Large scale analysis of violent death count in daily newspapers to quantify bias and censorship

Abstract In this work we develop a series of techniques and tools to determine and quantify the presence of bias and censorship in newspapers. These algorithms are tested analyzing the occurrence of keywords ‘killed’ and ‘suicide’ (‘morti’’, ‘suicidio’ in Italian) and their changes over time, gender...

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Bibliographic Details
Main Author: Marco Casolino
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:Journal of Big Data
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40537-020-00338-1