2024/02/28 by Manuel Pratelli, Fabio Saracco, Pratelli, Manuel +3
Social Sciences · #FOS: Computer and information sciences #Misinformation and Its Impacts #Public Relations and Crisis Communication #Social and Information Networks (cs.SI)
paper · pdf · doi:10.48550/arxiv.2402.18621
openalex publication_date 2024/02/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
With the primary goal of raising readers' awareness of misinformation phenomena, extensive efforts have been made by both academic institutions and independent organizations to develop methodologies for assessing the trustworthiness of online news publishers. Unfortunately, existing approaches are costly and face critical scalability challenges. This study presents a novel framework for assessing the trustworthiness of online news publishers using user interactions on social media platforms. The proposed methodology provides a versatile solution that serves the dual purpose of i) identifying verifiable online publishers and ii) automatically performing an initial estimation of the trustworthiness of previously unclassified online news outlets.