DeepAI AI Chat
Log In Sign Up

GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection

by   Mudit Dhawan, et al.
IIIT Hyderabad
University of Tartu
IIIT Delhi

Social media in present times has a significant and growing influence. Fake news being spread on these platforms have a disruptive and damaging impact on our lives. Furthermore, as multimedia content improves the visibility of posts more than text data, it has been observed that often multimedia is being used for creating fake content. A plethora of previous multimodal-based work has tried to address the problem of modeling heterogeneous modalities in identifying fake content. However, these works have the following limitations: (1) inefficient encoding of inter-modal relations by utilizing a simple concatenation operator on the modalities at a later stage in a model, which might result in information loss; (2) training very deep neural networks with a disproportionate number of parameters on small but complex real-life multimodal datasets result in higher chances of overfitting. To address these limitations, we propose GAME-ON, a Graph Neural Network based end-to-end trainable framework that allows granular interactions within and across different modalities to learn more robust data representations for multimodal fake news detection. We use two publicly available fake news datasets, Twitter and Weibo, for evaluations. Our model outperforms on Twitter by an average of 11 competitive performance on Weibo, within a 2.6 parameters than the best comparable state-of-the-art baseline.


page 1

page 2

page 3

page 4


Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach

Detection of fake news is crucial to ensure the authenticity of informat...

ETMA: Efficient Transformer Based Multilevel Attention framework for Multimodal Fake News Detection

In this new digital era, social media has created a severe impact on the...

MEG: Multi-Evidence GNN for Multimodal Semantic Forensics

Fake news often involves semantic manipulations across modalities such a...

Multimodal Fake News Detection with Adaptive Unimodal Representation Aggregation

The development of Internet technology has continuously intensified the ...

A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks

Fake news and misinformation are a matter of concern for people around t...

A Survey on Multimodal Disinformation Detection

Recent years have witnessed the proliferation of fake news, propaganda, ...

SEMI-FND: Stacked Ensemble Based Multimodal Inference For Faster Fake News Detection

Fake News Detection (FND) is an essential field in natural language proc...