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Providing More Efficient Access to Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege

https://doi.org/10.1145/3481045
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/pra2.2015.145052010084openalex-snapshot
Finding the privileged few: Supporting privilege review for e‐discovery
inferredcites →https://doi.org/10.1002/pra2.301openalex-snapshot
Using text classification to improve annotation quality by improving annotator consistency
inferredcites →https://doi.org/10.1007/978-3-319-56608-5_35openalex-snapshot
Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings
inferredcites →https://doi.org/10.1007/978-3-642-22589-5_22openalex-snapshot
On the Declassification of Confidential Documents
inferredcites →https://doi.org/10.1007/978-3-642-34620-0_17openalex-snapshot
Detecting Sensitive Information from Textual Documents: An Information-Theoretic Approach
inferredcites →https://doi.org/10.1007/s10956-015-9581-5openalex-snapshot
Defining Computational Thinking for Mathematics and Science Classrooms
inferredcites →https://doi.org/10.1109/bigdata.2016.7840978openalex-snapshot
Opening up dark digital archives through the use of analytics to identify sensitive content
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9005682openalex-snapshot
Computational Thinking in Archival Science Research and Education
inferredcites →https://doi.org/10.1145/1118178.1118215openalex-snapshot
Computational thinking
inferredcites →https://doi.org/10.1145/2808194.2809496openalex-snapshot
Using Part-of-Speech N-grams for Sensitive-Text Classification
inferredcites →https://doi.org/10.1145/3077136.3080812openalex-snapshot
Navigating Imprecision in Relevance Assessments on the Road to Total Recall
inferredcites →https://doi.org/10.1145/3268928openalex-snapshot
Jointly Minimizing the Expected Costs of Review for Responsiveness and Privilege in E-Discovery
inferredcites →https://doi.org/10.1145/3331184.3331256openalex-snapshot
Jointly Modeling Relevance and Sensitivity for Search Among Sensitive Content
inferredcites →https://doi.org/10.1145/3397271.3401284openalex-snapshot
A Test Collection for Relevance and Sensitivity
inferredcites →https://doi.org/10.1145/3417334openalex-snapshot
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review
inferredcites →https://doi.org/10.1145/3458537.3458544openalex-snapshot
A framework for technology-assisted sensitivity review
inferredcites →https://doi.org/10.1184/r1/6625565openalex-snapshot
Replacing Personally-Identifying Information in Medical Records, the Scrub System
inferredcites →https://doi.org/10.17605/osf.io/6yp9jopenalex-snapshot
401.4 Email Preservation at Scale: Preliminary Findings Supporting the Use of Predictive Coding
inferredcites →https://doi.org/10.2139/ssrn.360300openalex-snapshot
The Origins of Logistic Regression
inferredcites →https://doi.org/10.2307/2529310openalex-snapshot
The Measurement of Observer Agreement for Categorical Data
inferredcites →https://doi.org/10.3998/mpub.12230588openalex-snapshot
Final Report and Recommendations
inferredcites →https://doi.org/10.4135/9781452244723.n369openalex-snapshot
Office of Government Information Services
inferredcites →https://doi.org/10.48550/arxiv.1504.06868openalex-snapshot
Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/pra2.1286openalex-snapshot
Tracing the Past, Predicting the Future: A Systematic Review of AI in Archival Science
inferred← citeshttps://doi.org/10.1007/s00146-025-02221-0openalex-snapshot
AI to review government records: new work to unlock historically significant digital records
inferred← citeshttps://doi.org/10.1007/s00146-025-02256-3openalex-snapshot
Using AI in providing greater access to the U.S. government’s email: a progress report
inferred← citeshttps://doi.org/10.1007/s00146-026-03378-yopenalex-snapshot
Material uncertainty in computational workflow in the archives: Holocaust last writings beyond machine-readable extraction
inferred← citeshttps://doi.org/10.1007/s10506-023-09383-6openalex-snapshot
Decision support for detecting sensitive text in government records
inferred← citeshttps://doi.org/10.1017/cfc.2026.10031openalex-snapshot
Missing context: a review of natural language processing for archives
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825962openalex-snapshot
Training in Computational Archival Science: Do CAS Educational Frameworks meet Professional Expectations?
inferred← citeshttps://doi.org/10.1109/iccc68654.2025.11437858openalex-snapshot
AI-Powered Text Screening: A Generative Approach to Identifying Sensitive Information
inferred← citeshttps://doi.org/10.1145/3631990openalex-snapshot
Stopping Methods for Technology-assisted Reviews Based on Point Processes
inferred← citeshttps://doi.org/10.1145/3633477openalex-snapshot
Protecting Privacy in Digital Records: The Potential of Privacy-Enhancing Technologies
inferred← citeshttps://doi.org/10.1145/3651226openalex-snapshot
Improving Automated Detection of FOIA Deliberative Process Privilege Content
inferred← citeshttps://doi.org/10.1145/3711056openalex-snapshot
RequestAtlas: Supporting the Slow and Iterative Process of Requesting Public Records
inferred← citeshttps://doi.org/10.1177/14648849241242988openalex-snapshot
Tale of two requesters: How public records law experiences differ by requester types
inferred← citeshttps://doi.org/10.4467/26581264arc.24.008.20572openalex-snapshot
Artificial intelligence and the future(s) of archival theory and practice
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