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FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
March 18, 2024, 4:47 a.m. | Shaina Raza, Tahniat Khan, Drai Paulen-Patterson, Veronica Chatrath, Mizanur Rahman, Oluwanifemi Bamgbose
cs.CL updates on arXiv.org arxiv.org
Abstract: In today's technologically driven world, the rapid spread of fake news, particularly during critical events like elections, poses a growing threat to the integrity of information. To tackle this challenge head-on, we introduce FakeWatch, a comprehensive framework carefully designed to detect fake news. Leveraging a newly curated dataset of North American election-related news articles, we construct robust classification models. Our framework integrates a model hub comprising of both traditional machine learning (ML) techniques and cutting-edge …
abstract arxiv challenge credible cs.cl elections events fake fake news framework head information integrity threat type world
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