Links for 2019-08-14

  • How YouTube Radicalized Brazil

    YouTube’s search and recommendation system appears to have systematically diverted users to far-right and conspiracy channels in Brazil. A New York Times investigation in Brazil found that, time and again, videos promoted by the site have upended central elements of daily life. Teachers describe classrooms made unruly by students who quote from YouTube conspiracy videos or who, encouraged by right-wing YouTube stars, secretly record their instructors. Some parents look to “Dr. YouTube” for health advice but get dangerous misinformation instead, hampering the nation’s efforts to fight diseases like Zika. Viral videos have incited death threats against public health advocates. And in politics, a wave of right-wing YouTube stars ran for office alongside Mr. Bolsonaro, some winning by historic margins. Most still use the platform, governing the world’s fourth-largest democracy through internet-honed trolling and provocation. YouTube’s recommendation system is engineered to maximize watchtime, among other factors, the company says, but not to favor any political ideology. The system suggests what to watch next, often playing the videos automatically, in a never-ending quest to keep us glued to our screens.

    (tags: youtube politics brazil future grim engagement machine-learning google zika)

  • security-bulletins/2019-002.md at master · Netflix/security-bulletins

    A variety of DOS attacks against HTTP/2 server-side implementations

    (tags: http2 dos security attacks netflix)

  • IBM’s photo-scraping scandal shows what a weird bubble AI researchers live in – MIT Technology Review

    scraping data from publicly available sources is so much of an industry standard that it’s taught as a foundational skill (sans ethics) in most data science and machine-learning training. […] this story highlights the need for the tech industry to adapt its cultural norms and standard practices to keep pace with the rapid evolution of the technology itself, as well as the public’s awareness of how their data is used.

    (tags: scraping privacy data ai big-data data-privacy flickr photos machine-learning)

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