[Bigbang-dev] adding to our IETF ml analysis research questions list

[Nick Doty]

> On Mar 17, 2018, at 1:43 PM, Corinne Cath <corinnecath at gmail.com> wrote:
> 
> In terms of overarching questions, I would be interested in learning more about how issues like sexism, racism, ableism play out on the mailinglists, as I heard a lot about that from my interviews. Its hard, but not impossible to do sentiment analysis for those kinds of conversation. I have reached out to a friend who does that for reddit forums to see if her code is on git.

I would certainly be interested in this if it's something that we can implement with some reasonable measure.

One cute idea I had in mind was calculating the differences in the use of "thanks" and "actually" in the email messages, as there was a paper that defined that as a distinguishing metric between certain prominent Linux developers, and it seemed like a nice heuristic for welcoming vs. antagonistic messaging.

If there are more significant or useful sentiment analysis tools that we can evaluate, I think that would be useful. It would be a nice input to the gender estimation work, to see if different behaviors on the mailing list are correlated. It might also help us identify which groups are involved in controversy, flaming, dysfunction, etc.

Corinne, if you hear back from your contact, or if others have any suggestions on sentiment analysis we can easily integrate, let us know.

Cheers,
Nick
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.ghserv.net/pipermail/bigbang-dev/attachments/20180317/fa23555e/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: signature.asc
Type: application/pgp-signature
Size: 488 bytes
Desc: Message signed with OpenPGP
URL: <http://lists.ghserv.net/pipermail/bigbang-dev/attachments/20180317/fa23555e/attachment.sig>