Fake news, disinformation and misinformation in social media: a review
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …
kinds of global and local news for millions of users. However, OSNs are a double-edged …
Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
GCAN: Graph-aware co-attention networks for explainable fake news detection on social media
YJ Lu, CT Li - arXiv preprint arXiv:2004.11648, 2020 - arxiv.org
This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …
media. Given the source short-text tweet and the corresponding sequence of retweet users …
defend: Explainable fake news detection
In recent years, to mitigate the problem of fake news, computational detection of fake news
has been studied, producing some promising early results. While important, however, we …
has been studied, producing some promising early results. While important, however, we …
A comprehensive review on fake news detection with deep learning
A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
Combating disinformation in a social media age
The creation, dissemination, and consumption of disinformation and fabricated content on
social media is a growing concern, especially with the ease of access to such sources, and …
social media is a growing concern, especially with the ease of access to such sources, and …
DSS: A hybrid deep model for fake news detection using propagation tree and stance network
Nowadays, online social media play a significant role in news broadcasts due to their
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
Reinforcement subgraph reasoning for fake news detection
The wide spread of fake news has caused serious societal issues. We propose a subgraph
reasoning paradigm for fake news detection, which provides a crystal type of explainability …
reasoning paradigm for fake news detection, which provides a crystal type of explainability …
It takes a village to manipulate the media: coordinated link sharing behavior during 2018 and 2019 Italian elections
Over the last few years, a proliferation of attempts to define, understand and fight the spread
of problematic information in contemporary media ecosystems emerged. Most of these …
of problematic information in contemporary media ecosystems emerged. Most of these …