MediaWatchers4Climate: Assessing the Accuracy of Climate Change Narratives in Greek Media Through Machine Learning

MediaWatchers4Climate: Assessing the Accuracy of Climate Change Narratives in Greek Media Through Machine Learning

This study introduces MediaWatchers4Climate, a methodological framework that leverages machine learning to evaluate the accuracy and rhetorical framing of climate change narratives in Greek online media. The model is designed to analyze large-scale textual data from over 1500 certified digital outle...

Full description

Saved in:
Bibliographic Details
Main Authors: Thomai Baltzi, Stella Nikitaki, Fani Galatsopoulou, Ioanna Kostarella, Andreas Veglis, Vasilis Vasilopoulos, Dimitris Papaevagelou, Antonis Skamnakis
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Machine Learning and Knowledge Extraction
Subjects:
climate change
media literacy
machine learning
Greek media
Online Access:https://www.mdpi.com/2504-4990/7/2/53
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2504-4990/7/2/53

Similar Items