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EmilyGorcenski's profile
Emily G
Emily G
Emily G
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@EmilyGorcenski

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Emily GVerified account

@EmilyGorcenski

Lead Data Scientist, activist, survivor. Was actually assaulted by an actual right-wing terrorist. Opinions belong only to me, especially the bad ones. she/they

Deep Space Nine
emilygorcenski.com
Joined June 2013

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    1. Emily G‏Verified account @EmilyGorcenski Mar 19

      I wanna talk a sec about CA, FB, and data science for a sec. I think we're badly mis-identifying the problem.

      6 replies 56 retweets 132 likes
      Show this thread
    2. Emily G‏Verified account @EmilyGorcenski Mar 19

      Data science can do amazing things. I am a data scientist and it is my job to do amazing things with data. But a lot of the time it's not the amazing things with algorithms that make the difference.

      1 reply 2 retweets 62 likes
      Show this thread
    3. Emily G‏Verified account @EmilyGorcenski Mar 19

      Data science can be a process of squeezing blood from a stone. For as many things I've seen DS do, I've seen the equivalent insight that we ought to market khakis to land rover owners.

      3 replies 3 retweets 64 likes
      Show this thread
    4. Emily G‏Verified account @EmilyGorcenski Mar 19

      Sometimes, data science is really about telling the obvious at scale. We all know which of our friends and family are the racisg conspiract theorists. We don't need data science to figure that out. That's not the insight, that's not the power.

      1 reply 3 retweets 64 likes
      Show this thread
    5. Emily G‏Verified account @EmilyGorcenski Mar 19

      The power is having the data at scale in the first place. Cambridge Analytica probably didn't need to do some fancy algorithmic dance. They might have, it may have optimized it, but the algorithms didn't make the weapon.

      4 replies 11 retweets 83 likes
      Show this thread
      Emily G‏Verified account @EmilyGorcenski Mar 19

      The weapon was built the very minute that FB aggregated the data and gave it an interactive frontend. The weapon is the raw, unprocessed information at scale. Not the neural network it's fed into. The weapon is the fact that a display mechanism is bolted to those data.

      7:50 PM - 19 Mar 2018
      • 48 Retweets
      • 137 Likes
      • Roger Simpson foxgrrl 🐿️ Laurel Lynn Leake 🍃 Red Shirt #2 ian morris Shifty Cow 🏳️‍🌈 Ibby Jasmine Humbert J. C. Cantwell
      2 replies 48 retweets 137 likes
        1. New conversation
        2. Emily G‏Verified account @EmilyGorcenski Mar 19

          Cambridge Analytica wasn't the smartest, most innovative. They were the most craven.

          4 replies 26 retweets 110 likes
          Show this thread
        3. Emily G‏Verified account @EmilyGorcenski Mar 19

          The problem here is that facebook has access to this data at all. That they can parcel it out at will, uncontrolled. But then also that the flow can be reversed: you can push data of your own back to those same users.

          2 replies 20 retweets 80 likes
          Show this thread
        4. Emily G‏Verified account @EmilyGorcenski Mar 19

          Being able to do one of those things at scale is hugely powerful. Being able to do both is unconscionable.

          3 replies 12 retweets 69 likes
          Show this thread
        5. Emily G‏Verified account @EmilyGorcenski Mar 19

          Facebook itself is the weapon. The fact that data is strapped to a display engine is the issue. CA is the problem only insomuch as they were the first group willing to do the Bad Thing that we all have been screaming about for years.

          5 replies 65 retweets 154 likes
          Show this thread
        6. Emily G‏Verified account @EmilyGorcenski Mar 19

          If it wasn't CA, it would have been someone else. Because the Bad Thing was too easy and too obvious to ignore.

          6 replies 8 retweets 78 likes
          Show this thread
        7. End of conversation
        1. New conversation
        2. Grace Lidia Suárez‏ @gracels Mar 19
          Replying to @EmilyGorcenski @neur0atypical

          Lay Twitter needs a translation, por favor 💕

          1 reply 0 retweets 0 likes
        3. Neuro Atypical‏ @neur0atypical Mar 20
          Replying to @gracels @EmilyGorcenski

          She's speaking CompSci CA built by code a program to let em plug into FB's aggregated data Analogy would be a bank (IRS, DMV, i.e. large data collecting institutions) allowing a contractor to write a program to let it mine all the info on, o, say 50M of their users' personal data

          1 reply 0 retweets 0 likes
        4. Neuro Atypical‏ @neur0atypical Mar 20
          Replying to @neur0atypical @gracels @EmilyGorcenski

          The reality is those large institutions (Social Security, insurance companies, mutual fund companies, real estate companies, etc) all collect much personal data the same way FB does. The difference is those businesses are bound by law to protect their members' personal data.

          1 reply 0 retweets 0 likes
        5. Neuro Atypical‏ @neur0atypical Mar 20
          Replying to @neur0atypical @gracels @EmilyGorcenski

          So to get an idea of what FB actually did think of Social Security or the IRS just deciding 1 day, hey, we have all this data, this contractor company wants to pay us to tap into a chunk of this nation's personal info - & agreeing to let them write a program to data-mine it ☹️

          1 reply 0 retweets 0 likes
        6. Neuro Atypical‏ @neur0atypical Mar 20
          Replying to @neur0atypical @gracels @EmilyGorcenski

          .@normangoldman as 1 of Norman Goldman's cool sound clips says "That's not a nice thing to do !" 🤔

          1 reply 0 retweets 0 likes
        7. Neuro Atypical‏ @neur0atypical Mar 20
          Replying to @neur0atypical @gracels and

          Neuro Atypical Retweeted

          btw Grace, this is actually correct https://twitter.com/BV/status/976003808085139459 …

          Neuro Atypical added,

          This Tweet is unavailable.
          1 reply 0 retweets 0 likes
        8. Grace Lidia Suárez‏ @gracels Mar 20
          Replying to @neur0atypical @EmilyGorcenski @normangoldman

          No status found with the ID message

          1 reply 0 retweets 0 likes
        9. Neuro Atypical‏ @neur0atypical Mar 21
          Replying to @gracels @EmilyGorcenski @normangoldman

          Neuro Atypical Retweeted Molly McKew

          Interesting, I think it was titled "Facebook is the problem" by BloombergView. Maybe they deleted, posted an edited take. I'll search for it. In the meantime, this is interesting ...https://twitter.com/MollyMcKew/status/976597071456362497 …

          Neuro Atypical added,

          Molly McKewVerified account @MollyMcKew
          I'm enjoying the aggressive counter-narrative against Cambridge Analytica stories. Here's some ways to evaluate this: Mercer has made a gazillion dollars using data-driven trading algorithms, some years making 100% profit for clients. Would he invest in a bad data operation? /1
          Show this thread
          1 reply 0 retweets 0 likes
        10. 1 more reply

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