May 2017
Intermediate
35m
English
case study
How the Washington Post uses machine learning to predict article popularity
by Eui-Hong Han, Shuguang Wang
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
Predicting which stories will become popular is an invaluable tool for newsrooms. Eui-Hong Han and Shuguang Wang explain how the Washington Post predicts what stories on its site will be popular with readers and share the challenges they faced in developing the tool and metrics on how they refined the tool to increase accuracy.
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