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Python and AI in Journalism

Episode #280, published Sat, Sep 5, 2020, recorded Wed, Aug 26, 2020.

This episode is carbon neutral.
If there has ever been a time in history that journalism is needed to shine a light on what's happening in the world, it's now. Would it surprise you to hear that Python and machine learning are playing an increasingly important role in discovering and bringing us the news? On this episode, you'll meet Carolyn Stansky, a journalist and developer who's been researching this intersection.

Links from the show

Carolyn on Twitter: @carolstran
Carolyn on LinkedIn: linkedin.com
Carolyn's site: workwithcarolyn.com
Carolyn's talk: How AI is enhancing journalism: vimeo.com

Examples of AI / automation in use
Quakebot: bit.ly/quakebot-code
LA Homicide Tracker: homicide.latimes.com
reportermate: github.com
Buzzfeed Finding and tracking secret spy planes: bit.ly/buzzfeed-spy-planes
NY Times comment moderation: bit.ly/nyt-comments
Al Jazzira: Drones in warzones: bit.ly/fmls-keynote

Tools
Qz.ai - Quartz AI Studio, focused on helping smaller papers and journalists: qz.ai
Facets: github.io
Google News Initiative: bit.ly/google-ni

Newspaper3k Package: newspaper.readthedocs.io
FiveThirtyEight: fivethirtyeight.com
Google News and Australia fight: bbc.com
Twitter thread on American news overwhelming other countries: twitter.com

Want to go deeper? Check out our courses

Carolyn Stransky
Carolyn Stransky
Carolyn Stransky is a journalist and software developer based in Berlin. She is also a conference speaker and workshop organizer.
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