Fake news detection using an ensemble learning model based on Self-Adaptive Harmony Search algorithms

•The appropriate features of news are analyzed for training models.•The ensemble learning model for fake news detection is proposed in the paper.•The weights of the ensemble learning model are optimized in the paper.•The cross-domain intractability issue is investigated in the paper. In general, the...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 159; p. 113584
Main Authors:	Huang, Yin-Fu, Chen, Po-Hong
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 30.11.2020 Elsevier BV
Subjects:	Accuracy Adaptive algorithms Deep learning Domains Ensemble learning Fake news Harmony search algorithm Machine learning Natural language processing News Search algorithms Deep learning Natural language processing Fake news Harmony search algorithm
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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