reminds me of something I once wrote up about tracking "gratitude flows" and the reflexive consequences of that on an open community

http://dlab.berkeley.edu/blog/reflexive-data-science-overview

On Wed, Aug 31, 2016 at 4:44 PM, Nick Doty <npdoty@ischool.berkeley.edu> wrote:
Opened https://github.com/sbenthall/bigbang/issues/262
—npd

On Aug 31, 2016, at 4:35 PM, Sebastian Benthall <sbenthall@gmail.com> wrote:

I actually love this damn good idea, Nick. Great find. Let's do something like this in version 0.3

On Wed, Aug 31, 2016 at 3:16 PM, Nick Doty <npdoty@ischool.berkeley.edu> wrote:
I love this paper on communication styles in the Linux kernel:
http://www.opensym.org/os2016/proceedings-files/p101-schneider.pdf

Training a classifier to distinguish two particular authors, leaders in the Linux development community, based on lexical choices. Use of "sorry", "thanks", "actually", "never" and expletives are most discriminating.

It makes me wonder whether this would also be an interesting characteristic of one mailing list compared to another, in addition to distinguish individual authors. "Where does your open source community fall on the Actually-Thanks Spectrum (TM)?"

I'd love to see this as part of BigBang, particularly if that kind of lexical analysis or Bayes classification would be useful for lots of research questions.

Thanks,
Nick

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