William Aspray and James Cortada just published their book, "From Urban Legends to Political Fact-Checking" (Springer).
笔丑顿听蝉迟耻诲别苍迟蝉 Anthony Pinter, Aaron Jiang, Katie Gach, and Jim Dykes, along with Melanie Sidwell (Media Studies) and Prof. Jed Brubaker had a paper titled "'Am I Never Going to Be Free of All This Crap?' Upsetting Encounters With Algorithmically Curated Content About Ex-Partners" accepted to CSCW 2019. The paper will be presented in November in Austin, TX.
Wendy Norris (笔丑顿听蝉迟耻诲别苍迟), Prof. Amy Voida, Prof. Leysia Palen, and Prof. Steve Voida had a paper titled 鈥溾�業s the Time Right Now?:鈥� Reconciling Sociotemporal Disorder in Distributed Team Work鈥� accepted to CSCW 2019. The paper will be presented in November in Austin, TX.听听
Harshini Muthukrishnan (MS听Student now at VMWare) and Prof. Danielle Albers Szafir had a paper titled "Using Machine Learning and Visualization for Qualitative Inductive Analyses of Big Data" accepted to the Machine Learning from User Interfaces (MLUI) workshop at IEEE VIS 2019. The paper will be presented in Vancouver, B.C. in October.听
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笔丑顿听蝉迟耻诲别苍迟蝉 Anthony Pinter and Morgan Klaus Scheuerman, along with Prof. Jed Brubaker, had a position paper titled, "Designing and Carrying Out Conscientious Research With Marginalized Groups" accepted to the CSCW 2019 Workshop on Social Technologies for Digital Wellbeing Among Marginalized Communities. The workshop will take place in November in Austin, TX.
Keke Wu (PhD听student, ATLAS), Prof. Shea Tanis (Coleman Institute), and Prof. Danielle Albers Szafir had their paper titled accepted to the VisComm workshop at IEEE VIS 2019. The paper will be presented in Vancouver, B.C. in October.
Xiaolei Huang (PhD听student) had a paper accepted at the EMNLP'19, co-authored wtih collaborators from the University of Southern California, titled "What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis". The paper will be presented at Hong Hong, China in November.
Himan Abdollahpouri (PhD student) and Prof. Robin Burke and co-authors from Eindhoven University of Technology, Netherlands and DePaul University, USA, have a paper titled "The Unfairness of Popularity Bias in Recommendation" and "Multi-stakeholder recommendation and its connection to multi-sided fairness" to be presented at the workshop on the recommendation in multi-stakeholder environments co-located with the 13th ACM conference on recommender systems in Copenhagen, Denmark.
Aaron Jiang (笔丑顿听蝉迟耻诲别苍迟), Charles Kiene (University of Washington), Skyler Middler (INFO undergraduate), Prof. Jed Brubaker, and Prof. Casey Fiesler had a paper titled "Moderation Challenges in Voice-based Online Communities on Discord" accepted to CSCW 2019. The paper will be presented in November in Austin, TX.
Aaron Jiang (笔丑顿听蝉迟耻诲别苍迟), Charles Kiene (University of Washington), and Prof. Benjamin Mako Hill (University of Washington) had a paper titled "Technological Frames and User Innovation: Evidence from Online Community Moderation Teams" accepted to CSCW 2019. The paper will be presented in November in Austin, TX.
Janet Ruppert (PhD student) had a paper titled "A Playful Approach to A Difficult Topic: Using Board Games to Engage Families with Digital Privacy" accepted to BEA On-Location. The paper will be presented at BEA On-Location in October at 彩民宝典.
Aaron Jiang (笔丑顿听蝉迟耻诲别苍迟), Charles Kiene (University of Washington), and Prof. Benjamin Mako Hill (University of Washington) had a paper titled "Technological Frames and User Innovation: Evidence from Online Community Moderation Teams" accepted to CSCW 2019. The paper will be presented in November in Austin, TX.
Brianna Dym (笔丑顿听蝉迟耻诲别苍迟), Prof. Jed Brubaker, Prof. Casey Fiesler, and Prof. Bryan Semaan (Syracuse University) had a paper entitled "Coming Out Okay: Community Narratives for LGBTQ Identity Recovery Work" accepted to CSCW 2019. The paper will be presented in November in Austin, TX.
Prof. Michael Paul, with former CS Master's student Linzi Xing, had a paper accepted to the Empirical Methods in Natural Language Processing conference (EMNLP) titled, "Evaluating Topic Quality with Posterior Variability".