  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.
