Summarising and data mining Twitter for a summary of opinions expressed in a debate or for product preferences or an analysis of keywords can be useful. It also involves decisions as to how one filters the content out.
There is a tendency to want to Bumper sticker ideas and summary and concision is an enemy really of faceting complex systems, The Climate debate suffers from this tendency but so does the Field of Economics especially when it insists on pretending that Either money does not exist or that Politics does not exist or sometimes that both do not exist and every one acting in an Economic system are Totally Rational and operating with full knowledge of all possible system states.
Well I rose to the challenge when John Loundsbury tweeted this earlier today.
I found this fun tool for turning Twitter threads into Blog Posts, here is what Daniel its programmer says about it.
I made a Twitter app called Spooler. It turns Twitter threads into blog posts. Try it out! https://t.co/1SJwGtH5uq (early beta, expect bugs) pic.twitter.com/vNARR8HZrp— Darius Kazemi (@tinysubversions) July 12, 2017
A slow and flawed tool that actually exists
Spooler Does not scrape private data so Prof Werner's contributions are sadly not used in the App so I have just pasted the parts of the discussion that Richard contributed below.
A thread by John Hearn