Fake news is defined as a made-up story with an intention to deceive or to mislead. In this paper we present the solution to the task of fake news detection by using Deep Learning architectures. Gartner research [1] predicts that "By 2022, most people in mature economies will consume ...
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 ...
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, ...
deep-learning dataset fake-news-detection explainable-fake-news-detection Updated Sep 13, 2024 Python ICTMCG / ARG Star 68 Code Issues Pull requests Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024. fake-news...
Recent studies have shown that fake and real news spread differently on social media, forming propagation patterns that could be harnessed for the automatic fake news detection. Propagation-based approaches have multiple advantages compared to their content-based counterparts, among which is language ...
DeepFM and convolutional neural networks ensembles for multimodal rumor detection Comput. Sci., 49 (1) (2022), pp. 101-107 Google Scholar Comito et al., 2023 Comito C., Caroprese L., Zumpano E. Multimodal fake news detection on social media: a survey of deep learning techniques Soc. Netw...
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., ...
[1] Our experiments demonstrate the importance of learning associations between the two modalities and aligning visual and text signals in the fake news detection task. Also, learning visually-grounded language understanding has also been proven to be transferable and pretrainable among different vision...
Developing a Fake News Detection model using Deep Learning Techniques and Natural Language Processing - smaach/Fake-News-Detection
Therefore, how to obtain fresh and high-quality labeled samples is the major challenge in employing deep learning models for fake news detection. In order to tackle this challenge, we propose a reinforced weakly-supervised fake news detection framework, i.e., WeFEND, which can leverage users' ...