A comparative analysis of Graph Neural Networks and commonly used machine learning algorithms on fake news detection

by   Fahim Belal Mahmud, et al.

Fake news on social media is increasingly regarded as one of the most concerning issues. Low cost, simple accessibility via social platforms, and a plethora of low-budget online news sources are some of the factors that contribute to the spread of false news. Most of the existing fake news detection algorithms are solely focused on the news content only but engaged users prior posts or social activities provide a wealth of information about their views on news and have significant ability to improve fake news identification. Graph Neural Networks are a form of deep learning approach that conducts prediction on graph-described data. Social media platforms are followed graph structure in their representation, Graph Neural Network are special types of neural networks that could be usually applied to graphs, making it much easier to execute edge, node, and graph-level prediction. Therefore, in this paper, we present a comparative analysis among some commonly used machine learning algorithms and Graph Neural Networks for detecting the spread of false news on social media platforms. In this study, we take the UPFD dataset and implement several existing machine learning algorithms on text data only. Besides this, we create different GNN layers for fusing graph-structured news propagation data and the text data as the node feature in our GNN models. GNNs provide the best solutions to the dilemma of identifying false news in our research.


page 1

page 2

page 3

page 4


Detecting Fake News Using Machine Learning : A Systematic Literature Review

Internet is one of the important inventions and a large number of person...

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media

Although significant effort has been applied to fact-checking, the preva...

A Graph Neural Network based approach for detecting Suspicious Users on Online Social Media

Online Social Media platforms (such as Twitter and Facebook) are extensi...

How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks

We consider the problem of monitoring and controlling a partially-observ...

Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification

The rampant integration of social media in our every day lives and cultu...

Detecting Radical Text over Online Media using Deep Learning

Social Media has influenced the way people socially connect, interact an...

Recurrent Graph Neural Networks for Rumor Detection in Online Forums

The widespread adoption of online social networks in daily life has crea...

Please sign up or login with your details

Forgot password? Click here to reset