+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 <is...@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 <para...@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 <agr...@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) > > > _______________________________________________ > > > Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org > > > To unsubscribe send an email to > > wiki-research-l-le...@lists.wikimedia.org > > > > > _______________________________________________ > > Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org > > To unsubscribe send an email to > wiki-research-l-le...@lists.wikimedia.org > > > > > -- > Isaac Johnson (he/him/his) -- Research Scientist -- Wikimedia Foundation > _______________________________________________ > Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org > To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org > _______________________________________________ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
