411 REFERENCE · Wikibooks
Taking Bearings: Artificial Intelligence in Knowledge Platforms and Open, Social Scholarship/Complete Alphabetical List of References
Reference material by Wikibooks contributors. This retains its source identity and is not 411 news reporting.
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Ación, Laura, Mariela Rajngewerc, Gregory Randall, and Lorena Etcheverry. 2023. “Generative AI Poses Ethical Challenges for Open Science.” Nature Human Behaviour 7 (11): 1800–1801. https://doi.org/10.1038/s41562-023-01740-4.
Adewumi, Tosin, Lama Alkhaled, Claudia Buck, Sergio Hernandez, Saga Brilioth, Mkpe Kekung, Yelvin Ragimov, and Elisa Barney. 2024. “ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs).” Preprint, arXiv, May 1. https://doi.org/10.48550/arXiv.2312.09801.
Aguiar, Micaela, and Sílvia Araújo. 2024. “Final Thoughts: Digital Humanities Looking at Generative AI.” In Digital Humanities Looking at the World, edited by S. Araújo et al., 367–380. Cham: Springer Nature Switzerland.
Akter, Shahriar, Grace McCarthy, Shahriar Sajib, Katina Michael, Yogesh K. Dwivedi, John D’Ambra, and K.N. Shen. 2021. “Algorithmic bias in data-driven innovation in the age of AI.” International Journal of Information Management 60, 102387. https://doi.org/10.1016/j.ijinfomgt.2021.102387.
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Al-kfairy, Mousa, Dheya Mustafa, Nir Kshetri, Mazen Insiew, and Omar Alfandi. 2024. “Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective.” Informatics 11 (3): 58. https://doi.org/10.3390/informatics11030058.
Alvarez, Jose M., Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, et al. 2024. “Policy Advice and Best Practices on Bias and Fairness in AI.” Ethics and Information Technology 26 (2). https://doi.org/10.1007/s10676-024-09746-w.
Anderson, Marc M. 2024. “AI as Philosophical Ideology: A Critical Look Back at John McCarthy’s Program.” Philosophy & Technology 37 (2): 44. https://doi.org/10.1007/s13347-024-00731-1.
de Angelis, Luigi, Francesco Baglivo, Guglielmo Arzilli, Gaetano Pierpaolo Privitera, Paolo Ferragina, Alberto Eugenio Tozzi, and Caterina Rizzo. “ChatGPT and the Rise of Large Language Models: The New AI-Driven Infodemic Threat in Public Health.” Frontiers in Public Health 11 (2023): 1166120. https://doi.org/10.3389/fpubh.2023.1166120.
Arbuckle, Alyssa. 2020. “How Can We Broaden and Diversify Humanities Knowledge Translation?” Pop! Public. Open. Participatory, no. 2. https://doi.org/10.48404/pop.2020.12.
Arbuckle, Arbuckle, Ray Siemens, Jon Bath, Constance Crompton, Laura Estill, Tanja Niemann, Jon Saklofske, and Lynne Siemens. 2022. “An Open Social Scholarship Path for the Humanities.” Journal of Electronic Publishing 25 (2). https://doi.org/10.3998/jep.1973.
Arbuckle, Arbuckle, and John Maxwell. 2019. “Modelling Open Social Scholarship Within the INKE Community.” KULA: Knowledge Creation, Dissemination, and Preservation Studies 3 (1): 1–8. https://doi.org/10.5334/kula.15.
Arnett, Catherine, Eliot Jones, Ivan P. Yamshchikov, and Pierre-Carl Langlais. “Toxicity of the commons: Curating open-source pre-training data.” Preprint, arXiv, November 18. https://doi.org/10.48550/arXiv.2410.22587.
Arora, Payal. 2024. “Creative data justice: a decolonial and indigenous framework to assess creativity and artificial intelligence.” Information, Communication & Society: 1–17. https://doi.org/10.1080/1369118x.2024.2420041.
Arthur, Paul L., Lydia Hearn, Lucy Montgomery, Hugh Craig, Alyssa Arbuckle, and Ray Siemens. 2021. “Open Scholarship in Australia: A Review of Needs, Barriers, and Opportunities.” Digital Scholarship in the Humanities 36 (4): 795–812. https://doi.org/10.1093/llc/fqaa063.
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Bail, Christopher A. “Can Generative Artificial Intelligence Improve Social Science?”. https://www.semanticscholar.org/paper/Can-Generative-Artificial-Intelligence-Improve-Bail/6206cc77bb3a3c0b6b9fce1ad68a8b1786a56941.
Bakharia, Aneesha, Antonette Shibani, Lisa-Angelique Lim, Trish McCluskey, and Simon Buckingham Shum. 2025. “From Transcripts to Themes: A Trustworthy Workflow for Qualitative Analysis Using Large Language Models.” In Joint Proceedings of LAK 2025 Workshops, co-located with the 15th International Conference on Learning Analytics and Knowledge (LAK 2025). Dublin, Ireland: CEUR-WS.org. https://ceur-ws.org/Vol-3995/LLMQUAL_paper1.pdf.
Balendra, Soorya. 2025. “Meta's AI Moderation and Free Speech: Ongoing Challenges in the Global South.” Cambridge Forum on AI: Law and Governance 1. https://doi.org/10.1017/cfl.2025.5.
Baltes, Sebastian, Florian Angermeir, Chetan Arora, Preetha Chatterjee, Jens Deitenbeck, Daniel Graziotin, Christoph Treude, et al. 2025. “Guidelines for Empirical Studies in Software Engineering Involving Large Language Models.” Preprint, arXiv, August 21. https://arxiv.org/abs/2508.15503.
Batool, Amna, Didar Zowghi, and Muneera Bano. 2025. “AI Governance: A Systematic Literature Review.” AI and Ethics 5: 3265–3279. https://doi.org/10.1007/s43681-024-00653-w.
Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜.” Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (New York, NY, USA), FAccT ’21, March 1, 610–23. https://doi.org/10.1145/3442188.3445922.
Bender, Emily M., and Batya Friedman. 2018. “Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science.” Transactions of the Association for Computational Linguistics 6: 587–604. https://doi.org/10.1162/tacl_a_00041.
Bergstrom, Tracy, and Dylan Ruediger. 2024. “A Third Transformation? Generative AI and Scholarly Publishing.” Ithaka S+R. October 30, 2024. https://doi.org/10.18665/sr.321519.
Berry, David M. 2025. “Synthetic Media and Computational Capitalism: Towards a Critical Theory of Artificial Intelligence.” AI & Society 40: 5257–5269. https://doi.org/10.1007/s00146-025-02265-2.
Berry, D. M. (2023). AI, ethics, and digital humanities. In J. O’Sullivan (Ed.), The Bloomsbury handbook to the digital humanities, 445–457. Bloomsbury Academic. https://recoveryhub.siue.edu/wp-content/uploads/2024/10/AI-Ethics-and-Digital-Humanities-.pdf.
Biderman, Stella, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, et al. 2022. “EleutherAI: Going Beyond 'Open Science' to 'Science in the Open.'” Preprint, arXiv, October 12. https://arxiv.org/abs/2210.06413.
Birkstedt, Teemu, Matti Minkkinen, Anushree Tandon, and Matti Mäntymäki. 2023. “AI Governance: Themes, Knowledge Gaps and Future Agendas”. Internet Research 33 (7): 133–67. https://doi.org/10.1108/INTR-01-2022-0042.
Boer, Victor de, and Lise Stork. 2024. “Hybrid Intelligence for Digital Humanities.” Version 1. Preprint, arXiv, April 15. https://doi.org/10.48550/ARXIV.2406.15374.
Bostrom, Nick. 2017. “Strategic Implications of Openness in AI Development.” Global Policy 8 (2): 135–148. https://doi.org/10.1111/1758-5899.12403
Boyd, Karen. 2021. “Datasheets for Datasets Help ML Engineers Notice and Understand Ethical Issues in Training Data.” Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2): 1–27. https://doi.org/10.1145/3479582.
Bozkurt, Aras. 2024. “GenAI et al.: Cocreation, Authorship, Ownership, Academic Ethics and Integrity in a Time of Generative AI.” Open Praxis 16 (1): 1–10. https://doi.org/10.55982/openpraxis.16.1.654.
Broekhuizen, Thijs, Henri Dekker, Pedro De Faria, Sebastian Firk, Dinh Khoi Nguyen, and Wolfgang Sofka. 2023. “AI for Managing Open Innovation: Opportunities, Challenges, and a Research Agenda.” Journal of Business Research 167: 114196. https://doi.org/10.1016/j.jbusres.2023.114196.
Broussard, Meredith. 2023. “The Challenges of AI Preservation.” The American Historical Review 128 (3): 1378–1381. https://doi.org/10.1093/ahr/rhad366.
Brown, Richard. 2023. “The AI Generation: How Universities Can Prepare Students for the Changing World.” DEMOS and University of London. https://demos.co.uk/wp-content/uploads/2023/11/The-AI-Generation-2.pdf.
Bryant, Rebecca. 2024. “Implementing an AI Reference Chatbot at the University of Calgary Library.” Hanging Together, December 12. https://hangingtogether.org/implementing-an-ai-reference-chatbot-at-the-university-of-calgary-library/.
Buitrago-Ciro, Jairo, Marta Samokishyn, Rachel Moylan, Jonathan Hernández Pérez, Oluwabunmi Bakare-Fatungase, and Carmel Firdawsi. 2025. “Bridging the AI Gap: Comparative Analysis of AI Integration, Education, and Outreach in Academic Libraries.” IFLA Journal 51 (3): 682–702. https://doi.org/10.1177/03400352251325274.
Bullard, J. (2023). “Describing the HSS Commons: The View from Metadata.” Pop! Public. Open. Participatory, no. 5. https://doi.org/10.54590/pop.2023.004.
Burton, Jason W., Ezequiel Lopez-Lopez, Shahar Hechtlinger, et al. 2024. “How Large Language Models Can Reshape Collective Intelligence.” Nature Human Behaviour 8 (9): 1643–55. https://doi.org/10.1038/s41562-024-01959-9.
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Carmi, Elinor, Simeon J. Yates, Eleanor Lockley, and Alicja Pawluczuk. 2020. “Data Citizenship: Rethinking Data Literacy in the Age of Disinformation, Misinformation, and Malinformation.” Internet Policy Review 9 (2). https://doi.org/10.14763/2020.2.1481.
Carnegie Endowment for International Peace. 2024. “Beyond Open vs. Closed: Emerging Consensus and Key Questions for Foundation AI Model Governance (2024).” https://carnegieendowment.org/research/2024/07/beyond-open-vs-closed-emerging-consensus-and-key-questions-for-foundation-ai-model-governance?lang=en.
Carroll, Stephanie Russo, Ibrahim Garba, Óscar Luis Figueroa Rodríguez, Jarita Holbrook, and Raymond Lovett. 2020. “The CARE Principles for Indigenous Data Governance.” Data Science Journal 19 (1): 43. https://doi.org/10.5334/dsj-2020-043.
Carroll, Stephanie Russo, Edit Herczog, Māui Hudson, Keith Russell, and Shelley Stall. 2021. “Operationalizing the CARE and FAIR Principles for Indigenous Data Futures.” Scientific Data 8: 108. https://doi.org/10.1038/s41597-021-00892-0.
Checco, Alessandro, Lorenzo Bracciale, Pierpaolo Loreti, Stephen Pinfield, and Giuseppe Bianchi. 2021. “AI-Assisted Peer Review.” Humanities and Social Sciences Communications 8: 25. https://doi.org/10.1057/s41599-020-00703-8.
Cheong, Inyoung. 2024. “Collaborative Approaches to AI Governance: Exploring Co-Design and Co-Regulation Models.” PhD diss., University of Washington. https://homes.cs.washington.edu/\~yoshi/papers/theses/inyoung-cheong-dissertation.pdf.
Chun, Jon, and Katherline Elkins. 2023. “The Crisis of Artificial Intelligence: A New Digital Humanities Curriculum for Human-Centred AI.” International Journal of Humanities and Arts Computing 17 (2): 147–167. https://doi.org/10.3366/ijhac.2023.0310.
Chung, Hiu-Fung. 2025. “Betting on (Un)Certain Futures: Sociotechnical Imaginaries of AI and Varieties of Techno-Developmentalism in Asia.” Information, Communication & Society 29 (3): 909–926. https://doi.org/10.1080/1369118X.2025.2535427.
Colbert-Lewis, Danielle, Lawrence Maminta, Kelly McElroy, Graeme Slaght, and Mark Swartz. 2024. “The Citation Economy as a Site of Extraction for Surveillance Publishing.” Canadian Journal of Academic Librarianship 10 (December): 1–22. https://doi.org/10.33137/cjal-rcbu.v10.43293.
Cooper, Martin. 2023. “Open Source Is Good for AI But, Is AI Good for Open Source?” ITNOW 65 (2): 50–51. https://doi.org/10.1093/combul/bwad062.
Corsi, Giulio, Bill Marino, and Willow Wong. 2024. “The spread of synthetic media on X.” Harvard Kennedy School (HKS) Misinformation Review. https://doi.org/10.37016/mr-2020-140.
Crompton, Constance, Lori Antranikan, Ruth Truong, and Paige Maskell. 2020. “Familiar Wikidata: The Case for Building a Data Source We Can Trust.” Pop! Public. Open. Participatory, no. 2. https://doi.org/10.48404/pop.2020.02.
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Delmonaco, Daniel, Samuel Mayworm, Hibby Thach, Josh Guberman, Aurelia Augusta, and Oliver L. Haimson. 2024. “'What are you doing, TikTok?': How Marginalized Social Media Users Perceive, Theorize, and 'Prove' Shadowbanning.” Available at: https://oliverhaimson.com/PDFs/DelmonacoShadowbanning.pdf.
Deng, Ruiqi, Maoli Jiang, Xinlu Yu, Yuyan Lu, and Shasha Liu. 2025. “Does ChatGPT Enhance Student Learning? A Systematic Review and Meta-Analysis of Experimental Studies.” Computers & Education 227: 105224. https://doi.org/10.1016/j.compedu.2024.105224.
Dennstädt, Fabio, Cedric Sivert Möller, Tim Fellerhoff, Felix Busch, Oke Gerke, André Karch, and Oliver Krause. 2024. “Title and Abstract Screening for Literature Reviews Using Large Language Models: An Exploratory Study in the Biomedical Domain.” Systematic Reviews 13 (1): 158. https://doi.org/10.1186/s13643-024-02575-4.
Drolsbach, Chiara, and Nicolas Pröllochs. 2025. “Characterizing AI-Generated Misinformation on Social Media.” Preprint, arXiv, May 15. https://doi.org/10.48550/arXiv.2505.10266.
Duricic, Tomislav, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, and Elisabeth Lex. 2023. “Beyond-Accuracy: A Review on Diversity, Serendipity, and Fairness in Recommender Systems Based on Graph Neural Networks.” Frontiers in Big Data 6: 1251072. https://doi.org/10.3389/fdata.2023.1251072.
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El Khatib, Randa, Lindsey Seatter, Tracey El Hajj, Conrad Leibel, Alyssa Arbuckle, Ray Siemens, Caroline Winter, and the ETCL and INKE Research Groups. 2019. “Open Social Scholarship Annotated Bibliography.” KULA: Knowledge Creation, Dissemination, and Preservation Studies 3 (1): 24. https://doi.org/10.5334/kula.58.
Eloundou, Tyna, Sam Manning, Pamela Mishkin, and Daniel Rock. 2024. “GPTs are GPTs: Labor market impact potential of LLMs.” Science 384 (6698): 1306–1311. https://doi.org/10.1126/science.adj0998.
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Fırıncı, Yusuf. 2024. “Decolonial Artificial Intelligence; Algorithmic Fairness in Alignment with Turkish and Islamic Values.” Marmara Üniversitesi İlahiyat Fakültesi Dergisi 67 (67): 250–279. https://doi.org/10.15370/maruifd.1565884.
Fanning, Katie, Claire Kim, and Jon Saklofske. 2023. “Interactive Inspirations: The Case for Incorporating Joy and Play in Open Social Scholarship.” Pop! Public. Open. Participatory, no. 5. https://doi.org/10.54590/pop.2023.012.
Floridi, Luciano. 2018. “Soft Ethics and the Governance of the Digital.” Philosophy & Technology 31 (1): 1–8. https://doi.org/10.1007/s13347-018-0303-9.
Frangou, Sophia, Umberto Volpe, and Andrea Fiorillo. 2025. “AI in scientific writing and publishing: A call for critical engagement.” European Psychiatry 68 (1): e98. https://doi.org/10.1192/j.eurpsy.2025.10061.
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Gallegos, Isabel O., Ryan A. Rossi, Joe Barrow, Md Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, and Nesreen K. Ahmed. 2024. “Bias and Fairness in Large Language Models: A Survey.” Computational Linguistics 50 (3): 1097–1179. https://doi.org/10.1162/coli_a_00524.
Gasser, Urs, and Virgilio A. F. Almeida. 2017. “A Layered Model for AI Governance.” IEEE Internet Computing 21 (6): 58–62. https://doi.org/10.1109/MIC.2017.4180835.
Goddard, Lisa. 2021. Persistent Identifiers as Open Research Infrastructure to Reduce Administrative Burden. Pop! Public. Open. Participatory, no. 3. https://doi.org/10.54590/pop.2021.006.
Gorwa, Robert, Reuben Binns, and Christian Katzenbach. 2020. “Algorithmic Content Moderation: Technical and Political Challenges in the Automation of Platform Governance.” Big Data & Society 7 (1): 1–15. https://doi.org/10.1177/2053951719897945.
Graßhoff, Gerd. 2025. “AI-Reporter: A Path to a New Genre of Scientific Communication.” Preprint, arXiv, July 8. https://arxiv.org/abs/2507.05903.
Grigoli, Leland Renato. 2023. “Ghosts in the Machine.” American Historical Association 61 (3). https://www.historians.org/wp-content/uploads/2024/07/Perspectives\_61N3.pdf.
Gruzd, Anatoliy, Philip Mai, and Anthony Clements Haines. 2025. The State of Generative AI Use in Canada 2025: Exploring Public Attitudes and Adoption Trends. Toronto: Social Media Lab, Toronto Metropolitan University. https://figshare.com/articles/preprint/The_State_of_Generative_AI_Use_in_Canada_2025_Exploring_Public_Attitudes_and_Adoption_Trends/28664780/1The\_State\_of\_Generative\_AI\_Use\_in\_Canada\_2025\_Exploring\_Public\_Attitudes\_and\_Adoption\_Trends/28664780/1.
Gulson, Kalervo N., and P. Taylor Webb. 2023. “Steering the Mind Share: Technology Companies, Policy and Artificial Intelligence Research in Universities.” Discourse: Studies in the Cultural Politics of Education 44 (2): 195–207. https://doi.org/10.1080/01596306.2021.1981828.
Gundersen, Odd Erik, Odd Cappelen, Martin Mølnå, and Nicklas Grimstad Nilsen. 2024. “The Unreasonable Effectiveness of Open Science in AI: A Replication Study.” Preprint, arXiv, December 20. https://doi.org/10.48550/ARXIV.2412.17859.
Guo, Xinwei, Yujun Li, Yafeng Peng, and Xuetao Wei. 2024. “Copyleft for Alleviating AIGC Copyright Dilemma: What-if Analysis, Public Perception and Implications.” Preprint, arXiv, February 19. https://arxiv.org/abs/2402.12216.
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Hadley, Emma, Alan Blatecky, and Megan Comfort. 2025. “Investigating Algorithm Review Boards for Organizational Responsible Artificial Intelligence Governance.” AI and Ethics 5: 2485–2495. https://doi.org/10.1007/s43681-024-00574-8.
Hara, Noriko, Eugene Kim, Shohana Akter, and Kunihiro Miyazaki. 2025. “Exploring the Dynamics of Interaction About Generative Artificial Intelligence Between Experts and the Public on Social Media.” Journal of Science Communication 24 (1): A02. https://doi.org/10.22323/2.24010202.
Heger, Amy, Liz B. Marquis, Mihaela Vorvoreanu, Hanna Wallach, and Jennifer Wortman Vaughan. 2022. “Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata.” Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2): 1–29. https://doi.org/10.1145/3555760.
Helregel, Nicole. 2025. “AI and Open Science: Implications and Library Practice Recommendations.” Library Trends 73 (3). https://doi.org/10.1353/lib.2025.a961191.
Hertweck, Corinna, Joachim Baumann, Michele Loi, Eleonora Viganò, and Christoph Heitz. 2022. “A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs.” Preprint, arXiv, June 6. https://arxiv.org/abs/2206.02891.
Hosseini, Mohammad, Serge P. J. M. Horbach, Kristi Holmes, and Tony Ross-Hellauer. 2025. “Open Science at the generative AI turn: An exploratory analysis of challenges and opportunities.” Quantitative Science Studies 6: 22–45. https://doi.org/10.1162/qss_a_00337.
Hosseini, Mohammad, and Serge P. J. M. Horbach. 2023. “Fighting Reviewer Fatigue or Amplifying Bias? Considerations and Recommendations for Use of ChatGPT and Other Large Language Models in Scholarly Peer Review.” Research Integrity and Peer Review 8 (1): 15. https://doi.org/10.21203/rs.3.rs-2587766/v1.
Huerta, E. A., Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, and D. Díaz, et al. 2023. “FAIR for AI: An Interdisciplinary and International Community Building Perspective.” Scientific Data 10: 487. https://doi.org/10.1038/s41597-023-02298-6.
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Jaillant, Lise, Olivia Mitchell, Eric Ewoh-Opu, and Maribel Hidalgo Urbaneja. 2025. “How Can We Improve the Diversity of Archival Collections with AI? Opportunities, Risks, and Solutions.” AI & Society 40: 4447–4459. https://doi.org/10.1007/s00146-025-02222-z.
Janssen, Marijn. 2025. “Responsible Governance of Generative AI: Conceptualizing GenAI as Complex Adaptive Systems.” Policy and Society 44 (1): 38–51. https://doi.org/10.1093/polsoc/puae040.
Jarrahi, Mohammad Hossein, Gemma Newlands, Min Kyung Lee, Christine T. Wolf, Eliscia Kinder, and Will Sutherland. 2021. “Algorithmic management in a work context.” Big Data & Society 8 (2): 20539517211020332. https://doi.org/10.1177/20539517211020332.
Jensen, Graham. 2023. "Digital Knowledge Commons, Scholarly Connection, and the Evolution of Open Scholarship." In Open Scholarship Press Curated Volumes: Connection. https://doi.org/10.21428/47bc126e.0ca461a4.
Jensen, Graham, Alyssa Arbuckle, Caroline Winter, Talya Jesperson, Tyler Fontenot, Ray Siemens, and the ETCL and INKE Research Groups. 2022. “Fostering Digital Communities of Care: Safety, Security, and Trust in the Canadian HSS Commons.“ IDEAH 3 (2). https://ideah.pubpub.org/pub/h7927ugt.
Jiang, Jialei. 2024. “When generative artificial intelligence meets multimodal composition: Rethinking the composition process through an AI-assisted design project.” Computers and Composition 74: 102883. https://doi.org/10.1016/j.compcom.2024.102883.
Jones, Matthew L. 2023. “AI in History.” The American Historical Review 128 (3): 1360–67. https://doi.org/10.1093/ahr/rhad361.
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Kay, Jackie, Atoosa Kasirzadeh, and Shakir Mohamed. 2024. “Epistemic Injustice in Generative AI.” Preprint, arXiv, August 21. https://doi.org/10.48550/arXiv.2408.11441.
Kember, Sarah, and Amy Brand. 2023. “The Corporate Capture of Open-Access Publishing.” The Chronicle of Higher Education, August 16. https://www.chronicle.com/article/the-corporate-capture-of-open-access-publishing.
Kirschenbaum, Matthew. 2025. “The US of AI.” Public Draft, February 25, 2025. https://drive.google.com/file/d/1O2qkjhg7Ei5zZWmBraNwXq4V0lTauspN/view.
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Ma, Lai. 2024. “Generative AI for Academic Publishing? Some Thoughts About Epistemic Diversity and the Pursuit of Truth.” KULA: Knowledge Creation, Dissemination, and Preservation Studies 7 (1): 1–5. https://doi.org/10.18357/kula.287.
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