Several works on fake news detection have been done using machine learning and deep learning approaches. Recently, the deep learning approach has been preferred over machine learning because of its ability to comprehend the intricacies of textual data. The introduction of transformer architecture changed...
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, ...
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: Supervised Fake News Detection Analysis in Social Media With Semantic Similarity Method 来自 掌桥科研 喜欢 0 阅读量: 38 作者:V Konagala,S Bano 摘要: The engendering of uncertain data in ordinary access news sources, for example, news sites, web-based ...
[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
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...
The construction of deep learning models relies on plenty of labeled data, and the data acquisition of fake news has always been the main problem in the field of fake news detection. So the problem of data annotation has become the biggest bottleneck for rumor detection based on deep learning...
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...