Using the profile of publishers to predict barriers across news articles

TL;DR

This paper introduces a method to detect barriers in news propagation using Wikipedia concepts and metadata, achieving high accuracy and offering insights into how news crosses various socio-political and geographical barriers.

Contribution

The paper presents a novel approach leveraging Wikipedia concepts for barrier detection in news spreading, demonstrating high accuracy with simple classification models.

Findings

High accuracy in barrier detection using simple models

Effective use of Wikipedia concepts and metadata

Potential to predict information spreading barriers

Abstract

Detection of news propagation barriers, being economical, cultural, political, time zonal, or geographical, is still an open research issue. We present an approach to barrier detection in news spreading by utilizing Wikipedia-concepts and metadata associated with each barrier. Solving this problem can not only convey the information about the coverage of an event but it can also show whether an event has been able to cross a specific barrier or not. Experimental results on IPoNews dataset (dataset for information spreading over the news) reveals that simple classification models are able to detect barriers with high accuracy. We believe that our approach can serve to provide useful insights which pave the way for the future development of a system for predicting information spreading barriers over the news.