From: Benjamin Mako Hill Date: Wed, 19 May 2021 09:16:22 +0000 (-0700) Subject: remove duplicate and X-Git-Url: https://projects.mako.cc/source/bmh-cv/commitdiff_plain/5a126e0bbf5b544e9f9f9833197da8c933e11d31?ds=sidebyside remove duplicate and --- diff --git a/bmh-cv.tex b/bmh-cv.tex index f1ea81f..bd15c37 100644 --- a/bmh-cv.tex +++ b/bmh-cv.tex @@ -174,7 +174,7 @@ \subsection{Articles in Journals and Conference Proceedings} \begin{cvlist} \item TeBlunthuis, Nathan, Benjamin Mako Hill, and Aaron Halfaker. 2021. “Effects of Algorithmic Flagging on Fairness: Quasi-Experimental Evidence from Wikipedia.” \textit{Proceedings of the ACM on Human-Computer Interaction} 5 (CSCW): 56:1-56:27. \url{https://doi.org/10.1145/3449130}. -\item Champion, Kaylea, and and Benjamin Mako Hill. 2021. “Underproduction: An Approach for Measuring Risk in Open Source Software.” In \textit{Proceedings of the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021)}. IEEE Press. +\item Champion, Kaylea, and Benjamin Mako Hill. 2021. “Underproduction: An Approach for Measuring Risk in Open Source Software.” In \textit{Proceedings of the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021)}. IEEE Press. \item Hill, Benjamin Mako, and Aaron Shaw. 2020. “The Hidden Costs of Requiring Accounts: Quasi-Experimental Evidence from Peer Production.” \textit{Communication Research}, May, 0093650220910345. \url{https://doi.org/10.1177/0093650220910345}. \item Shorey, Samantha, Benjamin Mako Hill, and Samuel Woolley. 2020. “From Hanging out to Figuring It out: Socializing Online as a Pathway to Computational Thinking.” \textit{New Media \& Society}, May, 1461444820923674. \url{https://doi.org/10.1177/1461444820923674}. \item Tran, Chau, Kaylea Champion, Andrea Forte, Benjamin Mako Hill, and Rachel Greenstadt. 2020. “Are Anonymity-Seekers Just like Everybody Else? An Analysis of Contributions to Wikipedia from Tor.” In \textit{2020 IEEE Symposium on Security and Privacy (SP)}, 1:974–90. San Francisco, California: IEEE Computer Society. \url{https://doi.org/10.1109/SP40000.2020.00053}.