1/ Right now, I'm working through @johndoerr's Measure What Matters. I've only just gotten to chapter three — I'm trying to consume it slowly and deliberately. But, one idea it's already inspired:
I want to publicly share my "OKRs."https://www.whatmatters.com/
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4/ If you follow me, there is a good chance you're into statistics, machine learning, or data science. But, if you're an academic working in isolation, you may not have time to experiment with the twitter API and set up the infrastructure for collection.
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5/ I want to build a simple interface so you can do that part quickly and on an ad hoc basis. I want to lower the barriers of entry, so that we can get more eyeballs on the problem.
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6/ To that end, my first key result will be developing, $ brittlewit sample | gzip > tweets.jsonl.gz This is the lowest hanging fruit.
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7/ The next key result will be developing, $ brittlewit filter --track="keywords,..." and, $ brittlewit filter --follow="handle1,handle2,..."
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8/ There are plenty of libraries that do this in [your favorite language] but they are designed for app building more than for researcher needs. I'll keep adding next steps to this thread as I go.
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9/ A very, very, rough draft is good to go! (Please star and follow on
@github if you're interested!) https://github.com/jbn/brittlewit pic.twitter.com/DO21eA9FH8
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