Naval Aviation News PDF Download
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Author:
Publisher:
ISBN:
Category : Aeronautics, Military
Languages : en
Pages : 52
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Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics, Military
Languages : en
Pages : 52
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Book Description
Author: United States. Department of Defense. Office of Public Information
Publisher:
ISBN:
Category :
Languages : en
Pages : 198
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Book Description
Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 1100
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Book Description
Author: Kai Shu
Publisher: Springer Nature
ISBN: 3031019156
Category : Computers
Languages : en
Pages : 121
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Book Description
In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/
Author: I. A. Mekeel
Publisher:
ISBN:
Category : Stamp collecting
Languages : en
Pages : 512
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Book Description
Author:
Publisher: Information Gatekeepers Inc
ISBN:
Category :
Languages : en
Pages : 11
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Book Description
Author:
Publisher:
ISBN:
Category : Veterinary medicine
Languages : en
Pages : 564
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Book Description
Author: Nancy Xiuzhi Liu
Publisher: Routledge
ISBN: 1351397672
Category : Foreign Language Study
Languages : en
Pages : 158
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Book Description
News Framing Through English-Chinese Translation provides a useful tool to depict how Chinese news translation can be examined in the era of globalization. The author has integrated framing theory in journalism studies with translation studies and developed a new theoretical model/framework named Transframing. This interdisciplinary model is pioneering and will make theoretical and conceptual contributions to translation studies. This book aims to reveal ideological, sociocultural and linguistic factors creating media discourse by examining Chinese media discourse, in comparison to its counterpart in English. Through the analysis of both quantitative and qualitative methods, it is concluded that the transframing model can be applied to interpreting, describing, explaining as well as predicting the practice of news translation.
Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 876
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Book Description
Author: Hemant Kumar Soni
Publisher: CRC Press
ISBN: 104010049X
Category : Computers
Languages : en
Pages : 325
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Book Description
Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speech on social media platforms. • Covers various approaches, algorithms, and methodologies for fake news and hate speech detection. • Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence. • Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. • Emphasizes the role of multilingual and multimodal processing to detect fake news. • Includes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understanding. The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.
