Nieman Foundation at Harvard
HOME
          
LATEST STORY
From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam
ABOUT                    SUBSCRIBE
June 15, 2011, 6 p.m.

Links on Twitter: Americans are gobbling video, lawmakers own lots of media stock

How to talk to lunatics and deal with harassment — and other tips for the investigative reporter http://nie.mn/jB9GYQ via @kalannigan »

How the NYT uses Twitter as a database: http://nie.mn/jN7Akw (Nerds, behold the blog’s clever tagline.) »

Bitly Pro is out of beta, available to all http://nie.mn/irk2CY (that’s a Bitly Pro link) »

RT @mlcalderone: When is a “conflict” a “civil war?” AP makes the call on Libya. http://nie.mn/lYlp7s »

Las Vegas judge threatens copyright defender Righthaven with sanctions http://nie.mn/mEWVKq via @Poynter »

The @mcsweeneys website got some nice improvements under the hood (“finally Y2K ready”) http://nie.mn/iUqPdG »

Sen. John Kerry owns a $1.75 million stake in Comcast and a $600,000 stake in News Corp. http://nie.mn/isBIWU »

YouTube’s “Life in a Day” movie is apparently very good http://nie.mn/iQNs15 »

The executive producer of Frontline wants to create a Public Journalism Fund http://nie.mn/lWG1gx »

Congratulations to the @berkmancenter‘s new 2011-12 fellows http://nie.mn/kQv0K5 »

PSA: @MotherJones is hiring a digital news editor in San Francisco http://nie.mn/jdTuDk »

Nielsen finds Americans are consuming more video than ever before, on all platforms http://nie.mn/jwLrn6 »

 
Join the 60,000 who get the freshest future-of-journalism news in our daily email.
From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam
Within days of visiting the pages — and without commenting on, liking, or following any of the material — Facebook’s algorithm recommended reams of other AI-generated content.
What journalists and independent creators can learn from each other
“The question is not about the topics but how you approach the topics.”
Deepfake detection improves when using algorithms that are more aware of demographic diversity
“Our research addresses deepfake detection algorithms’ fairness, rather than just attempting to balance the data. It offers a new approach to algorithm design that considers demographic fairness as a core aspect.”