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zeynep's profile
zeynep tufekci
zeynep tufekci
zeynep tufekci
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@zeynep

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zeynep tufekciVerified account

@zeynep

Complex systems, wicked problems. Society, technology, science and more. @UNC professor. @NYTimes columnist. My newsletter is @insight: http://www.theinsight.org 

floating in a most peculiar way
theinsight.org
Joined August 2009

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    1. zeynep tufekci‏Verified account @zeynep 13 Jun 2017

      zeynep tufekci Retweeted The New York Times

      NYT is moving to using machine learning to moderate its (actually, pretty great) comment section. Big shift. Will they study it thoroughly?https://twitter.com/nytimes/status/874592901073956864 …

      zeynep tufekci added,

      The New York TimesVerified account @nytimes
      The Times Sharply Increases Articles Open for Comments, Using Google’s Technology http://nyti.ms/2swFJZf 
      5 replies 47 retweets 72 likes
    2. zeynep tufekci‏Verified account @zeynep 13 Jun 2017
      Replying to @zeynep

      First, public editor eliminated in favor of reader feedback. Now, reader feedback will be machine moderated. Will any NYT folks read them?

      5 replies 13 retweets 26 likes
    3. zeynep tufekci‏Verified account @zeynep 13 Jun 2017
      Replying to @zeynep

      Machine learning is becoming our gatekeeper in so many areas without clear cut answers with which to anchor these alien intelligence filters

      4 replies 19 retweets 43 likes
    4. zeynep tufekci‏Verified account @zeynep 13 Jun 2017
      Replying to @zeynep

      It's not they don't work; it's that they are different and these differences are—yet— barely understood. Happening so fast since it's cheap.

      2 replies 5 retweets 17 likes
    5. zeynep tufekci‏Verified account @zeynep 13 Jun 2017
      Replying to @zeynep

      But once you plop it as the gatekeeper so fast, hard to study it properly because the gatekeeping introduces feedback as people adjust.

      4 replies 3 retweets 13 likes
    6. zeynep tufekci‏Verified account @zeynep 13 Jun 2017
      Replying to @zeynep

      Shifting gatekeeping to machine learning is not a small change even if your model seems to replicate your training data well.

      3 replies 7 retweets 14 likes
      zeynep tufekci‏Verified account @zeynep 13 Jun 2017

      At best, we are putting in systems that work-to-rule—ask any labor organizer why that can be the most potent form of strike.

      2:29 PM - 13 Jun 2017
      • 3 Retweets
      • 7 Likes
      • Bruce King Tony Naggs Jen Emile Snyder We would like to stop being proven right. 🌻🌹 Foucault’s Bangarang - Leah 🏴 Catherine Amayi Nanjira Jaycie
      2 replies 3 retweets 7 likes
        1. New conversation
        2. zeynep tufekci‏Verified account @zeynep 13 Jun 2017
          Replying to @zeynep

          We need to study this in many more ways; but the speed & logic that it's happening under isn't suited to that kind of research & reflection.

          1 reply 2 retweets 13 likes
        3. Albert Sun‏ @albertsun 13 Jun 2017
          Replying to @zeynep

          Continuing, serious q: What would doing that research and reflection well look like? Are there guidelines?

          0 replies 0 retweets 2 likes
        4. End of conversation
        1. New conversation
        2. Martin Burch‏ @seecmb 13 Jun 2017
          Replying to @zeynep @thirdtruck

          work-to-rule would be the equivalent of a rule-based 'expert system' ... machine learning is not that, it'll be seemingly arbritary at times

          2 replies 0 retweets 0 likes
        3. Jaycie‏ @thirdtruck 13 Jun 2017
          Replying to @seecmb @zeynep

          We'll get work-to-rule and seemingly arbitrary deviations, so the worst of both worlds.

          0 replies 0 retweets 0 likes
        4. End of conversation

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