论文标题
生姜无法治愈癌症：与虚假健康新闻作斗争与全面的数据存储库
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository
论文作者
论文摘要
如今，互联网是获得健康信息的主要来源。互联网上传播的大量假健康新闻已成为对公共卫生的严重威胁。在假新闻检测领域已经完成了许多研究和研究工作，但是，很少有人旨在应对健康新闻的挑战。例如，假健康新闻检测需要解释的开发。为了减轻这些问题，我们构建了一个全面的存储库，FakeHealth，其中包括具有丰富功能的新闻内容，带有详细说明，社交活动和用户用户社交网络的新闻评论。此外，进行了探索性分析，以了解数据集的特征，分析有用的模式并验证数据集的质量以进行健康伪造新闻检测。我们还讨论了健康假新闻检测的新颖和潜在的未来研究方向。
Nowadays, Internet is a primary source of attaining health information. Massive fake health news which is spreading over the Internet, has become a severe threat to public health. Numerous studies and research works have been done in fake news detection domain, however, few of them are designed to cope with the challenges in health news. For instance, the development of explainable is required for fake health news detection. To mitigate these problems, we construct a comprehensive repository, FakeHealth, which includes news contents with rich features, news reviews with detailed explanations, social engagements and a user-user social network. Moreover, exploratory analyses are conducted to understand the characteristics of the datasets, analyze useful patterns and validate the quality of the datasets for health fake news detection. We also discuss the novel and potential future research directions for the health fake news detection.
