Rumor detection using dual embeddings and text-based graph convolutional network

Rumor detection using dual embeddings and text-based graph convolutional network

Abstract Social media platforms like Twitter and Facebook have gradually become vital for communication and information exchange. However, this often leads to the spread of unreliable or false information, such as harmful rumors. Currently, graph convolutional networks (GCNs), particularly TextGCN,...

Full description

Saved in:
Bibliographic Details
Main Authors: Barsha Pattanaik, Sourav Mandal, Rudra M. Tripathy, Arif Ahmed Sekh
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Artificial Intelligence
Subjects:
Rumor detection
Rumor classification
Dual word embedding
Graph convolution network (GCN)
TextGCN
Online Access:https://doi.org/10.1007/s44163-024-00193-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s44163-024-00193-6

Similar Items