Community Data Science Collective📈 retweeted
My research group (@comdatasci) is hosting a free/public event this Friday 9/18 with our own Dyuti Jha and (the!) Joe Walther (@joewalther) on how online communities can support the emergence of online hate: blog.communitydata.science/c…
Community Data Science Collective📈 retweeted
There's a little more than a day to submit to our @ACM_CSCW workshop on free/open source and AI. (new deadline is 8/15). Hope to see some of you there!
ICYMI: I'm co-organizing a workshop at @ACM_CSCW in Salt Lake City on October 8 about AI impact on free software/open source. wiki.communitydata.science/O…
Community Data Science Collective📈 retweeted
Finally blogged about two papers led by @KayleaChampion that show how taboo shapes the production of knowledge on @Wikipedia. mako.cc/copyrighteous/how-ta…
It was the "not safe for work" work meeting for a couple of years. I miss it dearly.
Community Data Science Collective📈 retweeted
Finally blogged about my paper (led by @zkharazian) that seeks to explain why Croatian Wikipedia spent a decade captured by a cabal of political extremists and became a site for Holocaust revisionism, while similar Wikipedia languages fared much better. mako.cc/copyrighteous/what-m…
Community Data Science Collective📈 retweeted
ICYMI: Finally blogged about an old paper (led by @groceryheist) that explains why people often engage in multiple groups with overlapping topic and membership, and which helps explain why competition between online groups seems to be rare. mako.cc/copyrighteous/why-do…
Community Data Science Collective📈 retweeted
Portrait of @comdatasci's @makoshark, describing his research on "The Challenge of Peer-Produced Websites" such as Wikipedia artsci.washington.edu/news/2…
Community Data Science Collective📈 retweeted
My research group (@comdatasci) is organizing a "Science of Community" track again at FOSSY (2024.fossy.us/) in Portland, OR (August 1-4) for #freesoftware and #opensource researchers and practitioners to connect! Please consider submitting! blog.communitydata.science/f…
Community Data Science Collective📈 retweeted
3️⃣@sohwng (@comdatasci @northwesternu) will present on her work on Variation and overlap in the peer production of community rules: the case of five Wikipedias ojs.aaai.org/index.php/ICWSM…
Community Data Science Collective📈 retweeted
There's a whole world of learnings from scholarship and academic research on @Wikipedia and other Wikimedia projects. Benjamin Mako Hill (@makoshark), professor and researcher at the University of Washington and active Wikimedian, discusses some of them at #Wikimania2023
Community Data Science Collective📈 retweeted
I am grateful that I got to meet the amazing members of the @comdatasci!
Thank you for the warm welcome, the helpful feedback and great discussions.
Community Data Science Collective📈 retweeted
The end of #ICA23 also marked the end of my stay in Northern America which started with #MPSA23 in Chicago. Betweem the two conferences I got to visit the amazing @comdatasci lab at Northwestern University in Chicago.
Community Data Science Collective📈 retweeted
Really looking forward to chairing a fantastic panel this noot at @ica_cm, 12pm M Maple East - featuring this year's Computational Methods Division Best Paper by @groceryheist, and more exciting presentations from @KasperWelbers, @MarkBoukes, Huacen Xu, and myself. Come join!
Our own @groceryheist has won the @ica_cm best paper award at #ICA2023 (for the third year in a row!). This year it was for his work characterizing and correcting bias in machine learning used for measurement in social science studies. Congratulations!
Community Data Science Collective📈 retweeted
Here is a blog listing all of the things my awesome lab @comdatasci is doing + presenting at #ICA23! blog.communitydata.science/c…
Community Data Science Collective📈 retweeted
The vast majority of attempts to build communities (open source, wikis, subreddits, etc.) don't really go anywhere. Most get only a few contributions from a few contributors. Why do so many fail?
🧵 about our new paper - doi.org/10.1093/jcmc/zmad002 - with @aaronshaw and @makoshark
Community Data Science Collective📈 retweeted
Introducing the newest #jcmc publication "Communication networks do not predict success in attempts at peer production" by @jdfoote, @aaronshaw, and @makoshark! Read it here: doi.org/10.1093/jcmc/zmad002
Community Data Science Collective📈 retweeted
Happy to announce that today I am starting a postdoc @umsi to work with @cerenbudak. Grateful to be here.🥳
Community Data Science Collective📈 retweeted
I have 2 papers at #cscw2022! Join my 1st talk on social relationships in online feedback exchange on Nov 10 & 16, and 2nd talk on multiple learning pathways in online community on Nov 11 & 16! Blogposts about these papers will be up soon 💫
Join the CDSC at CSCW 2022! blog.communitydata.science/j…
Community Data Science Collective📈 retweeted
Why do people participate in overlapping online communities?
My @ACM_CSCW paper presented today in the "Online Communities and Inclusivity" session explores this question through an interviews with Reddit users who contribute to several online communities with related topics.
Community Data Science Collective📈 retweeted
“Why did Wikipedia, superficially similar and a relatively late entrant, attract a community of millions and build the largest and most comprehensive compendium of human knowledge in history?” @makoshark
mako.cc/academic/hill-almost… – at Palo Alto, CA
Community Data Science Collective📈 retweeted
If you're interested in doing a PhD studying online communities with my research collective @comdatasci—either with me at @UW or with/at one other people/institutions involved—check out blog post and come to an open Q&A session we're running a week from today.
Are you thinking about a Ph.D. studying online communities, peer production, and learning and collaboration in social computing systems using social science methods? Join us to talk about opportunities at the CDSC on October 20 blog.communitydata.science/j…




















