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Work Cited (121/67) -- Contemporary Digital Humanities

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Work Cited

Work Cited Arnold, T., & Tilton, L. (2019). New Data? The Role of Statistics in DH. Debates in the Digital Humanities. Barzen, J. (2021). From Digital Humanities to Quantum Humanities: Potentials and Applications. ArXiv Preprint ArXiv:2103.11825. Benito-Santos, A., & Therón Sánchez, R. (2020). Defragmenting Research Areas with Knowledge Visualization and Visual Text Analytics. Applied Sciences, 10(20), 7248. Bornhofen, S., & Düring, M. (2020). Exploring dynamic multilayer graphs for digital humanities. Applied Network Science, 5(1), 1–13. Brüggemann, V., Bludau, M.-J., & Dörk, M. (2020). The fold: Rethinking interactivity in data visualization. DHQ, 14(3). Butt, M., & Beck, C. (2020). Visual analytics for historical linguistics: opportunities and challenges. Journal of Data Mining & Digital Humanities. Colavizza, G., Blanke, T., Jeurgens, C., & Noordegraaf, J. (2021). Archives and AI: An Overview of Current Debates and Future Perspectives. ArXiv Preprint ArXiv:2105.01117. Coltrain, J., & Ramsay, S. (2019). Can Video Games Be Humanities Scholarship? Debates in the Digital Humanities, Edited by Matthew K. Gold, 36–45. de Sá Pereira, M. P. (2019). Mixed Methodological Digital Humanities. MK Gold and LF Klein (Eds.), Debates in the Digital Humanities 2019. University of Minnesota Press, Minneapolis (2019): 405, 412. Dobson, J. (2021). Interpretable Outputs: Criteria for Machine Learning in the Humanities. Digital Humanities Quarterly, 15(2). Drucker, J., & Bishop, C. (2019). A Conversation on Digital Art History. Debates in the Digital Humanities, Edited by Matthew K. Gold, 321–334. Duca, A. lo, Bacciu, C., & Marchetti, A. (2020). The Use of Blockchain for Digital Archives: a comparison between Ethereum and Hyperledger (AIUCD 2019). Umanistica Digitale, 8. Filipov, V., Schetinger, V., Raminger, K., Soursos, N., Zapke, S., & Miksch, S. (2021). Gone full circle: A radial approach to visualize event-based networks in digital humanities. Visual Informatics, 5(1), 45–60. Fletcher, C. (2019). Educational Technology and the Humanities: A History of Control. Debates in the Digital Humanities. Goldstone, A. (2019). Teaching Quantitative Methods: What Makes It Hard (in Literary Studies). Debates in the Digital Humanities 2019. Hedges, M., Stuart, D., Tzedopoulos, G., Bassett, S., Garnett, V., Giacomi, R., & Sanesi, M. (2019). Digital Humanities Foresight: The future impact of digital methods, technologies and infrastructures. GOEDOC, Dokumenten-und Publikationsserver der Georg-August-Universität Göttingen. Hyvönen, E. (2020). Using the Semantic Web in Digital Humanities: Shift from data publishing to data-analysis and serendipitous knowledge discovery. Semantic Web, 11(1), 187–193. Lipton, Z. C. (2018). The Mythos of Model Interpretability: In machine learning, the concept of interpretability is both important and slippery. Queue, 16(3), 31–57. Long, H., & So, R. J. (2016). Literary pattern recognition: Modernism between close reading and machine learning. Cri
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