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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 15, 2010, 6 p.m.

Links on Twitter: Salon and McSweeney’s partner up, TV newsrooms prefer Twitter to Facebook, CAPTCHA ads coming soon

The future of news, Hilarious Puppet edition http://j.mp/8ZJD1C »

Coming soon to a website near you: CAPTCHA advertising (via @simonowenshttp://j.mp/aVygpH »

The Economist launches tool to highlight its site’s most commented and debated content http://j.mp/aPNY81 »

“I believe all software is media and will be seen as such by its users.” (h/t @jasonfryhttp://j.mp/9y9DTz »

Someone tweets a link to a New York Times story once every 4 seconds: @harrisj explains beyond the stat http://j.mp/d3oPXb »

Salon and McSweeney’s launch a new content partnership http://j.mp/8XIWVi »

Great context for @lkmcgann‘s Apple app-police story http://j.mp/drj9aq: @NiemanReports on editorial cartoons http://j.mp/bNyzgo »

Only 20% of TV newsrooms have Facebook pages, but 71% use Twitter “constantly” or “daily” (via @poynterhttp://j.mp/dz660a »

Twitter now has 105,779,710 registered users http://j.mp/aSzASZ »

Can you put a price on a Facebook fan? Sure, try $3.60 http://j.mp/dmCyfM »

Nieman Lab to be featured in the Library of Congress! (And everyone else who tweeted anything, ever) http://j.mp/9a6E7y »

.@readwriteweb picks its top 10 YouTube videos about how Twitter has changed our culture http://j.mp/beJPbT »

 
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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.”