DJDC #31 - What makes a data story newsworthy?


Details
Meetup #31 will be held on Zoom. A link to the event will be sent shortly before the event to everyone who registered, both here on Meetup, AND here https://bit.ly/DJDC31RSVP
Update: The Zoom link to join the event is: https://us02web.zoom.us/j/83317671033?pwd=ZytYZlBveGlkUmlOT1E3QTRqd01vUT09
NOTE: If you have not RSVPed or received the Zoom link to the call, please email flaviusoxford@gmail.com or text +1 202 370 1437 (also Whatsapp).
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What makes a data story newsworthy?
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HUO JINGNAN, an assistant producer on NPR's investigations team, will explain what makes a data story newsworthy, share tips on how to pitch data journalism stories, and talk about data’s role in journalism today.
Below are some suggested readings from Jingnan. You’re encouraged to read them but they aren’t mandatory to follow her presentation. She thinks it’s important to understand how the journalism industry works in general - chances are the journalist you are pitching to or working with doesn’t work with data day to day.
University of Nebraska: What is Newsworthy
https://www.unomaha.edu/university-communications/our-services/what-is-newsworthy.php
NPR Training: 3 simple ways to find story ideas
https://training.npr.org/2016/10/17/3-simple-ways-to-find-story-ideas
NPR Training: What makes a good pitch? NPR editors weigh in
Pitching Reveal
https://training.npr.org/2017/01/24/what-makes-a-good-pitch-npr-editors-weigh-in
Pitching Reveal
https://www.revealnews.org/pitching-reveal
Nieman Lab: How to successfully pitch The New York Times (or, well, anyone else)
https://www.niemanlab.org/2018/10/how-to-successfully-pitch-the-new-york-times-or-well-anyone-else
As an assistant producer on NPR's investigations team, Jingnan helps with reporting, research, and production both on the team and in the network. She was the primary data reporter on Coal's Deadly Dust, a project investigating black lung disease's resurgence. The project won an Edward Murrow Award and NASEM Communications award, and was nominated for a George Foster Peabody award.
She has also analyzed air monitoring data to see if lockdowns under the coronavirus pandemic made the air cleaner, and investigated why face mask guidelines differ between countries.
Jingnan has a master's degree from Northwestern University's Medill School of Journalism.
You can follow Jingnan on
Twitter, https://twitter.com/Jingnan_Huo
NPR, https://www.npr.org/people/726257042/huo-jingnan
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DJDC #31 - What makes a data story newsworthy?