快速审查公共可用的数据集,用于检测健康错误信息
Zhenni Ni1,2, Cédric Bousquet2, Pascal Vaillant2
1School of Information Management, Wuhan University, Wuhan, China.
本综述调查了用于检测健康错误信息的数据集,其中许多自2020年以来出现,特别是在COVID-19中. 这些资源有助于研究人员打击虚假健康信息的传播.
科学领域:
- 公共卫生 公共卫生
- 信息科学 信息科学 信息科学
- 计算语言学 计算语言学
背景情况:
- 健康错误信息的快速传播需要强有力的检测方法.
- 自2020年以来,许多数据集已经开发出来,以应对这一挑战.
- 这些数据集的很大一部分集中在与COVID-19相关的错误信息上.
结论:
- 审查的数据集代表了研究人员和从业人员在健康错误信息领域的关键资源.
- 这些数据集有助于研究错误信息的传播,并制定有效的对策.
- 建议进一步开发专家注释的数据集,以提高准确性.
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