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/
A "hybrid" course at #CHI2022 in which the instructor and all registered (paying) attendees were remote. Someone was guarding the door to make sure nobody snuck in to watch the Zoom session being projected to the completely empty room.
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?
Should online communities require accounts? My paper with @aaronshaw tries to answer this question. We started this project YEARS ago but its finally out in print in Communication Research! We've put together a very short video summarizing the work!
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!
Research collective studying online communities, digital public goods, and peer production. https://communitydata.science/