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Fake News Detector* A deep learning network developed by CBMM computer scientists that detects patterns in the language of fake news.
Jan 30, 2022 · In this paper, we propose a novel deep neural framework for fake news detection. We identify and address two unique challenges related to fake news: (1) early fake news detection and (2) label shortage. The framework has three essential parts: (1) news module, (2) social contexts module and (3) detection module.
Jan 1, 2022 · To promote the development of multi-domain fake news detection research, Nan et al. (2021) designed a benchmark of fake news dataset for multi-domain fake news detection with domain label annotated, namely Weibo21, which consists of 4488 fake news and 4640 real news from 9 different domains.
May 24, 2021 · Detection of fake images shared over social platforms is extremely critical to mitigating its spread. Fake images are often associated with textual data. Hence, a multi-modal framework is employed utilizing visual and textual feature learning.
This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.
Download the perfect fake news pictures. Find over 100+ of the best free fake news images. Free for commercial use No attribution required Copyright-free .
Aug 28, 2023 · Find helpful tools and resources to help you fact check and analyse, fake news and AI generated imagery.
Oct 26, 2022 · Fake News Detection using Machine Learning. Last Updated : 26 Oct, 2022. Fake news on different platforms is spreading widely and is a matter of serious concern, as it causes social wars and permanent breakage of the bonds established among people. A lot of research is already going on focused on the classification of fake news.
