Title
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection.
Abstract
In this paper, we tackle the problem of fake news detection from social media by exploiting the presence of echo chamber communities (communities sharing same beliefs) that exist within the social network of the users. By modeling the echo-chambers as closely-connected communities within the social network, we represent a news article as a 3-mode tensor of the structure - <News, User, Community> and propose a tensor factorization based method to encode the news article in a latent embedding space preserving the community structure. We also propose an extension of the above method, which jointly models the community and content information of the news article through a coupled matrix-tensor factorization framework. We empirically demonstrate the efficacy of our method for the task of Fake News Detection over two real-world datasets.
Year
DOI
Venue
2018
10.5555/3382225.3382284
ASONAM '18: International Conference on Advances in Social Networks Analysis and Mining Barcelona Spain August, 2018
Keywords
DocType
Volume
Fake News Detection, Tensor Factorization
Journal
abs/1809.05252
ISSN
ISBN
Citations 
2473-9928
978-1-5386-6051-5
1
PageRank 
References 
Authors
0.35
15
4
Name
Order
Citations
PageRank
shashank gupta16011.35
Raghuveer Thirukovalluru210.35
Manjira Sinha32212.94
Sandya Mannarswamy4507.43