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From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam
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April 1, 2011, 6 p.m.

Links on Twitter: Schiller’s optimistic, TPM’s on fire, the NYT and ProPublica are hiring

How Amazon, Apple, Google, and more are trying to make your wallet obsolete http://nie.mn/eGekGE »

.@ClaraJeffery: "I’m mystified by how few magazine and newspaper editors are themselves on Twitter" http://nie.mn/h95S7t »

Great summary of The Guardian’s past efforts to expand to the US in this @paidcontent story http://nie.mn/hBToc0 »

PSA: @propublica is looking for a senior editor, research director, and reporter http://nie.mn/f4prk5 »

RT @webjournalist: Quote from Apple: "Culture eats strategy for lunch everyday" via @annenberglab conference presentation. »

.@TPM has its biggest traffic quarter in history, with this March its biggest non-election month to date http://nie.mn/gWRDTA »

RT @Chanders: RT @suerobinsonUW: Last year ISOJ was all about "transactional information." This year it’s platform platform platform. #isoj »

Nice! @hermida‘s Storify of Vivian Schiller’s "reasons to be cheerful" keynote at #ISOJ http://nie.mn/emg9Yg »

FYI, everyone! MT @palafo: No joke: @nytimes is looking for 24/7 home page editors. Email news-jobs@nytimes.com »

Starting now on the #ISOJ livestream: Vivian Schiller’s keynote address http://nie.mn/f16YMH »

The best April Fool’s joke we’ve seen so far: http://www.hulu.com/ »

"Times employees can view the first 6 letters of each word at no charge (including slideshows of adorable kittens)." http://nie.mn/eelaY7 »

Volvo has unlocked the MLB paywall for April http://nie.mn/eFyVuB »

 
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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.”