Dive into Misinformation Detection (Record no. 88075)

000 -LEADER
fixed length control field 05079nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-031-54834-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730172158.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240527s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031548345
-- 978-3-031-54834-5
082 04 - CLASSIFICATION NUMBER
Call Number 025.04
100 1# - AUTHOR NAME
Author Ekbal, Asif.
245 10 - TITLE STATEMENT
Title Dive into Misinformation Detection
Sub Title From Unimodal to Multimodal and Multilingual Misinformation Detection /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XX, 172 p. 46 illus., 45 illus. in color.
490 1# - SERIES STATEMENT
Series statement The Information Retrieval Series,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1. Introduction -- 2. Recent Advancements in Misinformation Detection -- 3. Novelty and Emotion in Misinformation Detection -- 4. Multitasking for Misinformation Detection -- 5. Multimodality in Misinformation Detection -- 6. Novelty and Emotion in Multimodal Misinformation Detection -- 7. Multilinguality in Misinformation Detection -- 8. Book Summary.
520 ## - SUMMARY, ETC.
Summary, etc 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 a framework for joint learning of interrelated tasks such as emotion recognition, novelty detection, and misinformation detection. The fifth chapter explores various datasets and mechanisms leveraging multimodal information, and eventually explains the fusion mechanisms of text and image modalities to obtain an efficient multimodal feature that ultimately helps to classify multimedia fake news. Chapter six discusses how novelty and emotion can be helpful in multimodal misinformation detection. It shows that detecting misleading information is difficult without earlier knowledge about that particular news and explores the possible solutions to tackle this problem. Eventually, chapter seven introduces the concept of multilingualism and implements an effective neural model to detect fabricated multilingual information, which overcomes the research and development gap in misinformation detection for regional languages. The final chapter eight briefly summarizes the presented results. This book is mainly written for researchers and graduate students specializing in fake news search and detection, as well as for industry professionals who need to explore various dimensions of misinformation detection regardless of their past knowledge and experience.
700 1# - AUTHOR 2
Author 2 Kumari, Rina.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-54834-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
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-- computer
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-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information storage and retrieval systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Natural language processing (Computer science).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer crimes.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Storage and Retrieval.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Natural Language Processing (NLP).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Crime.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2730-6836 ;
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