This Data Scientist Spent A Year Deep Inside The New York Times. Here's What He Discovered. — The Content Strategist

1/23/2014

This article discusses the findings of a data scientist who spent a year analyzing The New York Times. The data scientist used various tools and techniques to delve deep into the content and structure of the newspaper. Some of the key discoveries included the most popular articles by category, the impact of headlines and images on article performance, and the influence of article placement on reader engagement. The data scientist also examined the relationship between social media and article popularity, as well as the fluctuation of readership throughout the week. The findings shed light on the inner workings of The New York Times and provide insights into reader preferences and behavior.

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