FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections

arXiv:2403.09858v1 Announce Type: new
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