Combating fake news with computational intelligence techniques / Mohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh, Wael Mohamed Shaher Yafooz, editors.
Lahby, Mohamed, editor.; Pathan, Al-Sakib Khan, editor.; Maleh, Yassine, 1987- editor.; Yafooz, Wael Mohamed Shaher, editor.
2022
Q342 .C66 2022
Available Online

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Title Combating fake news with computational intelligence techniques / Mohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh, Wael Mohamed Shaher Yafooz, editors.
ISBN 9783030900878 (electronic bk.)
3030900878 (electronic bk.)
9783030900861
303090086X
DOI https://doi.org/10.1007/978-3-030-90087-8
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (432 pages) : illustrations (chiefly color)
Other Standard Identifiers 10.1007/978-3-030-90087-8 doi
Call Number Q342 .C66 2022
Dewey Decimal Classification 006.3
Summary This 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file
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Source of Description Description based on print version record.
Added Author Lahby, Mohamed, editor.
Pathan, Al-Sakib Khan, editor.
Maleh, Yassine, 1987- editor.
Yafooz, Wael Mohamed Shaher, editor.
Series Studies in computational intelligence ; v. 1001.
Available in Other Form Combating Fake News with Computational Intelligence Techniques.
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Record Appears in Online Resources > Ebooks
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Part 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.

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