GraMuFeN: graph-based multi-modal fake news detection in social media

Makan Kananian; Fatemeh Badiei; S. AmirAli Gh. Ghahramani

doi:10.1007/s13278-024-01267-0

ScienceGate Book Chapters

JOURNAL ARTICLE

GraMuFeN: graph-based multi-modal fake news detection in social media

Makan Kananian Fatemeh Badiei S. AmirAli Gh. Ghahramani

Year: 2024 Journal: Social Network Analysis and Mining Vol: 14 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s13278-024-01267-0

Get Full-Text PDF Get Analytical Report

Keywords:

Social media Modal Computer science Graph Artificial intelligence Fake news Internet privacy World Wide Web Theoretical computer science Materials science

Metrics

Cited By

23.06

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Misinformation and Its Impacts

Social Sciences → Social Sciences → Sociology and Political Science

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

GraMuFeN: graph-based multi-modal fake news detection in social media

Metrics

Citation History

Topics

Related Documents

Fake News Detection in Social Media based on Multi-Modal Multi-Task Learning

Construction of multi-modal social media dataset for fake news detection

Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion

Multi-modal Fake News Detection

Multi-Modal fake news Detection on Social Media with Dual Attention Fusion Networks