A comprehensive review on fake news detection with deep learning

MF Mridha, AJ Keya, MA Hamid, MM Monowar… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Deep learning for misinformation detection on online social networks: a survey and new perspectives

MR Islam, S Liu, X Wang, G Xu - Social Network Analysis and Mining, 2020 - Springer
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 …

Fake news detection based on news content and social contexts: a transformer-based approach

S Raza, C Ding - International Journal of Data Science and Analytics, 2022 - Springer
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …

Fake news detection using machine learning approaches: A systematic review

SI Manzoor, J Singla - 2019 3rd international conference on …, 2019 - ieeexplore.ieee.org
The easy access and exponential growth of the information available on social media
networks has made it intricate to distinguish between false and true information. The easy …

A survey on multimodal disinformation detection

F Alam, S Cresci, T Chakraborty, F Silvestri… - arxiv preprint arxiv …, 2021 - arxiv.org
Recent years have witnessed the proliferation of offensive content online such as fake news,
propaganda, misinformation, and disinformation. While initially this was mostly about textual …

The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions

C Carrasco-Farré - Humanities and Social Sciences Communications, 2022 - nature.com
Not all misinformation is created equal. It can adopt many different forms like conspiracy
theories, fake news, junk science, or rumors among others. However, most of the existing …

Fake news detection in multiple platforms and languages

PHA Faustini, TF Covoes - Expert Systems with Applications, 2020 - Elsevier
The debate around fake news has grown recently because of the potential harm they can
have on different fields, being politics one of the most affected. Due to the amount of news …

Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection

WS Paka, R Bansal, A Kaushik, S Sengupta… - Applied Soft …, 2021 - Elsevier
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a
tsunami of fake news and misinformation on social media. At the time when reliable …

A smart system for fake news detection using machine learning

A Jain, A Shakya, H Khatter… - … conference on issues …, 2019 - ieeexplore.ieee.org
Most of the smart phone users prefer to read the news via social media over internet. The
news websites are publishing the news and provide the source of authentication. The …

SoK: Content moderation in social media, from guidelines to enforcement, and research to practice

M Singhal, C Ling, P Paudel, P Thota… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Social media platforms have been establishing content moderation guidelines and
employing various moderation policies to counter hate speech and misinformation. The goal …