Utilizing ensemble learning for detecting multi-modal fake news

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
5
Authors
Luqman, Muhammad; Faheem, Muhammad; Ramay, Waheed Yousuf; Saeed, Malik Khizar; Ahmad, Majid Bashir

Publication channel information

Title of journal/series
IEEE access
ISSN (electronic)
2169-3536
ISSN (linking)
2169-3536
Publisher
IEEE
Publication forum ID
78297
Publication forum level
1
Publication appears in FT-list
No
SNIP-level of the publication
1.44
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2024
Reporting year
2024
Journal/series volume number
12
Page numbers
15037-15049
DOI
10.1109/ACCESS.2024.3357661
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences, 213 Electronic, automation and communications engineering, electronics
Keywords
Ensemble learning; convolutional neural network; multi-modal fake news; classification; boosted CNN; bagged CNN

Source database ID

WoS ID
WOS:001161093100001
Scopus ID
Scopus:85183642580