系数:(1)同一时期的数据;(2)在疫苗接种之前出现反推的情况(负时滞);(3)在疫苗接种之前出现反推的情况(正时滞)。用于验证的数据期为2021年10月4日至2022年4月18日。
结果:我们的分类结果显示,大多数关于COVID-19疫苗的专家都是阴性的。此外,疫苗接种者数量与疫苗接种者之间的相关系数呈显著和强的正相关。在滞后-8、-7和-1周时,相关系数超过0.7。结果表明,疫苗接种者的数量倾向于随着计数器数量的增加而增加。对于1周或更长时间和2周或更长时间的滞后,观察到0.5至0.6的显着相关系数。这意味着疫苗接种者的增加增加了计数器的数量。这些结果表明,反扑数量的增加可能是诱导疫苗接种行为的一个因素。
结论:使用定量数据,我们能够揭示医生如何影响COVID-19疫苗的疫苗接种状况。我们认为我们的发现将为考虑疫苗接种对策奠定基础。
BACKGROUND: As of December 2022, the outbreak of COVID-19 showed no sign of abating, continuing to impact people\'s lives, livelihoods, economies, and more. Vaccination is an effective way to achieve mass immunity. However, in places such as Japan, where vaccination is voluntary, there are people who choose not to receive the vaccine, even if an effective vaccine is offered. To promote vaccination, it is necessary to clarify what kind of information on social media can influence attitudes toward vaccines.
OBJECTIVE: False rumors and counterrumors are often posted and spread in large numbers on social media, especially during emergencies. In this paper, we regard tweets that contain questions or point out errors in information as counterrumors. We analyze counterrumors tweets related to the COVID-19 vaccine on Twitter. We aimed to answer the following questions: (1) what kinds of COVID-19 vaccine-related counterrumors were posted on Twitter, and (2) are the posted counterrumors related to social conditions such as vaccination status?
METHODS: We use the following data sets: (1) counterrumors automatically collected by the \"rumor cloud\" (18,593 tweets); and (2) the number of COVID-19 vaccine inoculators from September 27, 2021, to August 15, 2022, published on the Prime Minister\'s Office\'s website. First, we classified the contents contained in counterrumors. Second, we counted the number of COVID-19 vaccine-related counterrumors from data set 1. Then, we examined the cross-correlation coefficients between the numbers of data sets 1 and 2. Through this verification, we examined the correlation coefficients for the following three periods: (1) the same period of data; (2) the
case where the occurrence of the suggestion of counterrumors precedes the vaccination (negative time lag); and (3) the
case where the vaccination precedes the occurrence of counterrumors (positive time lag). The data period used for the validation was from October 4, 2021, to April 18, 2022.
RESULTS: Our classification results showed that most counterrumors about the COVID-19 vaccine were negative. Moreover, the correlation coefficients between the number of counterrumors and vaccine inoculators showed significant and strong positive correlations. The correlation coefficient was over 0.7 at -8, -7, and -1 weeks of lag. Results suggest that the number of vaccine inoculators tended to increase with an increase in the number of counterrumors. Significant correlation coefficients of 0.5 to 0.6 were observed for lags of 1 week or more and 2 weeks or more. This implies that an increase in vaccine inoculators increases the number of counterrumors. These results suggest that the increase in the number of counterrumors may have been a factor in inducing vaccination behavior.
CONCLUSIONS: Using quantitative data, we were able to reveal how counterrumors influence the vaccination status of the COVID-19 vaccine. We think that our findings would be a foundation for considering countermeasures of vaccination.