April 16, 2024, 4:44 a.m. | Sergio Burdisso, Dairazalia S\'anchez-Cort\'es, Esa\'u Villatoro-Tello, Petr Motlicek

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.09565v1 Announce Type: cross
Abstract: Evaluating the reliability of news sources is a routine task for journalists and organizations committed to acquiring and disseminating accurate information. Recent research has shown that predicting sources' reliability represents an important first-prior step in addressing additional challenges such as fake news detection and fact-checking. In this paper, we introduce a novel approach for source reliability estimation that leverages reinforcement learning strategies for estimating the reliability degree of news sources. Contrary to previous research, our …

abstract arxiv birds challenges cs.ai cs.cl cs.cy cs.lg detection fake fake news information journalists media news media organizations prior reliability research together type

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