Titlebook: Data Science for Fake News; Surveys and Perspect Deepak P,Tanmoy Chakraborty,Santhosh Kumar G Book 2021 Springer Nature Switzerland AG 2021

投射

Fake News and Social Processes: A Short Reviewcurate, unreliable, unsubstantiated, and unverified or completely false or fabricated information. We examine the literature related to the sociological analysis of the fake news phenomenon and its impact on social processes such as elections and vaccination. We also outline directions for further research.

商議

護(hù)航艦

1871-7500 g, information retrieval, and computer vision.Includes perspThis 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 v

冷淡一切

使長胖

瑣事

Absenteeism

Antony Jameson,John C. Vassbergh community. This chapter attempts to present a study on various pre-trained neural models for natural language processing in general and their potential use in news generation. While showing these models’ limitations, the chapter describes the future works in the NLP domain on language generation.

殘酷的地方

殺人

Daniele Marobin,Gabriella Puppoion. It argues that STS can work as a close ally of data science to bring in questions of power and politics associated with fake news, and its methods can be used in data science to make it more socially relevant.

MAL