Marinka Zitnik

Fusing bits and DNA

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ACM XRDS: Dynamics of News from The New York Times

New issue of ACM XRDS is here! The focus of this issue is on techniques for natural language processing in the broader sense. You will find interesting stories about how to detect influencers in social media discussions, how to successfully transition from academia to entrepreneurship, and read about the hurdles and opportunities in research of ancient written languages.

My department contributed a short column on exploring news from The New York Times. Techniques of information extraction and natural language processing allow us to search for news articles and to analyze dynamics of published content. News organizations, such as The New York Times, provide programmatic access to their articles to retrieve headlines, abstracts, and links to published multimedia. In the column we use The New York Times Article Search API to demonstrate how to construct search queries that retrieve documents from various news sections and time periods. We also explore the pulse of climate change over the years using data extracted from published news articles.