Much research lately studies current communities of X (say, Wikipedians),
as something like a finite-game within the relatively stable and
self-limiting framework set up by X once it became an institution (say, the
post-2007 framework of WP and sibling projects).
I haven't seen as much research into the infinite-game aspect: the
generation and seeding of projects with self-governing wiki nature
<https://de.wikipedia.org/wiki/Wiki-Prinzip>. Offline examples might
include large-scale short-notice events, incl. some festivals, disaster
relief, mass migration + rebuilding.
Scaling often involves building tools, but seeing the community and its
work tools through the lens of whatever tools persist, in communities that
survive long enough to be studied, can have two levels of survivorship bias
built in. There may be a lot of subcommunities, mindsets, and tools that
are essential to pulling off a broad collaboration, but are just a phase.
One framework is to ground observations of a surviving group by
studying the many similar efforts that fail
<https://mako.cc/academic/hill-almost_wikipedia-DRAFT.pdf>.
I wonder if there are good examples of Stu's approach or others applied to
the genesis of such communities. Or communities that explicitly try to seed
and propagate new projects like them, which are then studied from the
start.
//S
On Thu, Feb 3, 2022 at 11:28 AM Andrew Green <agreen(a)wikimedia.org> wrote:
Hi all,
I hope this is the right place to ask this question!
I was wondering if folks who are doing (or are interested in) research
about Wikipedia might like to share texts that they feel best describe
the general research frameworks they use (or might like to use).
I'd love to hear about any texts you like, regardless of format
(textbook, paper, general reference, blog post, etc.).
It seems a lot of work about Wikipedia uses approaches from
Computational Social Science. The main references I have for that are
[1] and [2].
I'm especially interested in links between Computational Social Science
and frameworks from more traditional social sciences and cognitive science.
Many thanks in advance!!!!! :) Cheers,
Andrew
[1] Cioffi-Revilla, C. (2017) /Introduction to Computational Social
Science. Principles and Applications. Second Edition./ Cham,
Switzerland: Springer.
[2] Melnik, R. (ed.) (2015)/Mathematical and Computational Modeling.
With Applications in Natural and Social Sciences, Engineering, and the
Arts/. Hoboken, U.S.A.: Wiley.
--
Andrew Green (he/him)
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