26  References

Autio, Chloe, Reva Schwartz, Jesse Dunietz, Shomik Jain, Martin Stanley, Elham Tabassi, Patrick Hall, and Kamie Roberts. “Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile.” National Institute of Standards and Technology, 2024. https://doi.org/10.6028/NIST.AI.600-1.

Beelen, Kaspar, Jon Lawrence, Daniel C. S. Wilson, and David Beavan. “Bias and Representativeness in Digitized Newspaper Collections: Introducing the Environmental Scan.” Digital Scholarship in the Humanities 38, no. 1 (2023): 1–22. https://doi.org/10.1093/llc/fqac037.

Blaizot, Aymeric, Sajesh K. Veettil, Pantakarn Saidoung, Carlos Francisco Moreno-Garcia, Nirmalie Wiratunga, Magaly Aceves-Martins, Nai Ming Lai, and Nathorn Chaiyakunapruk. “Using Artificial Intelligence Methods for Systematic Review in Health Sciences: A Systematic Review.” Research Synthesis Methods 13, no. 3 (2022): 353–62. https://doi.org/10.1002/jrsm.1553.

Booth, Andrew, Anthea Sutton, and Diana Papaioannou. Systematic Approaches to a Successful Literature Review. 2nd ed. London: SAGE Publications, 2016.

Brandt, Patrick T., and Marcus Sianan. “Measurement of Event Data from Text.” Frontiers in Political Science 6 (2025): 1453640. https://doi.org/10.3389/fpos.2024.1453640.

Braun, Virginia, and Victoria Clarke. “One Size Fits All? What Counts as Quality Practice in (Reflexive) Thematic Analysis?” Qualitative Research in Psychology 18, no. 3 (2021): 328–52. https://doi.org/10.1080/14780887.2020.1769238.

Cai, Erica, and Brendan O’Connor. “A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction.” In NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023. https://doi.org/10.48550/arXiv.2305.15051.

Elliott, Julian H., Anneliese Synnot, Tari Turner, Mark Simmonds, Elie A. Akl, Steve McDonald, Georgia Salanti, et al. “Living Systematic Review: 1. Introduction, the Why, What, When, and How.” Journal of Clinical Epidemiology 91 (2017): 23–30. https://doi.org/10.1016/j.jclinepi.2017.08.010.

Enders, Walter, Todd Sandler, and Khusrav Gaibulloev. “Domestic Versus Transnational Terrorism: Data Decomposition and Dynamics.” Journal of Peace Research 48, no. 3 (2011): 319–37. https://doi.org/10.1177/0022343311398926.

Fairfield, Tasha, and Andrew E. Charman. “Explicit Bayesian Analysis for Process Tracing: Guidelines, Opportunities, and Caveats.” Political Analysis 25, no. 3 (2017): 363–80. https://doi.org/10.1017/pan.2017.14.

Garrison, Kevin. “An Empirical Analysis of Using Text-to-Speech Software to Revise First-Year College Students’ Essays.” Computers and Composition 26, no. 4 (2009): 288–301. https://doi.org/10.1016/j.compcom.2009.09.002.

Gerring, John. Social Science Methodology: A Unified Framework. 2nd ed. Cambridge: Cambridge University Press, 2012.

Gilardi, Fabrizio, Meysam Alizadeh, and Maël Kubli. “ChatGPT Outperforms Crowd Workers for Text-Annotation Tasks.” Proceedings of the National Academy of Sciences 120, no. 30 (2023): e2305016120. https://doi.org/10.1073/pnas.2305016120.

Grant, Maria J., and Andrew Booth. “A Typology of Reviews: An Analysis of 14 Review Types and Associated Methodologies.” Health Information
& Libraries Journal 26, no. 2 (2009): 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x.

Greenhalgh, Trisha, and Richard Peacock. “Effectiveness and Efficiency of Search Methods in Systematic Reviews of Complex Evidence: Audit of Primary Sources.” BMJ 331, no. 7524 (2005): 1064–65. https://doi.org/10.1136/bmj.38636.593461.68.

Hedges, Larry V., Elizabeth Tipton, and Matthew C. Johnson. “Robust Variance Estimation in Meta-Regression with Dependent Effect Size Estimates.” Research Synthesis Methods 1, no. 1 (2010): 39–65. https://doi.org/10.1002/jrsm.5.

Irsova, Zuzana, Hristos Doucouliagos, Tomas Havranek, and T. D. Stanley. “Meta-Analysis of Social Science Research: A Practitioner’s Guide.” Journal of Economic Surveys 38, no. 5 (2024): 1547–66. https://doi.org/10.1111/joes.12595.

Kim, Soo Hyon. “The Myth of Revising by Ear: Does It Help Multilingual Writers?” The Writing Center Journal 43, no. 3 (2025). https://doi.org/10.7771/2832-9414.2125.

Lebo, Timothy, Satya Sahoo, and Deborah McGuinness. “PROV-O: The PROV Ontology.” W3C Recommendation. World Wide Web Consortium, 2013. https://www.w3.org/TR/prov-o/.

Lin, Susan, Jeremy Warner, J. D. Zamfirescu-Pereira, Matthew G. Lee, Sauhard Jain, Shanqing Cai, Piyawat Lertvittayakumjorn, et al. “Rambler: Supporting Writing with Speech via LLM-Assisted Gist Manipulation.” In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2024. https://doi.org/10.1145/3613904.3642217.

Littell, Julia H. “Conceptual and Practical Classification of Research Reviews and Other Evidence Synthesis Products.” Campbell Systematic Reviews 14, no. 1 (2018): 1–21. https://doi.org/10.4073/cmdp.2018.1.

Liu, Can, Siying Hu, Li Feng, and Mingming Fan. “Typist Experiment: An Investigation of Human-to-Human Dictation via Role-Play to Inform Voice-Based Text Authoring.” Proceedings of the ACM on Human-Computer Interaction 6 (2022). https://doi.org/10.1145/3555758.

Liu, Nelson F., Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. “Lost in the Middle: How Language Models Use Long Contexts.” Transactions of the Association for Computational Linguistics 12 (2024): 157–73. https://doi.org/10.1162/tacl_a_00638.

Malterud, Kirsti, Volkert Dirk Siersma, and Ann Dorrit Guassora. “Sample Size in Qualitative Interview Studies: Guided by Information Power.” Qualitative Health Research 26, no. 13 (2016): 1753–60. https://doi.org/10.1177/1049732315617444.

Marshall, Iain J., and Byron C. Wallace. “Toward Systematic Review Automation: A Practical Guide to Using Machine Learning Tools in Research Synthesis.” Systematic Reviews 8, no. 1 (2019): 163. https://doi.org/10.1186/s13643-019-1074-9.

Moreau, David, and Beau Gamble. “Conducting a Meta-Analysis in the Age of Open Science: Tools, Tips, and Practical Recommendations.” Psychological Methods 27, no. 3 (2022): 426–32. https://doi.org/10.1037/met0000351.

Mühlberger, Günter et al. “Transforming Scholarship in the Archives Through Handwritten Text Recognition: Transkribus as a Case Study.” Journal of Documentation 75, no. 5 (2019): 954–76. https://doi.org/10.1108/JD-07-2018-0114.

National Consortium for the Study of Terrorism and Responses to Terrorism. “Global Terrorism Database Codebook: Methodology Inclusion Criteria and Variables,” 2024. https://www.start.umd.edu/gtd/downloads/Codebook.pdf.

Page, Matthew J., Joanne E. McKenzie, Patrick M. Bossuyt, Isabelle Boutron, Tammy C. Hoffmann, Cynthia D. Mulrow, et al. “The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews.” BMJ 372 (2021): n71. https://doi.org/10.1136/bmj.n71.

Pangakis, Nicholas, Samuel Wolken, and Sergio Fasching. “Automated Annotation with Generative AI Requires Validation.” arXiv, 2023. https://doi.org/10.48550/arXiv.2306.00176.

Park, Joon Sung, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. “Generative Agents: Interactive Simulacra of Human Behavior.” In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 1–22, 2023. https://doi.org/10.1145/3586183.3606763.

Pedahzur, Ami. “Historical Evidence Chain: Salem Witch Trials Pilot,” 2026. https://github.com/pedahzur/historical-evidence-chain.

Pigott, Terri D., and Joshua R. Polanin. “Methodological Guidance Paper: High-Quality Meta-Analysis in a Systematic Review.” Review of Educational Research 90, no. 1 (2020): 24–46. https://doi.org/10.3102/0034654319877153.

Polanin, Joshua R., Emily A. Hennessy, and Sho Tsuji. “Transparency and Reproducibility of Meta-Analyses in Psychology: A Meta-Review.” Perspectives on Psychological Science 15, no. 4 (2020): 1026–41. https://doi.org/10.1177/1745691620906416.

Rethlefsen, Melissa L., Shona Kirtley, Siw Waffenschmidt, Ana Patricia Ayala, David Moher, Matthew J. Page, and Jonathan B. Koffel. “PRISMA-s: An Extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews.” Systematic Reviews 10, no. 1 (2021): 39. https://doi.org/10.1186/s13643-020-01542-z.

Roberts, Hal, Rahul Bhargava, Linas Valiukas, Dennis Jen, Momin M. Malik, Cindy Bishop, Emily B. Ndulue, et al. “Media Cloud: Massive Open Source Collection of Global News on the Open Web.” Proceedings of the International AAAI Conference on Web and Social Media 15, no. 1 (2021): 1034–45. https://doi.org/10.1609/icwsm.v15i1.18127.

Saunders, Benjamin, Julius Sim, Tom Kingstone, Shula Baker, Jackie Waterfield, Bernadette Bartlam, Heather Burroughs, and Clare Jinks. “Saturation in Qualitative Research: Exploring Its Conceptualization and Operationalization.” Quality & Quantity 52 (2018): 1893–1907. https://doi.org/10.1007/s11135-017-0574-8.

Snyder, Hannah. “Literature Review as a Research Methodology: An Overview and Guidelines.” Journal of Business Research 104 (2019): 333–39. https://doi.org/10.1016/j.jbusres.2019.07.039.

Sousa, M. Sharmila A., Sasha Peiris, Mabel F. Figueiró, Michelle M. Haby, Ana Cyntia Baraldi, Ludovic Reveiz, and João Paulo Souza. “The Landscape of Artificial Intelligence Tools and Platforms for Evidence Synthesis: A Scoping Review.” Systematic Reviews 15, no. 1 (2026): 82. https://doi.org/10.1186/s13643-025-02842-y.

Trouillot, Michel-Rolph. Silencing the Past: Power and the Production of History. Boston: Beacon Press, 1995.

Ugan, Enes Yavuz, Ngoc-Quan Pham, and Alexander Waibel. “DECM: Evaluating Bilingual ASR Performance on a Code-Switching/Mixing Benchmark.” In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 4468–75. Torino, Italy: ELRA; ICCL, 2024. https://aclanthology.org/2024.lrec-main.400/.

Uttley, Lesley, Yuliang Weng, and Louise Falzon. “What’s the Meta Now? More Updates on the Problems with Systematic Reviews.” Journal of Clinical Epidemiology 198 (2026): 112393. https://doi.org/10.1016/j.jclinepi.2026.112393.

Weidmann, Nils B., Mats Faulborn, and David García. “Large Language Models Are Democracy Coders with Attitudes.” PS: Political Science & Politics 59, no. 1 (2026): 17–23. https://doi.org/10.1017/S1049096525101248.

Wineburg, Samuel S. “Historical Problem Solving: A Study of the Cognitive Processes Used in the Evaluation of Documentary and Pictorial Evidence.” Journal of Educational Psychology 83, no. 1 (1991): 73–87. https://doi.org/10.1037/0022-0663.83.1.73.

Wohlin, Claes. “Guidelines for Snowballing in Systematic Literature Studies and a Replication in Software Engineering.” In Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, 1–10. Association for Computing Machinery, 2014. https://doi.org/10.1145/2601248.2601268.

Xiong, Miao, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, and Bryan Hooi. “Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.” In The Twelfth International Conference on Learning Representations, 2024. https://openreview.net/forum?id=gjeQKFxFpZ.

Yao, Shunyu, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. “ReAct: Synergizing Reasoning and Acting in Language Models.” In The Eleventh International Conference on Learning Representations, 2023. https://openreview.net/forum?id=WE_vluYUL-X.

Zaks, Sherry. “Updating Bayesian(s): A Critical Evaluation of Bayesian Process Tracing.” Political Analysis 29, no. 1 (2021): 58–74. https://doi.org/10.1017/pan.2020.10.

Ziems, Caleb, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. “Can Large Language Models Transform Computational Social Science?” Computational Linguistics 50, no. 1 (2024): 237–91. https://doi.org/10.1162/coli_a_00502.