# TROPIC - Trustworthiness Rating of Online Publishers through online Interactions Calculation

arXiv: https://arxiv.org/abs/2501.13561 · HTML: https://mlsanity.com/paper/2501.13561/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Jan 2025.

## Built on by (most cited first, 1 of 1)

- [From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference](https://mlsanity.com/paper/2609.24219/) (2026)

## Abstract (arXiv)

Existing methods for assessing the trustworthiness of news publishers face high costs and scalability issues. The tool presented in this paper supports the efforts of specialized organizations by providing a solution that, starting from an online discussion, provides (i) trustworthiness ratings for previously unclassified news publishers and (ii) an interactive platform to guide annotation efforts and improve the robustness of the ratings. The system implements a novel framework for assessing the trustworthiness of online news publishers based on user interactions on social media platforms.