Community Data Science Collective📈 (@comdatasci) header
Community Data Science Collective📈 (@comdatasci) profile picture

Research into online communities, digital public goods, and peer production. In the Fediverse at https://xitter.cf/t.co/rGtgxPvbWg

Joined December 2014
Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)Photo by Community Data Science Collective📈 (@comdatasci)
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…
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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…
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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.
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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…
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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…
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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…
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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…
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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
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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.
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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.
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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!
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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
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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
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Community Data Science Collective📈 retweeted
Happy to announce that today I am starting a postdoc @umsi to work with @cerenbudak. Grateful to be here.🥳
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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 💫
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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.
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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
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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.
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