Fake news detection has recently attracted a growing interest from the general public and researchers as the circulation of misinformation online increases, ...
This study investigates how fake news shared on social media platforms can be automatically identified. Drawing on the Elaboration Likelihood Model and previous ...
In this article, we will try to quote a set of automatic detection of false news on the web and social networks. Published in: 2019 1st International ...
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Automatic Detection of Fake News on Social Media Platforms
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Aug 23, 2018 · This study investigates how fake news shared on social media platforms can be automatically identified. Drawing on the Elaboration ...
The purpose of the work is to come up with a solution that can be utilized by users to detect and filter out sites containing false and misleading information.
This study investigates how fake news shared on social media platforms can be automatically identified. Drawing on the Elaboration Likelihood Model and previous ...
In this paper, we focus on the automatic identification of fake content in online news. Our contribution is twofold. First, we introduce two novel datasets for ...
Missing: Platforms. | Show results with:Platforms.
Aug 22, 2024 · The paper tackles fake news detection in Polish language. Experiments are conducted on new dataset of digital content (news) in Polish language.
Reasons for that is the fact that many users only read the headline of articles they come across, combined with shared/liked articles in social media such as ...
Graph neural networks (GNNs) can better simulate the news propagation on social networks, and thus, there are numerous fake news detection methods based on the ...