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1. Defining the Problem, Setting the Standard? Platform Narratives and Interventions for Digital Well-Being
   Conference on Fairness, Accountability and Transparency2026-06-25S2
2. AI Fiction in the Wild
   arXiv.org2026-06-22alphaXiv arXiv S2
3. Characterizing Narrative Content in Web-scale LLM Pretraining Data
   arXiv.org2026-06-17alphaXiv arXiv S2
4. A reporting checklist for large language models in behavioural science
   Nature Human Behaviour2026-06-09S2
5. Computational hermeneutics: evaluating generative AI as a cultural technology
   Frontiers Artif. Intell.2026-02-26alphaXiv arXiv S2
6. LLM-Generated or Human-Written? Comparing Review and Non-Review Papers on ArXiv
   arXiv.org2026-01-19alphaXiv arXiv S2
7. Social Story Frames: Contextual Reasoning about Narrative Intent and Reception
   Annual Meeting of the Association for Computational Linguistics2025-12-17alphaXiv arXiv S2
8. so much depends / upon / a whitespace: Why Whitespace Matters for Poets and LLMs
   Conference on Empirical Methods in Natural Language Processing2025-10-19alphaXiv arXiv S2
9. Epistemic Diversity and Knowledge Collapse in Large Language Models
   arXiv.org2025-10-05alphaXiv arXiv S2
10. Introducing the Anthology for Computers and the Humanities
    Anthology of Computers and the Humanities2025-09-25S2
11. Research Borderlands: Analysing Writing Across Research Cultures
    Annual Meeting of the Association for Computational Linguistics2025-06-01alphaXiv arXiv S2
12. Evaluation of Cultural Competence of Vision-Language Models
    2025-05-28alphaXiv arXiv S2
13. Meaning Is Not A Metric: Using LLMs to make cultural context legible at scale
    arXiv.org2025-05-23alphaXiv arXiv S2
14. Multi-Modal Framing Analysis of News
    Conference on Empirical Methods in Natural Language Processing2025-03-26alphaXiv arXiv S2
15. Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
    North American Chapter of the Association for Computational Linguistics2025-03-15alphaXiv arXiv S2
16. Provocations from the Humanities for Generative AI Research
    arXiv.org2025-02-26alphaXiv arXiv S2
17. Automatic Detection of Research Values from Scientific Abstracts Across Computer Science Subfields
    arXiv.org2025-02-23alphaXiv arXiv S2
18. Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory
    arXiv.org2025S2
19. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming
    Annual Meeting of the Association for Computational Linguistics2025S2
20. Clinician as editor: notes in the era of AI scribes.
    The Lancet2024-11-01S2
21. LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
    arXiv.org2024-10-30alphaXiv arXiv S2
22. CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming
    2024-10-03alphaXiv arXiv S2
23. The Empirical Variability of Narrative Perceptions of Social Media Texts
    Conference on Empirical Methods in Natural Language Processing2024S2
24. CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs
    arXiv.org2024S2
25. Reception History in Many Dimensions: New Research on Book Reviews
    Digital Humanities Conference2023S2
26. “ Don’t Take This Out of Context! ” On the Need for Contextual Models and Evaluations for Stylistic Rewriting
    S2