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Titlebook: Dive into Misinformation Detection; From Unimodal to Mul Asif Ekbal,Rina Kumari Book 2024 The Editor(s) (if applicable) and The Author(s),

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书目名称Dive into Misinformation Detection
副标题From Unimodal to Mul
编辑Asif Ekbal,Rina Kumari
视频videohttp://file.papertrans.cn/283/282064/282064.mp4
概述Provides a foundation for misinformation or false content detection in text, images, audio and video.Explains how novelty and emotion can be helpful in multimodal misinformation detection.Details an e
丛书名称The Information Retrieval Series
图书封面Titlebook: Dive into Misinformation Detection; From Unimodal to Mul Asif Ekbal,Rina Kumari Book 2024 The Editor(s) (if applicable) and The Author(s),
描述.This book delivers a brief introduction to misinformation, and various novel approaches for solving misinformation detection problems. It considers all kinds of false information as fake news or misinformation and uses the terms fake news and misinformation interchangeably, in text, images, audio and video. The primary purpose is to provide a foundation for the problems of misinformation or false content detection including various challenges and approaches to solve them...The book starts with an overall description of misinformation. It briefly introduces the history, various issues or challenges, reasons for creating and spreading misinformation, and its impact on individuals and society. The second chapter discusses prior works on misinformation detection and explores various datasets, recent advancements, and state-of-the-art mechanisms. Chapter three demonstrates that the presence of surprising content in a story draws instant attention and appeals to strong emotional stimuli, and subsequently explores the application of novelty and emotion in the misinformation detection domain. Next, chapter four first introduces multitasking and discusses its advantages, before developing
出版日期Book 2024
关键词Misinformation Detection; Fake News Detection; Deep Learning; Multimodal Feature Fusion; Sentiment Predi
版次1
doihttps://doi.org/10.1007/978-3-031-54834-5
isbn_softcover978-3-031-54833-8
isbn_ebook978-3-031-54834-5Series ISSN 1871-7500 Series E-ISSN 2730-6836
issn_series 1871-7500
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Novelty and Emotion in Misinformation Detection,is chapter first introduces the fundamental concept of novelty and emotion. Later, it discusses the application of these two attributes for misinformation detection. At the end, it presents a deep learning- and machine learning-based architecture as a case study. This architecture uses representatio
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Multitasking for Misinformation Detection,he effectiveness of multitask learning in the context of misinformation detection. The primary purpose of this chapter is to justify how interrelated tasks help improve the performance of main tasks while all the tasks are performed simultaneously. It also discusses a unified approach for comprehens
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Novelty and Emotion in Multimodal Misinformation Detection,lications of contrastive learning. After that, this chapter briefly explains a misinformation dataset. The primary objective of this chapter is to detect misleading news containing the same image in different textual content. It also looks into the impacts of novelty and emotion since these are the
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1871-7500 timuli, and subsequently explores the application of novelty and emotion in the misinformation detection domain. Next, chapter four first introduces multitasking and discusses its advantages, before developing 978-3-031-54833-8978-3-031-54834-5Series ISSN 1871-7500 Series E-ISSN 2730-6836
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Tipps & Tricks für den OrthopädenThis chapter presents the overall summary of the book. It highlights the characteristics, importance, and key points of the book.
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