Hi all,
Great thread! CAT Lab takes a collaborative approach to full-cycle research
that we call citizen behavioral science. We describe it here:
Matias, J. N., & Mou, M. (2018, April). CivilServant: Community-led
experiments in platform governance
<https://natematias.com/media/Community_Led_Experiments-CHI_2018.pdf>.
In *Proceedings
of the 2018 CHI conference on human factors in computing systems* (pp.
1-13).
Mortensen, C. R., & Cialdini, R. B. (2010). Full‐cycle social psychology
for theory and application
<https://onlinelibrary.wiley.com/doi/full/10.1111/j.1751-9004.2009.00239.x?casa_token=l8rsm5lpC0oAAAAA%3AufzQ9CAdDx5v5qGwMrema8F5LI87VLGepu-GCxjompZDZwI2VOfLxz7AdFxhhub5qABbPIhwFh0yE4c>.
*Social and Personality Psychology Compass*, *4*(1), 53-63.
--Nathan
On Fri, Feb 4, 2022 at 1:00 PM Jonathan Morgan <jonnymorgan.esq(a)gmail.com>
wrote:
+1 for Stu Geiger's approach. I also like to take
an ethnographic approach
to understanding Wikipedia as a project/workspace/community. I used to
conduct a *lot* of interviews with Wikipedia community members, and the
best reference I've found for how to do ethnographic interviewing well is
James Spradley's appropriately-named classic methods manual
<https://www.waveland.com/browse.php?t=688>. If you're curious whether
this
is the right approach for you, you can find sample chapters of that work in
various places on the web, like here (PDF
<http://faculty.washington.edu/stevehar/Spradley.pdf>).
Jonathan
On Fri, Feb 4, 2022 at 9:20 AM Isaac Johnson <isaac(a)wikimedia.org> wrote:
I'd like to also call out the trace
ethnography approach that R. Stuart
Geiger and others have used to great effect in studying Wikipedia --
e.g.,
see
https://stuartgeiger.com/trace-ethnography-hicss-geiger-ribes.pdf
On Fri, Feb 4, 2022 at 3:47 AM Pablo Aragón <paragon(a)wikimedia.org>
wrote:
> Hi Andrew,
> Thanks for sharing this question and the two references. In the field
of
> Computational Social Science, [1-3] are key
references to me, I hope
they
inspire
you too.
Best,
[1] Salganik, M. J. (2019). Bit by bit: Social research in the digital
age.
Princeton University Press.
https://www.bitbybitbook.com
[2] González-Bailón, S. (2017). Decoding the social world: Data science
and
the unintended consequences of communication. MIT
Press.
https://mitpress.mit.edu/books/decoding-social-world
[3] Lazer, D. M., Pentland, A., Watts, D. J., Aral, S., Athey, S.,
Contractor, N., ... & Wagner, C. (2020). Computational social science:
Obstacles and opportunities. Science, 369(6507), 1060-1062.
On Thu, Feb 3, 2022 at 5:28 PM 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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Isaac Johnson (he/him/his) -- Research Scientist -- Wikimedia Foundation
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--
J. Nathan Matias <http://natematias.com/> : Cornell University : Citizens
and Technology Lab <https://citizensandtech.org> : @natematias
<http://twitter.com/natematias> : blog
<https://natematias.com/external-posts/> : daylight time photos
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