This paper proposes a deep learning architecture for detecting fake news that is written in Korean. Previous works proposed appropriate fake news detection models for English, but Korean has two issues that cannot apply existing models: Korean can be expressed in shorter sentences than English even ...
In this paper we show a novel automatic fake news detection model based on geometric deep learning. The underlying core algorithms are a generalization of classical CNNs to graphs, allowing the fusion of heterogeneous data such as content, user profile and activity, social graph, and news ...
Fake news detection using deep learning Final master thesis projectThis repository is focused on finding fake news using deep learningThere are multiple methods focused on achieving this goal, but the objective of this work is discriminating the fake ones by only looking at the text. No graphs, ...
[1]Monti F., Frasca F., Eynard D., Mannion D. and Bronstein M. M. Fake news detection on social media using geometric deep learning. In International Conference on Learning Representations (ICLR, 2019) [2] Vosoughi S., Roy D. and Aral S. The spread of true and false news online....
There are individual studies about using only one or two of the supervised algorithms in the literature. Furthermore, they are tested within limited data sets. Unlike other individual studies, the problem of fake and false news detection has been handled and modeled as a classification problem ...
The social media platforms leads to proliferation of fake news and spreading of these false information creates high negative impact on the society. To ove
Developing a Fake News Detection model using Deep Learning Techniques and Natural Language Processing - smaach/Fake-News-Detection
Bajaj S. “ The pope has a new baby ! ” fake news detection using deep learning (2017) Google Scholar Bali et al., 2019 Bali A.P.S., Fernandes M., Choubey S., Goel M. Comparative performance of machine learning algorithms for fake news detection Singh M., Gupta P., Tyagi V., ...
Detection of fake news using deep learning CNN–RNN based methods 2022, ICT Express Citation Excerpt : They use Fake News Dataset [16], and as a result, their proposed method is outperformed Ahmad et al. study [15], where the accuracy, precision, recall, and F1-score are 98.36%, 99.40...
Fake news detection is very difficult while its spread is simple and has vast repercussions. To tackle this problem we propose a model which detects fake information and news with the help of Deep Learning and Natural Language Processing. A Deep Neural Network on self scraped data set is traine...