An overview of online fake news: Characterization, detection, and discussion

X Zhang, AA Ghorbani - Information Processing & Management, 2020 - Elsevier
Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

P Meel, DK Vishwakarma - Expert Systems with Applications, 2020 - Elsevier
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …

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 …

Dual emotion based fake news detection: A deep attention-weight update approach

AM Luvembe, W Li, S Li, F Liu, G Xu - Information Processing & …, 2023 - Elsevier
The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …

A novel stacking approach for accurate detection of fake news

TAO Jiang, JP Li, AU Haq, A Saboor, A Ali - IEEE Access, 2021 - ieeexplore.ieee.org
With the increasing popularity of social media, people has changed the way they access
news. News online has become the major source of information for people. However, much …

[HTML][HTML] A benchmark study of machine learning models for online fake news detection

JY Khan, MTI Khondaker, S Afroz, G Uddin… - Machine Learning with …, 2021 - Elsevier
The proliferation of fake news and its propagation on social media has become a major
concern due to its ability to create devastating impacts. Different machine learning …

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 …

[PDF][PDF] Semeval-2019 task 7: Rumoureval 2019: Determining rumour veracity and support for rumours

G Gorrell, E Kochkina, M Liakata, A Aker… - Proceedings of the 13th …, 2019 - pure.itu.dk
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Page 1
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Genevieve …

Detection and moderation of detrimental content on social media platforms: current status and future directions

VU Gongane, MV Munot, AD Anuse - Social Network Analysis and Mining, 2022 - Springer
Social Media has become a vital component of every individual's life in society opening a
preferred spectrum of virtual communication which provides an individual with a freedom to …

An integrated multi-task model for fake news detection

Q Liao, H Chai, H Han, X Zhang… - … on Knowledge and …, 2021 - ieeexplore.ieee.org
Fake news detection attracts many researchers' attention due to the negative impacts on the
society. Most existing fake news detection approaches mainly focus on semantic analysis of …