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  • Facebook Takes New Steps To Crack Down On Video Clickbait Facebook Takes New Steps To Crack Down On Video Clickbait
  • Tom Scott Explains Why YouTube Is So Quiet About The Details Of Its Recommendation Algorithm

    YouTuber Tom Scott has discussed neural networks in his attempt to explain why YouTube does not share details of its recommendation algorithm.

    Tom Scott Explains Why YouTube Is So Quiet About The Details Of Its Recommendation Algorithm
  • Facebook Will Adjust News Feed Algorithm To Prioritize Longer Videos

    Longer videos seem to be Facebook’s current focus, as such clips would presumably have a better chance at nabbing lucrative TV ad dollars.

    Facebook Will Adjust News Feed Algorithm To Prioritize Longer Videos
  • Tubefilter’s (Semi) Serious Online Video Predictions For 2017

    There's a lot in store for the online video industry in 2017. Here are some semi-serious predictions we're looking toward in the new year.

    Tubefilter’s (Semi) Serious Online Video Predictions For 2017
  • PewDiePie Asks For 1 Million ‘Dislikes’, Video Promptly Becomes Third Most-Disliked Ever On YouTube PewDiePie Asks For 1 Million ‘Dislikes’, Video Promptly Becomes Third Most-Disliked Ever On YouTube
  • Netflix Reportedly Uses AI To Dictate Content Acquisition Prices Netflix Reportedly Uses AI To Dictate Content Acquisition Prices
  • Here’s Another Theory For Why YouTube Views Are Down, From The “Game Theorist” Here’s Another Theory For Why YouTube Views Are Down, From The “Game Theorist”
  • Insights: Toward A New Publishing Paradigm Where Scale Fails And More Is Less Insights: Toward A New Publishing Paradigm Where Scale Fails And More Is Less
  • Netflix Execs: Our Recommendation Engine Saves Us $1 Billion Per Year Netflix Execs: Our Recommendation Engine Saves Us $1 Billion Per Year
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