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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Format: | Article |
Language: | English |
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SpringerOpen
2020-08-01
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Series: | Journal of Big Data |
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Online Access: | http://link.springer.com/article/10.1186/s40537-020-00338-1 |