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What is 23itmnp B22 about?

This document presents an AI-driven framework for analyzing and comparing same-event news coverage from multiple sources using sentence embeddings and cosine similarity. The study identifies and clusters articles reporting on the same event, evaluates differences in tone and linguistic complexity, and provides a methodology for meaningful cross-source analysis. The framework was tested on a dataset of 800 articles, revealing significant variations in reporting styles across different news outlets.

Author

akhilpallapu31

Language

EN