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Researchers from EPFL and Idiap apply NLP methods (topic modeling, sentiment analysis, readability scoring) to over 2000 hyper-local news articles to assess how well local French-language media serves migrant communities. The study combines focus groups with computational text analysis to identify gaps between local news content and migrant readers' needs.