fake

8 posts
Guide to manipulated video

I have a feeling we’re in for a lot of manipulated videos as we get closer to the election. The Washington Post provides a guide for the different types. I hope they keep building on this with a guide on how to spot the fakes, but as they say, knowing is half the battle. Tags: fake, video, Washington Post

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Fake internet

Max Read for New York Magazine describes the fake-ness of internet through the metrics, the people, and the content: Can we still trust the metrics? After the Inversion, what’s the point? Even when we put our faith in their accuracy, there’s something not quite real about them: My favorite statistic this year was Facebook’s claim that 75 million people watched at least a minute of Facebook Watch videos every day...

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Spotting AI-generated faces

Computers can generate faces that look real. What a time to be alive. As it becomes easier to do so, you can bet that the software will be used at some point for less innocent reasons. You should probably know how to tell the difference between fake and real. Kyle McDonald provides a guide to the telltale signs of AI-generated faces. Tags: AI, faces, fake

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Lessons from posting a fake map about pies

Brian Brettschneider made a joke map randomly designating the favorite pies of certain areas. While intended as a joke and a parody of past “favorite” maps, some people took it too seriously — like Senator Ted Cruz. Brettschneider describes the lessons he learned: Maps hold a special standing among the public. We tend to place very high value in maps as holders of accurate information. If it’s in a map,...

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Analysis of fake YouTube views

Wherever more attention or the appearance of it equates to more money, there are those who try to game the system. Michael H. Keller for The New York Times examines the business of fake YouTube views: YouTube’s engineers, statisticians and data scientists are constantly improving in their ability to fight what Ms. O’Connor calls a “very hard problem,” but the attacks have “continually gotten stronger and more sophisticated,” she said....

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Twitter bot purge

With Twitter cracking down, some users are experiencing bigger dips in follower count than others. Jeremy Ashkenas charted some of the drops. Tags: fake, Twitter

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Changing Twitter, with Statistics

Earlier this year, The New York Times investigated fake followers on Twitter showing very clearly that it was a problem. It’s hard to believe that Twitter didn’t already know about the scale of the issue, but after the story, the social service finally started to work on the problem. Nicholas Confessore and Gabriel J.X. Dance for The New York Times: An investigation by The New York Times in January demonstrated...

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Finding fake followers

This fake follower piece by Nicholas Confessore, Gabriel J.X. Dance, Richard Harris, and Mark Hansen for The New York Times is tops. In search of shortcuts to greater influence, many buy followers, likes, and retweets on Twitter. The numbers go up, but a lot of extra “influence” is just automated fluff. The Times focuses on one company, Devumi, and investigates the follower pattern of some of the customers, as shown...

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