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020 _a9783031548345
_9978-3-031-54834-5
024 7 _a10.1007/978-3-031-54834-5
_2doi
050 4 _aQA75.5-76.95
072 7 _aUNH
_2bicssc
072 7 _aUND
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072 7 _aCOM030000
_2bisacsh
072 7 _aUNH
_2thema
072 7 _aUND
_2thema
082 0 4 _a025.04
_223
100 1 _aEkbal, Asif.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9102183
245 1 0 _aDive into Misinformation Detection
_h[electronic resource] :
_bFrom Unimodal to Multimodal and Multilingual Misinformation Detection /
_cby Asif Ekbal, Rina Kumari.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXX, 172 p. 46 illus., 45 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe Information Retrieval Series,
_x2730-6836 ;
_v30
505 0 _a1. 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 _aThis 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.
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aArtificial intelligence.
_93407
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputer crimes.
_910774
650 1 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputer Crime.
_986411
700 1 _aKumari, Rina.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9102184
710 2 _aSpringerLink (Online service)
_9102185
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031548338
776 0 8 _iPrinted edition:
_z9783031548352
830 0 _aThe Information Retrieval Series,
_x2730-6836 ;
_v30
_9102187
856 4 0 _uhttps://doi.org/10.1007/978-3-031-54834-5
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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