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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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    March 30, 2010, 6 p.m.

    Links on Twitter: “Hot spotting” makes video elements clickable, companies ban social media in India, The Guardian gets a homepage redesign

    Scientists discover a special magnet to the skull can disrupt moral reasoning. Could the technique save newspapers? http://j.mp/ahZqiO »

    Tough times for Twitter lovers in India, 96% of companies prohibit social media. (46% of U.S. companies) http://j.mp/bFIBci »

    Advertisers are catching on to “hot spotting,” new technology that makes elements in online videos clickable http://j.mp/c8BzWH »

    Congratulations, Lukas Prize winners! Awards for excellence in nonfiction writing announced today http://j.mp/dvy2nM »

    The Guardian gets a homepage redesign http://j.mp/9wqa9F »

    Another revenue stream? Trib to sell archived photos dating back to early 1900s (via @iwantmedia) http://j.mp/c8IzZz »

    New York Press Association launches $4 million statewide campaign to sell people on local papers http://j.mp/dxemao »

    Google fixed Buzz privacy concerns in a flash, but 11 House members still want FTC to investigate http://j.mp/d9P3uk »

    Good morning! Gawker tracks “recurring reader affection” as an impact metric http://j.mp/cG5Xlw »

     
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    The latest from Nieman Lab
    From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam
    Renee DiResta, Abhiram Reddy, and Josh A. Goldstein
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    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.”
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