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aetherlev's profile
Claire Ryan
Claire Ryan
Claire Ryan
@aetherlev

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Claire Ryan

@aetherlev

Vintage/antique enthusiast, author of the Daemonva Trilogy :: I follow back when I feel like it ^_^ (she/her) (Gaeilgóir)

Unceded Musqueam territory, BC
claireryanauthor.com
Joined April 2010

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    Claire Ryan‏ @aetherlev 21 Jun 2020

    Okay I want to talk about the TikTok/K-pop stan let’s-troll-Trump operation and specifically about the data gathering aspect of it.

    8:31 am - 21 Jun 2020
    • 9,466 Retweets
    • 24,940 Likes
    • Dane Peterson Bi & 400lbs Chris Johnson webchick Christian Langreiter Miranda Vidak 🅽🅸🅲🅾🅻🅴 🆆🅸🅻🅻🅸🅰🅼🆂 🎀 Meg Crenshaw Francesca Summers
    388 replies . 9,466 retweets 24,940 likes
      1. New conversation
      2. Claire Ryan‏ @aetherlev 21 Jun 2020

        If you’ve been keeping up with the whole MO of the Trump campaign, Cambridge Analytica, micro-targeting of demographics on social media shit etc etc, you’ll know that gathering people’s info in order to shill for donations is a HUGE revenue stream.

        11 replies . 257 retweets 2,721 likes
        Show this thread
      3. Claire Ryan‏ @aetherlev 21 Jun 2020

        AFAIK that was the reason he ran. To campaign, get donations from the MAGAts, funnel vast lakes of money into his businesses. Like, it was just that simple. Doesn’t take much to feed racists the messaging they want to hear and suck money out of them.

        15 replies . 302 retweets 3,036 likes
        Show this thread
      4. Claire Ryan‏ @aetherlev 21 Jun 2020

        The Russians/GOP/various other factors caused him to win, which was not in the plan, but anyway Trump at least knows that firing up the base = MONEY.

        11 replies . 142 retweets 2,192 likes
        Show this thread
      5. Claire Ryan‏ @aetherlev 21 Jun 2020

        Yes yes, donations from big GOP donors, but you have to understand - there was a vast lake of untapped racist small donations that Trump plugged a hose into back in 2016. That hose is powered by data.

        5 replies . 176 retweets 2,299 likes
        Show this thread
      6. Claire Ryan‏ @aetherlev 21 Jun 2020

        (For reference: I’m a senior web dev specializing in data processing and analysis so I sort of know what I’m talking about.) Have you seen those spammy emails that Trump supporters get, asking for money? Yeah, they’re carefully tuned to get cash out of them.

        17 replies . 152 retweets 2,711 likes
        Show this thread
      7. Claire Ryan‏ @aetherlev 21 Jun 2020

        (Side note, I used to work in online advertising.) Your regular ad campaign that’s pitching, say, workout leggings uses a huge amount of data and A/B testing to determine what is effective. It’s advertising by statistics.

        8 replies . 110 retweets 2,093 likes
        Show this thread
      8. Claire Ryan‏ @aetherlev 21 Jun 2020

        Part of the reason that FB is so goddamn big isn’t because it’s any good, it’s solely because you can advertise to users based on their bio details and their Likes. Having those signals to determine how likely a person is to buy a product is the stuff of an advertiser’s dreams.

        13 replies . 244 retweets 2,540 likes
        Show this thread
      9. Claire Ryan‏ @aetherlev 21 Jun 2020

        Google works the same way TBH but at least Google’s core functionality is useful. You think having personalized search results is creepy and invasive until you’re like me, a web dev looking for obscure code errors...

        8 replies . 118 retweets 2,280 likes
        Show this thread
      10. Claire Ryan‏ @aetherlev 21 Jun 2020

        Like, Google is aware of the context of my searches and it always returns good results. If I’m looking for info on bash, for example, it’s not going to show me videos of street fights, I’ll get StackOverflow pages on the bash Linux shell.

        9 replies . 80 retweets 2,115 likes
        Show this thread
      11. Claire Ryan‏ @aetherlev 21 Jun 2020

        Anyway: the thing about this stuff is that it runs on ACCURATE data. The worst fucking thing about data analysis is when your data is corrupted or inaccurate, and you have no way of filtering it out. It means insights derived from the dataset are 100% junk.

        14 replies . 262 retweets 3,089 likes
        Show this thread
      12. Claire Ryan‏ @aetherlev 21 Jun 2020

        Now, other thing to know is that zoomers and millennials are THE tech savvy people and I would hazard a guess that the vast majority know how internet advertising works. They know about the data tracking.

        10 replies . 188 retweets 2,984 likes
        Show this thread
      13. Claire Ryan‏ @aetherlev 21 Jun 2020

        Probably not in any detail but the use of fake social media profiles and fake emails specifically to make advertising data worthless is a thing going back years. So the troll operation in this case, by all accounts, used fake emails and temp Google Voice numbers.

        5 replies . 249 retweets 3,014 likes
        Show this thread
      14. Claire Ryan‏ @aetherlev 21 Jun 2020

        And listen, people: you don’t know how fucking genius this is. I will bet a month’s salary that some poor database admin is now staring at a dataset of over a million ticket reservations that they were going to use to shill for donations and feeling sick.

        57 replies . 1,017 retweets 6,782 likes
        Show this thread
      15. Claire Ryan‏ @aetherlev 21 Jun 2020

        Not even just donations: I’d bet they were planning on using this data to cross reference against other sources and do additional micro-targeting. Let’s say they were going to use it to ID moderates to advertise to them.

        6 replies . 216 retweets 3,291 likes
        Show this thread
      16. Claire Ryan‏ @aetherlev 21 Jun 2020

        They might have planned to ID any Democrat trolls and just slide that particular subset on to someone who can fuck with voter registrations. Or cross-reference signals on location, and determine how to direct their campaign spending based on that.

        6 replies . 192 retweets 2,391 likes
        Show this thread
      17. Claire Ryan‏ @aetherlev 21 Jun 2020

        Anyway - point being, they were probably expecting some level of trolling but not this. That dataset is probably complete junk. Any registration that doesn’t correlate somehow to known good information is now suspect.

        11 replies . 245 retweets 3,441 likes
        Show this thread
      18. Claire Ryan‏ @aetherlev 21 Jun 2020

        Like, for voters who they have a profile on already, like committed MAGAts, they can probably select them out and add this data point to the profile for future use, but novel signups? The thing that Parscale was bragging about IIRC? Junk.

        4 replies . 183 retweets 2,985 likes
        Show this thread
      19. Claire Ryan‏ @aetherlev 21 Jun 2020

        You can’t tell the difference between a legit email/phone number and a fake email/Google Voice number. By automated means, is what I’m saying. Obviously if the email is “http://Trump.sucks .putins.balls@gmail.com” that’s a pretty safe bet for being fake.

        36 replies . 152 retweets 2,738 likes
        Show this thread
      20. Claire Ryan‏ @aetherlev 21 Jun 2020

        So at the very least, this means a TON of extra work for the marketing team at Trump HQ just to clean up the data (somehow) and make it usable. At worst, it means they toss it. And trust me on this: Trump may stiff contractors, but he ain’t stiffing them.

        11 replies . 182 retweets 2,710 likes
        Show this thread
      21. Claire Ryan‏ @aetherlev 21 Jun 2020

        That team keeps the money hose working. They are absolutely getting paid. So imagine if you spent a ton of money setting up a rally and getting the devops in place to collect marketing data (least you think those systems are cheap, they are not) and then...

        4 replies . 200 retweets 2,491 likes
        Show this thread
      22. Claire Ryan‏ @aetherlev 21 Jun 2020

        A few hundred thousand tech-savvy teenage trolls showed up to ratfuck you. I can’t think of any better example of the power of the people in the modern world than this.

        35 replies . 760 retweets 7,199 likes
        Show this thread
      23. Claire Ryan‏ @aetherlev 21 Jun 2020

        So in conclusion, all the photos of the half-empty arena are nice, but the thing really making me giggle is the thought of Parscale staring at that database and wondering when he’ll be fired.pic.twitter.com/lr40QN2UDE

        28 replies . 734 retweets 7,901 likes
        Show this thread
      24. Claire Ryan‏ @aetherlev 21 Jun 2020

        Quick PS to this thread: part of the reason that this is so genius is because Trump HQ likes to shill for donations by email. Allow me to enlighten you to how much time and money you have to spend on good, large scale email campaigns in order to get results.

        6 replies . 251 retweets 3,223 likes
        Show this thread
      25. Claire Ryan‏ @aetherlev 21 Jun 2020

        Answer: A FUCKTON. And you live an die on the accuracy of your mailing list. Fake emails are the bane of your life.

        17 replies . 152 retweets 3,036 likes
        Show this thread
      26. Claire Ryan‏ @aetherlev 21 Jun 2020

        Trump HQ now have to face whether they can drop $insert-ridiculous-money-here to run an email campaign on this dataset that is almost certainly 90% worthless and for which they may not be able to filter out the real registrations.

        14 replies . 174 retweets 2,286 likes
        Show this thread
      27. Claire Ryan‏ @aetherlev 21 Jun 2020

        Again: without known good data to use as a filter, they can’t tell which is a fake registration and which is one from a voter they haven’t got on their lists yet. And Trumpikins desperately needs to get to those voters.

        15 replies . 114 retweets 2,079 likes
        Show this thread
      28. Claire Ryan‏ @aetherlev 21 Jun 2020

        Like I can’t even tell you how much this whole thing makes me both smile and just internally clench because I know what it feels like to stare down the barrel of a billion records you spent excessive time/money compiling and it’s all fucking wasted.

        25 replies . 155 retweets 3,340 likes
        Show this thread
      29. Claire Ryan‏ @aetherlev 21 Jun 2020

        Other devops/data analysts will know that feeling. :P Anyway I might be going viral and I don’t have a soundcloud, so get out and vote, Nazis fuck off, support #BlackLivesMatter, and give all the money and power to women of color and trans people CLAIRE OUT

        305 replies . 498 retweets 10,299 likes
        Show this thread
      30. End of conversation

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