Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Multimodal fake news detection on social media

A Survey of Deep Learning Techniques

Bibliographic Data

ID4698489
AuthorsCarmela Comito (0000-0001-9116-4323, Institute for High Performance Computing and Networking), Luciano Caroprese (0000-0002-0173-0131, University of Calabria, corresponding author), Ester Zumpano (0000-0003-1129-3737, University of Chieti-Pescara)
Year2023
Volume13
Issue1
Publication date2023-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Network Analysis and Mining (JOURNAL)
Journal identifiersISSN: 1869-5450 • E-ISSN: 1869-5469
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s13278-023-01104-w
OpenAlexW4385458448
LanguageEN
Citations received5
References cited67

Computer security · Data science · Deep learning · Exploit · Fake news · Internet privacy · Misinformation · Modalities · Multimodality · Social media · World Wide Web · Computer Science · Digital Media Forensic Detection · Misinformation and Its Impacts · Spam and Phishing Detection · Artificial Intelligence

  • Dynamic modelling and analysis of online rumour propagation considering dual debunking mechanisms and time delay effects

    Open Access•Xinsheng Zhang, Jiachen Li et al.•Humanities and Social Sciences…•2026

  • Navigating the social media market

    Open Access•Monica Ioana Burcă-Voicu, Romana Emilia Cramarenco et al.•Oeconomia Copernicana•2025

  • M3dusa

    Open Access•Liliana Martirano, Carmela Comito et al.•Social Network Analysis and Mining•2025

  • Leveraging dynamic fuzzification to mitigate fraudulent profiles on social networking platforms

    Open Access•Amber Sarfraz, Adnan Ahmad et al.•Social Network Analysis and Mining•2025

  • Fake news detection

    Open Access•Hemang Thakar, Brijesh Bhatt•Social Network Analysis and Mining•2024

  • A Picture Paints a Thousand Lies? The Effects and Mechanisms of Multimodal Disinformation and Rebuttals Disseminated via Social Media

    Open Access•Michael Hameleers, Thomas E Powell et al.•Political Communication•2020

Unique citing works5
Citations per year2,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae