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001443313 0247_ $$a10.1007/978-3-030-90087-8$$2doi
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001443313 050_4 $$aQ342$$b.C66 2022
001443313 08204 $$a006.3$$223
001443313 24500 $$aCombating fake news with computational intelligence techniques /$$cMohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh, Wael Mohamed Shaher Yafooz, editors.
001443313 264_1 $$aCham :$$bSpringer,$$c[2022]
001443313 264_4 $$c©2022
001443313 300__ $$a1 online resource (432 pages) :$$billustrations (chiefly color)
001443313 336__ $$atext$$btxt$$2rdacontent
001443313 337__ $$acomputer$$bc$$2rdamedia
001443313 338__ $$aonline resource$$bcr$$2rdacarrier
001443313 347__ $$atext file
001443313 347__ $$bPDF
001443313 4901_ $$aStudies in computational intelligence ;$$vvolume 1001
001443313 5050_ $$aPart I: State-of-the-art -- Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study -- Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review -- Fake news detection in internet using deep learning: A review -- Part II: Machine Learning Techniques and Fake News -- Early Detection of Fake News from Social Media Networks using Computational Intelligence Approaches -- Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media -- Fake News Detection using Machine Learning and Natural Language Processing -- Fake News Detection using Ensemble Learning and Machine Learning Algorithms -- Evaluation of Machine Learning Methods for Fake News Detection -- Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Segmentation Searching and Dynamic Clustering -- Deep Learning with Self-Attention Mechanism for Fake News Detection -- Modeling and solving the fake news detection scheduling problem -- Part III: Case Studies and Frameworks -- The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain -- Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News -- Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News -- Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News -- Framework for Fake News Classification using Vectorization and Machine Learning -- Fact Checking: An Automatic end to end Fact Checking System -- Part IV: Fake news and Covid-19 pandemic -- False Information in a Post Covid-19 World -- Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 -- Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection -- Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches.
001443313 506__ $$aAccess limited to authorized users.
001443313 520__ $$aThis book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
001443313 588__ $$aDescription based on print version record.
001443313 650_0 $$aFake news$$xPrevention.
001443313 650_0 $$aComputational intelligence.
001443313 650_6 $$aIntelligence informatique.
001443313 655_0 $$aElectronic books.
001443313 7001_ $$aLahby, Mohamed,$$eeditor.
001443313 7001_ $$aPathan, Al-Sakib Khan,$$eeditor.
001443313 7001_ $$aMaleh, Yassine,$$d1987-$$eeditor.
001443313 7001_ $$aYafooz, Wael Mohamed Shaher,$$eeditor.
001443313 77608 $$iPrint version:$$aLahby, Mohamed.$$tCombating Fake News with Computational Intelligence Techniques.$$dCham : Springer International Publishing AG, ©2022$$z9783030900861
001443313 830_0 $$aStudies in computational intelligence ;$$vv. 1001.
001443313 852__ $$bebk
001443313 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-90087-8$$zOnline Access$$91397441.1
001443313 909CO $$ooai:library.usi.edu:1443313$$pGLOBAL_SET
001443313 980__ $$aBIB
001443313 980__ $$aEBOOK
001443313 982__ $$aEbook
001443313 983__ $$aOnline
001443313 994__ $$a92$$bISE