1 posts
What YouTube recommendations look like for others

Watch enough YouTube, and you end up in a bubble of videos catered to everything you like and believe in. TheirTube, by Tomo Kihara and Polina Alexeenko and funded by the Mozilla Foundation, imagines the point of view of six personas: Each of these TheirTube personas is informed by interviews with real YouTube users who experienced similar recommendation bubbles. Six YouTube accounts were created in order to simulate the interviewees’...

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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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Music preference geography

Travel to different parts of the country, and you hear different types of music on replay. Josh Katz for The Upshot mapped the regionality based on the popularity of artists on YouTube. Of the artists on the Billboard Top 100 this spring, we looked at the 50 that were most watched on YouTube in the United States between January 2016 and April 2017. Each map shows relative popularity in different...

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Network Effect overwhelms with data

Network Effect by Jonathan Harris and Greg Hochmuth is a gathering of the emotions, non-emotion, and everyday-ness of life online. It hits you all at once and overwhelms your senses. We gathered a vast amount of data, which is presented in a classically designed data visualization environment — all real, all impeccably annotated, all scientifically accurate, all “interesting,” and yet all basically absurd. In this way, the project calls into...

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