The focus is given mainly to deep learning models and its use in fake news detection. A comprehensive survey of the current literature and datasets used, along with evaluation metrics, are highlighted. Finally, promising research directions toward fake news detection are mentioned.G, Santho...
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 ...
Diagram via “The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors,” found at http://cbmm.mit.edu/sites/default/files/publications/fake-news-paper-NIPS.pdf “In our case, we wanted to understand what was the decision-process of the classifier based only on la...
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, ...
This work proposes a deep learning-based efficient approach for fake news detection based on linguistic features in the PolitiFact Corpus, a semi-automatically processed and collected database from the fact-checking website PolitiFact.com, which rates the accuracy of claims by elected officials and ...
概 基本的定义 特征 [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 an...
However, very few of them can be labeled (as fake or true news) in a short time. In order to achieve timely detection of fake news in social media, a novel deep two-path semi-supervised learning model is proposed, where one path is for supervised learning and the other is for ...
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...
Developing a Fake News Detection model using Deep Learning Techniques and Natural Language Processing - smaach/Fake-News-Detection
GBERT: A hybrid deep learning model based on GPT-BERT for fake news detection The digital era has expanded social exposure with easy internet access for mobile users, allowing for global communication. Now, people can get to know wha... P Dhiman,A Kaur,D Gupta,... - 《Heliyon》 被引...