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 …
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 …
for real-time information dissemination. It has become an open stage for discussion …
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 …
Dual emotion based fake news detection: A deep attention-weight update approach
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 …
environment. This phenomenon requires automated detection of fake news to reduce its …
A novel stacking approach for accurate detection of fake news
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 …
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
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 …
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
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 …
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
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Page 1
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Genevieve …
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
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 …
preferred spectrum of virtual communication which provides an individual with a freedom to …
An integrated multi-task model for fake news detection
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 …
society. Most existing fake news detection approaches mainly focus on semantic analysis of …