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Data Journalism – How Not To Be Wrong

This article and the checklist are relevant to researchers in all sectors – via Winny de Jong – May 25, 2017

At the intersection of data and journalism, lots can go wrong. Merely taking precautions might not be enough. “It’s very well possible that your story is true but wrong,” New York Times data journalist Robert Gebeloff explained at the European Investigative Journalism Conference & Dataharvest, which was recently held in Mechelen, a city 20 minutes outside of Brussels. “When I work on a big story, I want to know everything about the topic.” To make sure he doesn’t miss out, Gebeloff gets all the data sources he can, examines it in all relevant ways and publishes only what he believes to be true…”

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