期刊名称：Brain. Broad Research in Artificial Intelligence and Neuroscience
印刷版ISSN：2067-3957
出版年度：2017
卷号：8
期号：3
页码：47-56
语种：English
出版社：EduSoft publishing
摘要：Big data mining can lead to previously undiscovered links between genes, diseases, symptoms, drugs, etc. However, this mathematical correlation needs medical confirmation and that implies additional efforts of time, human and financial resources that are not always possible. Internet reviews, posts, hashtags can establish an informal corroboration tool, easily available. This paper explores the receptiveness towards a negative bias in health-related electronic Word of Mouth.
其他摘要：Big data mining can lead to previously undiscovered links between genes, diseases, symptoms, drugs, etc. However, this mathematical correlation needs medical confirmation and that implies additional efforts of time, human and financial resources that are not always possible. Internet reviews, posts, hashtags can establish an informal corroboration tool, easily available. This paper explores the receptiveness towards a negative bias in health-related electronic Word of Mouth.
关键词：electronic Word of Mouth (eWOM); complex networks
