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 …

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 …

[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach

JA Nasir, OS Khan, I Varlamis - International Journal of Information …, 2021 - Elsevier
The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …

An ensemble machine learning approach through effective feature extraction to classify fake news

S Hakak, M Alazab, S Khan, TR Gadekallu… - Future Generation …, 2021 - Elsevier
There are numerous channels available such as social media, blogs, websites, etc., through
which people can easily access the news. It is due to the availability of these platforms that …

Fake news detection on social media using geometric deep learning

F Monti, F Frasca, D Eynard, D Mannion… - arXiv preprint arXiv …, 2019 - arxiv.org
Social media are nowadays one of the main news sources for millions of people around the
globe due to their low cost, easy access and rapid dissemination. This however comes at the …

Fake news detection within online social media using supervised artificial intelligence algorithms

FA Ozbay, B Alatas - Physica A: statistical mechanics and its applications, 2020 - Elsevier
Along with the development of the Internet, the emergence and widespread adoption of the
social media concept have changed the way news is formed and published. News has …

A survey on natural language processing for fake news detection

R Oshikawa, J Qian, WY Wang - arXiv preprint arXiv:1811.00770, 2018 - arxiv.org
Fake news detection is a critical yet challenging problem in Natural Language Processing
(NLP). The rapid rise of social networking platforms has not only yielded a vast increase in …

An incentive-aware blockchain-based solution for internet of fake media things

Q Chen, G Srivastava, RM Parizi, M Aloqaily… - Information Processing …, 2020 - Elsevier
Abstract The concept of Fake Media or Internet of Fake Media Things (IoFMT) has emerged
in different domains of digital society such as politics, news, and social media. Due to the …

Emotions: The unexplored fuel of fake news on social media

CG Horner, D Galletta, J Crawford… - Fake News on the …, 2023 - taylorfrancis.com
Easy access to equipment, software, and platforms to create, distribute, and provide access
to fake news stories has exacerbated the problem of fake news, making for a large number …

DSS: A hybrid deep model for fake news detection using propagation tree and stance network

M Davoudi, MR Moosavi, MH Sadreddini - Expert Systems with Applications, 2022 - Elsevier
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 …