Community Data Science @communitydata@social.coop

It took us way too long but the Community Data Science Collective finally has a home in the Fediverse! Hello!

We're a research collective (made up mostly of academic types) that studies peer production, new forms of organizing, cooperation, and online communities. We study a range of communities... including the Fediverse!

Lots more online: https://communitydata.science/

CDSC member @sohwng joined a bonfire chat on content moderation on Discord with @darc_mode. Video online: https://www.youtube.com/watch?v=Yxaz1qBl6Us

Online communities are deeply interconnected and interdependent.

@jdfoote argues that systems theory can help us to study interdependencies, and that online platforms have the sort of data that is enabling really exciting new research. https://blog.communitydata.science/a-systems-approach-to-studying-online-communities/

We are coming to Paris for #ICA22 next week! Check out this blog post to get stickers and see presentations by @groceryheist @carlcolglazier @FloorFiers @jdfoote @kayleachampion @makoshark and @aaronshaw! @icahdq https://blog.communitydata.science/community-data-science-collective-at-ica-2022/

Come meet us at CHI 2022 https://blog.communitydata.science/come-meet-us-at-chi-2022/

The work was led by @sejal_khatri and the team included @sayamindu, @aaronshaw, and @makoshark. Lots of help and thanks to the @Wikipedia contributors who generously shared their time and advice!

This new #CHI2022 paper explains why one Wikipedia language edition engaged contributors more effectively than two others from neighboring states in India. The answer: Broader social and cultural context matters for online communities! https://blog.communitydata.science/how-social-context-explains-why-some-online-communities-engage-contributors-better-than-others/

How does Interest-driven Participation Shape Computational Learning in Online Communities? https://blog.communitydata.science/how-does-interest-driven-participation-shape-computational-learning-in-online-communities/

In February we ran our first Community Dialogue event! Read about how it went and how you can get involved in the future: https://blog.communitydata.science/notes-from-the-cdsc-community-dialogue-series/

Amazing guest lectures at @UWComm's online communities class this week! @kayleachampion presented several of her papers on anonymity seeking in peer production and @sohwng talked about why people participate in small communities. Class syllabus here: https://wiki.communitydata.science/Online_Communities_(UW_COM481_Winter_2022)

CDSC members did some pretty great things this year and you can read about them: https://blog.communitydata.science/conferences-publications-and-congratulations/

Fool's gold? The perils of using online survey samples to study online behavior. (Why survey samples from AMT might not be a representative of broader populations). https://blog.communitydata.science/perils-of-online-survey-samples-studying-online-behavior/

I know were already planing to do something similar with http://citizensandtech.org and @natematias. The format we used (big introductions and then some speed-dating breakouts) is pretty nice! Let's set that up!

This two-lab mixer format is incredibly fun! Any other labs or research groups want to connect?

A bunch of folks from the collective had a wonderful time meeting with folks from @haystack_csail as part of the lab speed dating social event that was part of the social program for @ACM_CSCW! Thanks to @sohwng for helping make it happen!

If you missed the Community Data Science prospective PhD student Q&A, we've put a video and blog post of the event online. https://www.youtube.com/watch?v=IHOl44j51p0 https://blog.communitydata.science/catching-up-on-the-collectives-2021-phd-qa/

Good morning! In a little over 3 hours we'll be answering questions for prospective graduate students. It's not too late to register! https://forms.gle/qc573vXQyAPdRw8p8

Tons of thanks to @NSF who funded the work and @CASBSStanford who supported both authors on working on it. And mostly thanks to Danny Horn (formerly at @fandom, now at @Wikimedia) who planted the seed/idea and did invaluable work to share key pieces of data.

The paper has been a long time coming and you may have been seen it presented at various places or in earlier versions online or with the journal. @WikiResearch and @tilmanbayer did a write-up a couple months ago. https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2021-08-29/Recent_research It's a nice summary!