arXiv cs.CY Computers and Society

Zhangqi Duan, Arnav Kankaria, Dhruv Kartik, Andrew Lan: Using LLMs for Knowledge Component-level Correctness Labeling in Open-ended Coding Problems https://arxiv.org/abs/2602.17542 https://arxiv.org/pdf/2602.17542 https://arxiv.org/html/2602.17542

Dimitri Staufer, Kirsten Morehouse: What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data https://arxiv.org/abs/2602.17483 https://arxiv.org/pdf/2602.17483 https://arxiv.org/html/2602.17483

Yi-Chih Huang: From Labor to Collaboration: A Methodological Experiment Using AI Agents to Augment Research Perspectives in Taiwan's Humanities and Social Sciences https://arxiv.org/abs/2602.17221 https://arxiv.org/pdf/2602.17221 https://arxiv.org/html/2602.17221

Ortu, Yook, Pandey, Samway, Sch\"olkopf, Cazzaniga, Mihalcea, Jin: Preserving Historical Truth: Detecting Historical Revisionism in Large Language Models https://arxiv.org/abs/2602.17433 https://arxiv.org/pdf/2602.17433 https://arxiv.org/html/2602.17433

Dejan Grba: Insidious Imaginaries: A Critical Overview of AI Speculations https://arxiv.org/abs/2602.17383 https://arxiv.org/pdf/2602.17383 https://arxiv.org/html/2602.17383

Aggarwal, Basotia, Gupta, Kulkarni, Kapoor, J., Mukundan, Pokhriyal, Sen, Shah, Thakkar: Astra: AI Safety, Trust, & Risk Assessment https://arxiv.org/abs/2602.17357 https://arxiv.org/pdf/2602.17357 https://arxiv.org/html/2602.17357

Valdemar \v{S}v\'abensk\'y, Brendan Flanagan, Erwin Daniel L\'opez Zapata, Atsushi Shimada: Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE https://arxiv.org/abs/2602.17314 https://arxiv.org/pdf/2602.17314 https://arxiv.org/html/2602.17314

Jonas Festor, Ivo Snels, Bennett Kleinberg: Human attribution of empathic behaviour to AI systems https://arxiv.org/abs/2602.17293 https://arxiv.org/pdf/2602.17293 https://arxiv.org/html/2602.17293

Garima Sahu, Poorva Verma, Nachiket Tapas: Non-Invasive Anemia Detection: A Multichannel PPG-Based Hemoglobin Estimation with Explainable Artificial Intelligence https://arxiv.org/abs/2602.17290 https://arxiv.org/pdf/2602.17290 https://arxiv.org/html/2602.17290

Arshia Dutta, Rikke Bjerg Jensen: Security at the Border? The Lived Experiences of Refugees and Asylum Seekers in the UK https://arxiv.org/abs/2602.17280 https://arxiv.org/pdf/2602.17280 https://arxiv.org/html/2602.17280

Beauregard, Zimmerman, Fehr, Tangherlini, Danforth, Dodds: Archetypes and gender in fiction: A data-driven mapping of gender stereotypes in stories https://arxiv.org/abs/2602.17005 https://arxiv.org/pdf/2602.17005 https://arxiv.org/html/2602.17005

Josef A. Habdank: A testable framework for AI alignment: Simulation Theology as an engineered worldview for silicon-based agents https://arxiv.org/abs/2602.16987 https://arxiv.org/pdf/2602.16987 https://arxiv.org/html/2602.16987

Chao Li, Chunyi Zhao, Yuru Wang, Yi Hua: How should AI knowledge be governed? Epistemic authority, structural transparency, and the case for open cognitive graphs https://arxiv.org/abs/2602.16949 https://arxiv.org/pdf/2602.16949 https://arxiv.org/html/2602.16949

Tran Duc Le, Truong Duy Dinh, Phuc Hao Do, Van Dai Pham, Nam Son Nguyen: Beyond the Flag: A Framework for Integrating Cybersecurity Competitions into K-12 Education for Cognitive Apprenticesh... https://arxiv.org/abs/2602.16921 https://arxiv.org/pdf/2602.16921 https://arxiv.org/html/2602.16921

Yasmin Kafai, Jos\'e Ram\'on Liz\'arraga, R. Benjamin Shapiro: CreateAI Insights from an NSF Workshop on K12 Students, Teachers, and Families as Designers of Artificial Intelligence and Machi... https://arxiv.org/abs/2602.16894 https://arxiv.org/pdf/2602.16894 https://arxiv.org/html/2602.16894

Yasmin Kafai, Shuchi Grover: Expanding the Scope of Computational Thinking in Artificial Intelligence for K-12 Education https://arxiv.org/abs/2602.16890 https://arxiv.org/pdf/2602.16890 https://arxiv.org/html/2602.16890

[2026-02-20 Fri (UTC), 13 new articles found for csCY Computers and Society]

J. Martin Smit, Fernando P. Santos: Fairness Dynamics in Digital Economy Platforms with Biased Ratings https://arxiv.org/abs/2602.16695 https://arxiv.org/pdf/2602.16695 https://arxiv.org/html/2602.16695

Stephan Rabanser, Sayash Kapoor, Peter Kirgis, Kangheng Liu, Saiteja Utpala, Arvind Narayanan: Towards a Science of AI Agent Reliability https://arxiv.org/abs/2602.16666 https://arxiv.org/pdf/2602.16666 https://arxiv.org/html/2602.16666

Marvin N. Wright, Lukas Burk, Pegah Golchian, Jan Kapar, Niklas Koenen, Sophie Hanna Langbein: Machine Learning in Epidemiology https://arxiv.org/abs/2602.16352 https://arxiv.org/pdf/2602.16352 https://arxiv.org/html/2602.16352

Sanket Badhe, Deep Shah, Nehal Kathrotia: Long-Tail Knowledge in Large Language Models: Taxonomy, Mechanisms, Interventions and Implications https://arxiv.org/abs/2602.16201 https://arxiv.org/pdf/2602.16201 https://arxiv.org/html/2602.16201

Aruna Sankaranarayanan, Amir Zur, Atticus Geiger, Dylan Hadfield-Menell: Surgical Activation Steering via Generative Causal Mediation https://arxiv.org/abs/2602.16080 https://arxiv.org/pdf/2602.16080 https://arxiv.org/html/2602.16080

Pedro Reynolds-Cu\'ellar, Marisol Wong-Villacres, Adriana Alvarado Garcia, Heila Precel: From Reflection to Repair: A Scoping Review of Dataset Documentation Tools https://arxiv.org/abs/2602.15968 https://arxiv.org/pdf/2602.15968 https://arxiv.org/html/2602.15968

Qing Yang, Yuhao Jiang, Rui Wang, Jipeng Guo, Yejiang Wang, Xinghe Cheng, Zezheng Wu, Jiapu Wang, Jingwei Zhang: BamaER: A Behavior-Aware Memory-Augmented Model for Exercise Recommendation https://arxiv.org/abs/2602.15879 https://arxiv.org/pdf/2602.15879 https://arxiv.org/html/2602.15879

Diletta Abbonato: CheckIfExist: Detecting Citation Hallucinations in the Era of AI-Generated Content https://arxiv.org/abs/2602.15871 https://arxiv.org/pdf/2602.15871 https://arxiv.org/html/2602.15871

Dhiman Goswami, Jai Kruthunz Naveen Kumar, Sanchari Das: NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey https://arxiv.org/abs/2602.15866 https://arxiv.org/pdf/2602.15866 https://arxiv.org/html/2602.15866

Hong, Kleinman, Mathiowetz, Howes, Cohen, Ganta, Letizia, Liao, Pahari, Roberts-Gaal, Righetti, Torres: Measuring Mid-2025 LLM-Assistance on Novice Performance in Biology https://arxiv.org/abs/2602.16703 https://arxiv.org/pdf/2602.16703 https://arxiv.org/html/2602.16703

Roya Shomali, Nick Freeman, Greg Bott, Iman Dayarian, Jason Parton: Hidden in Plain Sight: Detecting Illicit Massage Businesses from Mobility Data https://arxiv.org/abs/2602.16561 https://arxiv.org/pdf/2602.16561 https://arxiv.org/html/2602.16561

Robert Ranisch, Sabine Salloch: Agentic AI, Medical Morality, and the Transformation of the Patient-Physician Relationship https://arxiv.org/abs/2602.16553 https://arxiv.org/pdf/2602.16553 https://arxiv.org/html/2602.16553

Fabian Walke, Veronika F\"oller: Generative AI Usage of University Students: Navigating Between Education and Business https://arxiv.org/abs/2602.16307 https://arxiv.org/pdf/2602.16307 https://arxiv.org/html/2602.16307