Format:
xiii, 435 Seiten :
,
Illustrationen, Diagramme (überwiegend farbig).
ISBN:
978-3-030-90086-1
Series Statement:
Studies in computational intelligence volume 1001
Content:
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 --
Content:
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 --
Content:
Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches
Additional Edition:
ISBN 9783030900885
Additional Edition:
ISBN 9783030900892
Additional Edition:
Erscheint auch als Online-Ausgabe ISBN 978-3-030-90087-8
Language:
English
Subjects:
Computer Science
Keywords:
Falschmeldung
;
Erkennung
;
Künstliche Intelligenz
;
Maschinelles Lernen
