Fetching the paper…
Reading the bibliography…
AI tools are increasingly deployed in community contexts.
Procedural justice: A psychological analysis
John W Thibaut and Laurens Walker. 1975 · 1975
Earlier work this paper cites.
What should be done with equity theory? New approaches to the study of fairness in social relationships
Gerald S Leventhal. 1980 · 1980
Earlier work this paper cites.
Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia. In Proceedings of the 2005 ACM International Conference on Supporting Group Work . 1–10
Susan L Bryant, Andrea Forte, and Amy Bruckman. 2005 · 2005
Earlier work this paper cites.
Community histories, community archives: Some opportunities and challenges
Andrew Flinn. 2007 · 2007
Earlier work this paper cites.
Variability for categorical variables
Gary D Kader and Mike Perry. 2007 · 2007
Earlier work this paper cites.
He says, she says: conflict and coordination in Wikipedia. In Proceedings of the SIGCHI conference on Human factors in computing systems . 453–462
Aniket Kittur, Bongwon Suh, Bryan A Pendleton, and Ed H Chi. 2007 · 2007
Earlier work this paper cites.
Wikipedian self-governance in action: Motivating the policy lens. In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 2. 27–35
Ivan Beschastnikh, Travis Kriplean, and David McDonald. 2008 · 2008
Earlier work this paper cites.
Visualizing data using t-SNE
Laurens Van der Maaten and Geoffrey Hinton. 2008 · 2008
Earlier work this paper cites.
Decentralization in Wikipedia governance
Andrea Forte, Vanesa Larco, and Amy Bruckman. 2009 · 2009
Earlier work this paper cites.
The work of sustaining order in Wikipedia: The banning of a vandal. In Proceedings of the 2010 ACM conference on Computer supported cooperative work . 117–126
R Stuart Geiger and David Ribes. 2010 · 2010
Earlier work this paper cites.
LIBSVM: a library for support vector machines
Chih-Chung Chang and Chih-Jen Lin. 2011 · 2011
Earlier work this paper cites.
Don’t bite the newbies: how reverts affect the quantity and quality of Wikipedia work. In Proceedings of the 7th international symposium on wikis and open collaboration . 163–172
Aaron Halfaker, Aniket Kittur, and John Riedl. 2011 · 2011
Earlier work this paper cites.
Design lessons from the fastest q&a site in the west. In Proceedings of the SIGCHI conference on Human factors in computing systems . 2857–2866
Lena Mamykina, Bella Manoim, Manas Mittal, George Hripcsak, and Björn Hartmann. 2011 · 2011
Earlier work this paper cites.
Thematic analysis
Virginia Braun and Victoria Clarke. 2012 · 2012
Earlier work this paper cites.
When the levee breaks: without bots, what happens to Wikipedia’s quality control processes?. In Proceedings of the 9th International Symposium on Open Collaboration . 1–6
R Stuart Geiger and Aaron Halfaker. 2013 · 2013
Earlier work this paper cites.
Widespread underprovision on reddit. In Proceedings of the 2013 conference on Computer supported cooperative work . 803–808
Eric Gilbert. 2013 · 2013
Earlier work this paper cites.
The rise and decline of an open collaboration system: How Wikipedia’s reaction to popularity is causing its decline
Aaron Halfaker, R Stuart Geiger, Jonathan T Morgan, and John Riedl. 2013 · 2013
Earlier work this paper cites.
Turkopticon: Interrupting worker invisibility in amazon mechanical turk. In Proceedings of the SIGCHI conference on human factors in computing systems . 611–620
Lilly C Irani and M Six Silberman. 2013 · 2013
Earlier work this paper cites.
Work-to-rule: the emergence of algorithmic governance in Wikipedia. In Proceedings of the 6th International Conference on Communities and Technologies . 80–89
Claudia Müller-Birn, Leonhard Dobusch, and James D Herbsleb. 2013 · 2013
Earlier work this paper cites.
Beat the machine: Challenging humans to find a predictive model’s “unknown unknowns”
Joshua Attenberg, Panos Ipeirotis, and Foster Provost. 2015 · 2015
Earlier work this paper cites.
Participatory culture, community, and play
Adrienne Lynne Massanari. 2015 · 2015
Earlier work this paper cites.
Toxic Comment Classification Challenge
cjadams, Jeffrey Sorensen, Julia Elliott, Lucas Dixon, Mark McDonald, nithum, and Will Cukierski. 2017 · 2017
Earlier work this paper cites.
“Be careful; things can be worse than they appear”: Understanding Biased Algorithms and Users’ Behavior around Them in Rating Platforms. In Proceedings of the international AAAI conference on web and social media , Vol. 11. 62–71
Motahhare Eslami, Kristen Vaccaro, Karrie Karahalios, and Kevin Hamilton. 2017 · 2017
Earlier work this paper cites.
Operationalizing conflict and cooperation between automated software agents in wikipedia: A replication and expansion of’even good bots fight’
R Stuart Geiger and Aaron Halfaker. 2017 · 2017
Earlier work this paper cites.
The Internet’s hidden rules: An empirical study of Reddit norm violations at micro, meso, and macro scales
Eshwar Chandrasekharan, Mattia Samory, Shagun Jhaver, Hunter Charvat, Amy Bruckman, Cliff Lampe, Jacob Eisenstein, and Eric Gilbert. 2018 · 2018
Earlier work this paper cites.
Reddit rules! characterizing an ecosystem of governance. In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 12
Casey Fiesler, Jialun Jiang, Joshua McCann, Kyle Frye, and Jed Brubaker. 2018 · 2018
Earlier work this paper cites.
" We Don’t Do That Here" How Collaborative Editing with Mentors Improves Engagement in Social Q&A Communities. In Proceedings of the 2018 CHI conference on human factors in computing systems . 1–12
Denae Ford, Kristina Lustig, Jeremy Banks, and Chris Parnin. 2018 · 2018
Earlier work this paper cites.
Algorithms of oppression
Safiya Umoja Noble. 2018 · 2018
Earlier work this paper cites.
Making sense of group chat through collaborative tagging and summarization
Amy X Zhang and Justin Cranshaw. 2018 · 2018
Earlier work this paper cites.
Nuanced metrics for measuring unintended bias with real data for text classification. In Companion proceedings of the 2019 world wide web conference . 491–500
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2019 · 2019
Earlier work this paper cites.
Reflecting on reflexive thematic analysis
Virginia Braun and Victoria Clarke. 2019 · 2019
Earlier work this paper cites.
Slice-based learning: A programming model for residual learning in critical data slices
Vincent Chen, Sen Wu, Alexander J Ratner, Jen Weng, and Christopher Ré. 2019 · 2019
Earlier work this paper cites.
Build it break it fix it for dialogue safety: Robustness from adversarial human attack
Emily Dinan, Samuel Humeau, Bharath Chintagunta, and Jason Weston. 2019 · 2019
Earlier work this paper cites.
User attitudes towards algorithmic opacity and transparency in online reviewing platforms. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . 1–14
Motahhare Eslami, Kristen Vaccaro, Min Kyung Lee, Amit Elazari Bar On, Eric Gilbert, and Karrie Karahalios. 2019 · 2019
Cited alongside, same era.
Ways of knowing when research subjects care. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . 1–16
Dorothy Howard and Lilly Irani. 2019 · 2019
Cited alongside, same era.
" Did you suspect the post would be removed?" Understanding user reactions to content removals on Reddit
Shagun Jhaver, Darren Scott Appling, Eric Gilbert, and Amy Bruckman. 2019a · 2019
Cited alongside, same era.
Human-machine collaboration for content regulation: The case of reddit automoderator
Shagun Jhaver, Iris Birman, Eric Gilbert, and Amy Bruckman. 2019b · 2019
Cited alongside, same era.
Procedural justice in algorithmic fairness: Leveraging transparency and outcome control for fair algorithmic mediation
Wikipedia ORES explorer: Visualizing trade-offs for designing applications with machine learning API. In Designing Interactive Systems Conference 2021 . 1554–1565
Zining Ye, Xinran Yuan, Shaurya Gaur, Aaron Halfaker, Jodi Forlizzi, and Haiyi Zhu. 2021 · 2021
Later among the works it cites.
Image cropping on twitter: Fairness metrics, their limitations, and the importance of representation, design, and agency
Kyra Yee, Uthaipon Tantipongpipat, and Shubhanshu Mishra. 2021 · 2021
Later among the works it cites.
Fine-tuning language models to find agreement among humans with diverse preferences
Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, et al · 2022
Later among the works it cites.
Toward User-Driven Algorithm Auditing: Investigating users’ strategies for uncovering harmful algorithmic behavior. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems . 1–19
Alicia DeVos, Aditi Dhabalia, Hong Shen, Kenneth Holstein, and Motahhare Eslami. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Min Kyung Lee, Anuraag Jain, Hea Jin Cha, Shashank Ojha, and Daniel Kusbit. 2019 · 2019
Cited alongside, same era.
How data science workers work with data. In Conference on Human Factors in Computing Systems-Proceedings . 86–94
Michael Muller, Ingrid Lange, Dakuo Wang, David Piorkowski, Jason Tsay, Q Vera Liao, Casey Dugan, and Thomas Erickson. 2019 · 2019
Cited alongside, same era.
Adversarial NLI: A new benchmark for natural language understanding
Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela. 2019 · 2019
Cited alongside, same era.
The risk of racial bias in hate speech detection. In Proceedings of the 57th annual meeting of the association for computational linguistics . 1668–1678
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A Smith. 2019 · 2019
Cited alongside, same era.
Trick me if you can: Human-in-the-loop generation of adversarial examples for question answering
Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, and Jordan Boyd-Graber. 2019 · 2019
Cited alongside, same era.
Beat the AI: Investigating adversarial human annotation for reading comprehension
Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, and Pontus Stenetorp. 2020 · 2020
Cited alongside, same era.
Design justice: Community-led practices to build the worlds we need
Sasha Costanza-Chock. 2020 · 2020
Cited alongside, same era.
Bringing the people back in: Contesting benchmark machine learning datasets
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, and Morgan Klaus Scheuerman. 2020 · 2020
Cited alongside, same era.
Jury learning: Integrating dissenting voices into machine learning models. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems . 1–19
Mitchell L Gordon, Michelle S Lam, Joon Sung Park, Kayur Patel, Jeff Hancock, Tatsunori Hashimoto, and Michael S Bernstein. 2022 · 2022
Later among the works it cites.
Is your toxicity my toxicity? Exploring the impact of rater identity on toxicity annotation
Nitesh Goyal, Ian D Kivlichan, Rachel Rosen, and Lucy Vasserman. 2022 · 2022
Later among the works it cites.
Rules and Rule-Making in the Five Largest Wikipedias. In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 16. 347–357
Sohyeon Hwang and Aaron Shaw. 2022 · 2022
Later among the works it cites.
“Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts. In Designing Interactive Systems Conference . 454–470
Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao-Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, and Kenneth Holstein. 2022 · 2022
Later among the works it cites.
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior
Michelle S Lam, Mitchell L Gordon, Danaë Metaxa, Jeffrey T Hancock, James A Landay, and Michael S Bernstein. 2022 · 2022
Later among the works it cites.
Dataperf: Benchmarks for data-centric ai development
Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, et al · 2022
Later among the works it cites.
Debiased label aggregation for subjective crowdsourcing tasks. In CHI Conference on Human Factors in Computing Systems Extended Abstracts . 1–8
Shaun Wallace, Tianyuan Cai, Brendan Le, and Luis A Leiva. 2022 · 2022
Later among the works it cites.
Measuring Adversarial Datasets
Yuanchen Bai, Raoyi Huang, Vijay Viswanathan, Tzu-Sheng Kuo, and Tongshuang Wu. 2023 · 2023
Later among the works it cites.
Which examples should be multiply annotated? active learning when annotators may disagree. In Findings of the Association for Computational Linguistics: ACL 2023 . 10352–10371
Connor Baumler, Anna Sotnikova, and Hal Daumé III. 2023 · 2023
Later among the works it cites.
Toward a perspectivist turn in ground truthing for predictive computing. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 37. 6860–6868
Federico Cabitza, Andrea Campagner, and Valerio Basile. 2023 · 2023
Later among the works it cites.
Quan Ze Chen and Amy X Zhang. 2023 · 2023
Later among the works it cites.
You Are What You Annotate: Towards Better Models through Annotator Representations
Naihao Deng, Siyang Liu, Xinliang Frederick Zhang, Winston Wu, Lu Wang, and Rada Mihalcea. 2023b · 2023
Later among the works it cites.
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–18
Wesley Hanwen Deng, Boyuan Guo, Alicia Devrio, Hong Shen, Motahhare Eslami, and Kenneth Holstein. 2023a · 2023
Later among the works it cites.
Senjuti Dutta, Sid Mittal, Sherol Chen, Deepak Ramachandran, Ravi Rajakumar, Ian Kivlichan, Sunny Mak, Alena Butryna, and Praveen Paritosh. 2023 · 2023
Later among the works it cites.
How People Initiate and Respond to Discussions Around Online Community Norms: A Preliminary Analysis on Meta Stack Overflow Discussions. In Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing . 221–225
Jingchao Fang, Jia-Wei Liang, and Hao-Chuan Wang. 2023 · 2023
Later among the works it cites.
Moral Machine or Tyranny of the Majority?
Michael Feffer, Hoda Heidari, and Zachary C Lipton. 2023 · 2023
Later among the works it cites.
Ground (less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency . 688–704
Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, and Kenneth Holstein. 2023 · 2023
Later among the works it cites.
Cura: Curation at Social Media Scale
Wanrong He, Mitchell L Gordon, Lindsay Popowski, and Michael S Bernstein. 2023 · 2023
Later among the works it cites.
Decentralizing Platform Power: A Design Space of Multi-level Governance in Online Social Platforms
Shagun Jhaver, Seth Frey, and Amy X Zhang. 2023 · 2023
Later among the works it cites.
Embedding democratic values into social media AIs via societal objective functions
Chenyan Jia, Michelle S Lam, Minh Chau Mai, Jeff Hancock, and Michael S Bernstein. 2023 · 2023
Later among the works it cites.
A hunt for the Snark: Annotator Diversity in Data Practices. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–15
Shivani Kapania, Alex S Taylor, and Ding Wang. 2023 · 2023
Later among the works it cites.
Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–17
Tzu-Sheng Kuo, Hong Shen, Jisoo Geum, Nev Jones, Jason I Hong, Haiyi Zhu, and Kenneth Holstein. 2023 · 2023
Later among the works it cites.
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
Michelle S Lam, Ayush Pandit, Colin H Kalicki, Rachit Gupta, Poonam Sahoo, and Danaë Metaxa. 2023 · 2023
Later among the works it cites.
DMLR: Data-centric Machine Learning Research–Past, Present and Future
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, et al · 2023
Later among the works it cites.
Upvotes? Downvotes? No Votes? Understanding the relationship between reaction mechanisms and political discourse on Reddit. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–28
Orestis Papakyriakopoulos, Severin Engelmann, and Amy Winecoff. 2023 · 2023
Later among the works it cites.
“Who is the right homeless client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–21
Dilruba Showkat, Angela DR Smith, Wang Lingqing, and Alexandra To. 2023 · 2023
Later among the works it cites.
Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation
Angie Zhang, Olympia Walker, Kaci Nguyen, Jiajun Dai, Anqing Chen, and Min Kyung Lee. 2023 · 2023
Later among the works it cites.
A Roadmap to Pluralistic Alignment
Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, et al · 2024
Closest in time.