Hi Jérôme,

Have you looked at python-mwreverts
<https://github.com/mediawiki-utilities/python-mwreverts>? This library has
been used by many researchers who are studying reverted edits, and it may
be useful for your work as well.

All the best,

--Nathan

On Fri, Apr 14, 2023 at 11:15 AM <[email protected]> wrote:

> Sending this again from my current address. Left Gmail a long time ago --
> not sure the redirect still works... My apologies if this is hitting your
> inbox twice!
>
>
>
> _ _ _ _
>
>
>
> Dear Wikimedia research community,
>
>
>
> I'd have a question for the data savvy people on this list :)
>
>
>
> My goal is simple: for a sample of English Wikipedia editors, I'm trying
> to identify their edits which were reverted. I can see two possible way of
> doing this:
>
>
>
> 1. Identify the reverts using the SHA1 values. (A revert happens when the
> edit exactly restores the page to its previous state.)
>
>
>
> 2. Identify the reverts using the "undo" button.
>
>
>
> As I see it, solution 2 is less "precise" (you'll miss some reverts, e.g.,
> those performed manually). However, it would also be less computationally
> intensive, and I don't see that it would introduce any bias (results can be
> compared across editors in a statistical model).
>
>
>
> However, I do not see the information about whether a revision was
> reverted using the “undo” button in the enwiki database:
> https://www.mediawiki.org/w/index.php?title=Manual:Database_layout/diagram&action=render
>
>
>
> I find this surprising. Am I missing something? (And if so, how do you
> personally feel about strategy 1 vs. strategy 2?)
>
>
>
> Thank you so much for any insight you might be willing to provide! :D
>
>
>
> Sincerely,
>
> Jérôme
>
>
> _______________________________________________
> Wiki-research-l mailing list -- [email protected]
> To unsubscribe send an email to [email protected]
>


-- 
J. Nathan Matias <http://natematias.com/> : Center for Advanced Study in
the Behavioral Sciences : Cornell University : Citizens and Technology Lab
<https://citizensandtech.org>  : social.coop/@natematias : blog
<https://natematias.com/external-posts/> : daylight time photos
<https://social.coop/@natematias/109423664679446879>
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