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Algorithmic systems---from rule-based bots to machine learning classifiers---have a long history of supporting the essential work of content moderation and other curation work in peer production projects.
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Issues of cross-contextual information quality evaluation - The case of Arabic, English, and Korean Wikipedias
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STiki: an anti-vandalism tool for Wikipedia using spatio-temporal analysis of revision metadata. In Proceedings of the 6th International Symposium on Wikis and Open Collaboration . ACM, 32
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Identifying semantic edit intentions from revisions in wikipedia. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . 2000–2010
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Wikipedia vandalism detection: Combining natural language, metadata, and reputation features. In International Conference on Intelligent Text Processing and Computational Linguistics . Springer, 277–288
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The lives of bots
R Stuart Geiger. 2011 · 2011
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Trace ethnography: Following coordination through documentary practices. In Proceedings of the 2011 Hawaii International Conference on System Sciences . IEEE, 1–10
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Bots and cyborgs: Wikipedia’s immune system
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Governing algorithms: A provocation piece
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When the levee breaks: without bots, what happens to Wikipedia’s quality control processes?. In Proceedings of the 9th International Symposium on Open Collaboration . ACM, 6
R Stuart Geiger and Aaron Halfaker. 2013 · 2013
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Raw data is an oxymoron
Lisa Gitelman. 2013 · 2013
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The rise and decline of an open collaboration system: How Wikipedia’s reaction to popularity is causing its decline
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Work-to-rule: The Emergence of Algorithmic Governance in Wikipedia. In Proceedings of the 6th International Conference on Communities and Technologies (C&T ’13) . ACM, New York, NY, USA, 80–89
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Adrienne Massanari. 2017 · 2017
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Building automated vandalism detection tools for Wikidata. In Proceedings of the 26th International Conference on World Wide Web Companion . International World Wide Web Conferences Steering Committee, 1647–1654
Amir Sarabadani, Aaron Halfaker, and Dario Taraborelli. 2017 · 2017
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Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. In Proceedings of the 26th International Conference on World Wide Web (2017-04-03) (WWW ’17) . International World Wide Web Conferences Steering Committee, 1171–1180
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Claudia Muller-Birn, Leonhard Dobusch, and James D. Herbsleb. 2013 · 2013
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Understanding Quantified-Selfers’ Practices in Collecting and Exploring Personal Data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14) . Association for Computing Machinery, New York, NY, USA, 1143–1152
Eun Kyoung Choe, Nicole B. Lee, Bongshin Lee, Wanda Pratt, and Julie A. Kientz. 2014 · 2014
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Bots, bespoke, code and the materiality of software platforms
R Stuart Geiger. 2014 · 2014
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The relevance of algorithms
Tarleton Gillespie. 2014 · 2014
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Snuggle: Designing for efficient socialization and ideological critique. In Proceedings of the SIGCHI conference on human factors in computing systems . ACM, 311–320
Aaron Halfaker, R Stuart Geiger, and Loren G Terveen. 2014 · 2014
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Media Viewer controversy spreads to German Wikipedia
Neotarf. 2014 · 2014
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The kernel of a research infrastructure. In Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing . 574–587
David Ribes. 2014 · 2014
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Auditing algorithms: Research methods for detecting discrimination on internet platforms
Christian Sandvig, Kevin Hamilton, Karrie Karahalios, and Cedric Langbort. 2014 · 2014
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Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P. Gummadi. [n. d.] · 2017
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Auditing black-box models for indirect influence
Philip Adler, Casey Falk, Sorelle A. Friedler, Tionney Nix, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, and Suresh Venkatasubramanian. 2018 · 2018
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Towards algorithmic experience: Initial efforts for social media contexts. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems . ACM, 286
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Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency (Proceedings of Machine Learning Research) , Sorelle A. Friedler and Christo Wilson (Eds.), Vol. 81. PMLR, New York, NY, USA, 77–91
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Predictive Algorithms and Criminal Sentencing
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