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Rookie: A unique approach for exploring news archives
August 06, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Abram Handler, Brendan O'Connor
arXiv ID
1708.01944
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CL
Citations
12
Venue
arXiv.org
Last Checked
4 months ago
Abstract
News archives are an invaluable primary source for placing current events in historical context. But current search engine tools do a poor job at uncovering broad themes and narratives across documents. We present Rookie: a practical software system which uses natural language processing (NLP) to help readers, reporters and editors uncover broad stories in news archives. Unlike prior work, Rookie's design emerged from 18 months of iterative development in consultation with editors and computational journalists. This process lead to a dramatically different approach from previous academic systems with similar goals. Our efforts offer a generalizable case study for others building real-world journalism software using NLP.
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