This special theme issue of Big Data & Society presents leading-edge, interdisciplinary research that focuses on examining how health-related (mis-)information is circulating on social media. In particular, we are focusing on how computational and Big Data approaches can help to provide a better understanding of the ongoing COVID-19 infodemic (overexposure to both accurate and misleading information on a health topic) and to develop effective strategies to combat it.

中文翻译：

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大规模研究 COVID-19 信息流行病

本期《大数据与社会》特刊介绍了前沿的跨学科研究，重点研究与健康相关的（错误）信息如何在社交媒体上传播。特别是，我们专注于计算和大数据方法如何帮助更好地了解正在进行的 COVID-19 信息流行病（过度接触有关健康主题的准确和误导性信息）并制定有效的策略来应对它。