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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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Aug. 12, 2011, 6 p.m.

Links on Twitter: Publicness, reading platforms, Instagram

“It is, after all, Instagram, not Latergram.” http://t.co/PxKhTNf »

Over the past year, Android-powered tablets have taken 20% of the global tablet market from the iPad http://t.co/B0XHmTr »

“This is the beginning of an age of sharing and publicness”: @jeffjarvis on his new book, Public Parts http://t.co/sLRvslC »

RT @Brizzyc: St. Louis Beacon (community news site) has more revenue from events than foundations. #aejmc11 »

1.5 million: approximate number of “likes” currently on @NYTimes‘ Facebook page http://t.co/acl4LfJ »

Is your ISP cheating you out of bandwidth? http://t.co/WJxMTQH »

Nice! Emphasis, @donohoe‘s deep-linking tool, is now featured on the FCC’s site (via @zseward) http://nie.mn/n7IsdE »

Interesting nugget about 111-111-1111 (R.I.P.): It was developed to help @NYTimes protect its sources http://nie.mn/qlkghS »

The closing of Borders means the closing of Borders’ powerful newsstand http://nie.mn/q2TF4X »

.@Alexismadrigal is really smart. http://nie.mn/pGVlmf »

In which @nickbilton reads a book (on ten different devices!) http://nie.mn/nVaQ4f »

“Citizens—the community—are our No. 1 customer, but they don’t pay.” @Seeclickfix‘s revenue strategy: http://nie.mn/ndCHMi »

Is AOL/HuffPo over-aggregating video? http://nie.mn/nESPLR »

 
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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.”