NSF IIS Program
Project # 1618695

Safely Searching Among Sensitive Content


Publications

     
  • Modassir Iqbal, Katie Shilton, Mahmoud F. Sayed, Douglas W. Oard, Jonah Lynn Rivera and William Cox, Search with Discretion: Value Sensitive Design of Training Data for Information Retrieval, Proceedings of the ACM on Human Computer Interaction (also presented at CSCW 2021), 20 pages, 2021.
  • Graham McDonald and Douglas W. Oard, Search Among Sensitive Content, ECIR 2021 Tutorial Abstract, in Proceedings of the 43rd European Conference on IR Research, 1 page, 2021.
  • Douglas W. Oard, The Future of Information Retrieval Evaluation, in Evaluating Information Retrieval and Access Tasks: NTCIR's Legacy of Research Impact, Springer, 2020.
  • Mahmoud Sayed, William Cox, Jonah Lynn Rivera, Caitlin Christian-Lamb, Modassir Iqbal, Douglas W. Oard and Katie Shilton, A Test Collection for Relevance and Sensitivity, Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, 2020.
  • Jimmy Lin, Ian Milligan, Douglas Oard, Nick Ruest and Katie Shilton, We Could, But Should We? Ethical Considerations for Providing Access to GeoCities and Other Historical Digital Collections, Proceedings of the ACM Conference on Human Information Interaction and Retrieval (CHIIR), Vancouver, BC, Canada, 2020.
  • Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, and Michael D. Ekstrand (eds.) and Adam Roegiest, Aldo Lipani, Alex Beutel, Alexandra Olteanu, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Jean Garcia-Gathright, Joris Baan, Kamuela N. Lau, Krisztian Balog, Maarten de Rijke, Mahmoud Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Michael D. Ekstrand, Preethi Lahoti, and Toshihiro Kamishima (authors), FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval, SIGIR Forum, (53)2, 2019.
  • Mahmoud F. Sayed and Douglas W. Oard (2019). Jointly Modeling Relevance and Sensitivity for Search Among Sensitive Content. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, 2019.
  • Douglas W. Oard, Fabrizio Sebastiani and Jyothi K. Vinjumur, Jointly Minimizing the Expected Costs of Review for Responsiveness and Privilege in E-Discovery, ACM Transactions on Information Systems, 2018.
  • Jyothi K. Vinjumur, Predictive Coding Technique with Manual Review to Identify Privileged Documents in E-Discovery, Ph.D. Dissertation, College of Information Studies, University of Maryland, College Park, 2018.
  • Rashmi Sankepally and Douglas W. Oard, An Initial Test Collection for Ranked Retrieval of SMS Conversations, in Eleventh Language Resources and Evaluation Conference, 5 pages, Miyazaki, Japan, 2018.
  • Katie Shilton, Amy Wickner, Douglas W. Oard and Jimmy Lin, Protecting Sensitive Content in Email: Archival Views on Challenges and Opportunities, The First International Workshop on Privacy-Sensitive Collections for Digital Scholarship, 4 pages, Montreal, Canada, 2017.
  • Douglas W. Oard, Jyothi Vinjumur and Fabrizio Sebastiani, When is it Rational to Review for Privilege? ICAIL DESI VII Workshop on Using Advanced Data Analysis in eDiscovery and Related Disciplines to Identify and Protect Sensitive Information in Large Collections, 10 pages, London, UK, 2017.
  • Douglas W. Oard, Katie Shilton and Jimmy Lin, Evaluating Search Among Secrets, in The Seventh International Workshop on Evaluating Information Access, Tokyo, Japan, 2016. (this paper predates the project)
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Page created: December 11, 2017

This material is based upon work supported by the National Science Foundation under Grant No. 1618695. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.