
Автор: Deepak P., Tanmoy Chakraborty, Cheng Long
Издательство: Springer
Год: 2021
Страниц: 308
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Provides surveys of various data science technologies to address the fake news menace, including graph analytics, natural language processing, information retrieval, and computer vision. This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools.