DeepAI AI Chat
Log In Sign Up

Fake News Detection with Deep Diffusive Network Model

by   Jiawei Zhang, et al.
Florida State University
NetEase, Inc

In recent years, due to the booming development of online social networks, fake news for various commercial and political purposes has been appearing in large numbers and widespread in the online world. With deceptive words, online social network users can get infected by these online fake news easily, which has brought about tremendous effects on the offline society already. An important goal in improving the trustworthiness of information in online social networks is to identify the fake news timely. This paper aims at investigating the principles, methodologies and algorithms for detecting fake news articles, creators and subjects from online social networks and evaluating the corresponding performance. This paper addresses the challenges introduced by the unknown characteristics of fake news and diverse connections among news articles, creators and subjects. Based on a detailed data analysis, this paper introduces a novel automatic fake news credibility inference model, namely FakeDetector. Based on a set of explicit and latent features extracted from the textual information, FakeDetector builds a deep diffusive network model to learn the representations of news articles, creators and subjects simultaneously. Extensive experiments have been done on a real-world fake news dataset to compare FakeDetector with several state-of-the-art models, and the experimental results have demonstrated the effectiveness of the proposed model.


TI-CNN: Convolutional Neural Networks for Fake News Detection

With the development of social networks, fake news for various commercia...

Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social Networks

Users' involvement in creating and propagating news is a vital aspect of...

Learning Hierarchical Discourse-level Structure for Fake News Detection

On the one hand, nowadays, fake news articles are easily propagated thro...

Incentivizing the Dissemination of Truth Versus Fake News in Social Networks

The concept of truth, as a public good is the production of a collective...

FakeFlow: Fake News Detection by Modeling the Flow of Affective Information

Fake news articles often stir the readers' attention by means of emotion...

News Labeling as Early as Possible: Real or Fake?

Making disguise between real and fake news propagation through online so...

Fake News Detection by means of Uncertainty Weighted Causal Graphs

Society is experimenting changes in information consumption, as new info...