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Conspirador Norteño

@conspirator0

Aug 25, 2019 • 8 tweets • 9 min read • Read on X

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@ZellaQuixote

This thread about 100 key #MAGA accounts and the network they form drew some interesting attention, especially from the right-hand side of the political aisle. We got all meta and analyzed the reactions.

cc: @ZellaQuixote

https://twitter.com/conspirator0/status/1165063839160918017

@ZellaQuixote

@ZellaQuixote In the 24 hours since the thread was posted, it received 4128 retweets, replies, quote tweets, and retweets of replies/quote tweets from 2821 accounts. The initial burst of traffic is mostly non-MAGA accounts, with the #MAGA attention materializing the following day.

@ZellaQuixote

@ZellaQuixote 14 of the accounts listed in the thread (beginning with @martingeddes) interacted with it in some way during the 24 hours after it was launched. The reply from @martingeddes appears to have kicked off the ensuing wave of #MAGA interest.

@ZellaQuixote

@ZellaQuixote @martingeddes The #MAGA replies tend to fit into one of several major categories. Comments along the lines of "hey thanks for this list of accounts to follow!" are the most common, but several other themes turn up repeatedly as well. (Retweets are excluded from this portion of the analysis.)

@ZellaQuixote

@ZellaQuixote @martingeddes Some examples of the #MAGA replies from the following categories:

- "thanks for list of accounts to follow"
- demonization as reaction to descriptive data
- "add me to the list!"
- replies telling us to get a life etc

@ZellaQuixote

@ZellaQuixote @martingeddes More examples:

- non-sequitur replies about Russia or bots despite neither being mentioned in the thread
- "congrats on figuring out how Twitter works"
- assertions that some of the accounts are "fake MAGA"
- replies imploring us to research topics of the replier's choice

@ZellaQuixote

@ZellaQuixote @martingeddes Update: 22 of the 100 accounts in the network described in our previous thread have now interacted with it. Here's a visualization of how it spread:

@ZellaQuixote

@ZellaQuixote @martingeddes We decided to test @ChatByCC's assertion about swarming, and thus far it seems like projection: interactions with her account haven't varied significantly since we posted our #MAGA network thread, whereas ours have definitely spiked.

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Conspirador Norteño

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Jun 6

Some thoughts on perennial pitfalls in news coverage of social media manipulation that frequently result in reporting on fake accounts/bots/etc being far less accurate and informative than it ought to be...

cc: @ZellaQuixote
conspirator0.com/p/journalism-i…

The most common problem with news articles about fake accounts: failure to include any examples of fake accounts or evidence of their inauthenticity. Any or all of these headlines might be accurate, but you can't tell from the articles, due to absence of evidence.

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Does thanking, praising, or insulting an LLM-based chatbot affect the speed or accuracy of its responses to questions involving basic arithmetic? Let's find out!

cc: @ZellaQuixote
conspirator0.com/p/how-to-talk-…

For this experiment, Meta’s Llama 3.1 model was asked to add and multiply random numbers between 10 and 100, with six different wordings: polite, rude, obsequious, urgent, and short and long neutral forms. Each combination of math operation and wording was tested 1000 times.

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cc: @ZellaQuixote

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cc: @ZellaQuixote

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cc: @ZellaQuixote

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cc: @ZellaQuixote

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