Publications

Sort by: Date | Author | Title

Lassen, I. M. S., Bizzoni, Y., Peura, T., Thomsen, M. R. & Nielbo, K. L. (2022). No Golden Path: A Cautionary Tale of Quality and Biases. Abstract from DARIAH Annual Event 2022, Athen, Greece. https://annualevent.dariah.eu/programme/

Nielbo, K. L., Baglini, R. B., Vahlstrup, P. B., Enevoldsen, K. C., Bechmann, A. & Roepstorff, A. (2021). News Information Decoupling: An Information Signature of Catastrophes in Legacy News Media. Paper presented at EADH2021 "Interdisciplinary Perspectives on Data", Krasnoyarsk, Russian Federation. http://adsabs.harvard.edu/abs/2021arXiv210102956N

Lassche, A., Eriksen, R. S., Nielbo, K. L. & Baunvig, K. L. (2026). News Circulation in Denmark-Norway (1770-1805): Preserving Content Diversity through Topic-Vector Representations. In News Circulation in Denmark-Norway (1770-1805): Preserving Content Diversity through Topic-Vector Representations (1 ed., Vol. 1, pp. 14). https://doi.org/10.5281/zenodo.18835192

Agersnap, A., Johansen, K. H., Schjødt, U., Nielbo, K. L., Kristensen-McLachlan, R. D., Sanita, R. (Ed.), Baklāne, A. (Ed.) & Daugavietis, J. (Ed.) (2020). New Empirical Resources for the Study of Contemporary Preaching: Presenting a Danish Sermon Corpus through Two Cases on Cultural Conformity and Representation of Christian Concepts. 18-22. Abstract from Digital Humanities in the Nordic Countries, Riga, Latvia. https://doi.org/10.5281/zenodo.4313141

Günther, E., Bendschus, T., Deligio, C., Hofmann, K. P., Kipke, M., Langner, M., Reinhardt, C., Rösler, K. & Verstegen, U. (2023). NEUES SEHEN – Aktuelle Ansätze der Digitalen Archäologie in der Objekt- und Bildwissenschaft. Digital Classics Online, Bd. 9 (2023). https://doi.org/10.11588/DCO.2023.9.98489

Bernstorff, M., Vistisen, S. T. & Enevoldsen, K. C. (2024). Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls. Journal of Clinical Monitoring and Computing, 38(2), 241-245. https://doi.org/10.1007/s10877-024-01128-3

Kostiuk, Y., Enevoldsen, K., Vahlstrup, P. B., Kardos, M. & Nielbo, K. (2026). Naturalistic measure of social norms alignment.

Goorney, S. R., Aslan, E., Baskakovs, A., Munoz, B. & Sherson, J. (2026). National Quantum Strategies: A Data-Driven Approach to Understanding the Quantum Ecosystem. In Proceedings - 2026 International Conference on Quantum Communications, Networking, and Computing, QCNC 2026 (pp. 956-961). IEEE. https://doi.org/10.1109/QCNC69040.2026.00157

Andersen, M. N., Schjødt, U., Nielbo, K. L. & Sørensen, J. (2014). Mystical experience in the lab. Method and Theory in the Study of Religion, 26(3), 217-245. https://doi.org/10.1163/15700682-12341323

Hansen, L. B. P., Kostkan, J., Rocca, R. & Nielbo, K. L. (2025). Multimodal Pre-Training of Vision Models Yields Better Embeddings for Visual Art. In Digital Humanities in the Nordic and Baltic Countries Publications (2 ed., Vol. 7) https://doi.org/10.5617/dhnbpub.12286.

Baglini, R. B., Hansen, L., Enevoldsen, K. C. & Nielbo, K. L. (2021). Multilingual Sentiment Normalization for Scandinavian Languages. Skandinaviske Sprogstudier/Scandinavian Studies in Language, 12(1), 50-64. https://doi.org/10.7146/sss.v12i1.130068

Enevoldsen, K., Danielsen, A. A., Rohde, C., Jefsen, O. H., Nielbo, K. L. & Østergaard, S. D. (2021). Monitoring of COVID-19 Pandemic-related Psychopathology using Machine Learning. medRxiv. https://www.medrxiv.org/content/10.1101/2021.07.13.21259962v1

Enevoldsen, K., Danielsen, A. A., Rohde, C., Jefsen, O. H., Nielbo, K. L. & Østergaard, S. D. (2022). Monitoring of COVID-19 pandemic-related psychopathology using machine learning. Acta Neuropsychiatrica, 34(3), 148 - 152. https://doi.org/10.1017/neu.2022.2

Nichols, R., Slingerland, E., Nielbo, K. L., Bergeton, U., Logan, C. & Kleinman, S. (2018). Modeling the contested relationship between Analects, Mencius, and Xunzi: Preliminary evidence from a Machine-Learning Approach. Journal of Asian Studies, 77(1), 19-57. https://doi.org/10.1017/S0021911817000973

Moreira, P. F., Bizzoni, Y., Nielbo, K. L., Lassen, I. M. S. & Thomsen, M. R. (2023). Modeling Readers’ Appreciation of Literary Narratives Through Sentiment Arcs and Semantic Profiles. In N. Akoury, E. Clark, M. Iyyer, S. Chaturvedi, F. Brahman & K. R. Chandu (Eds.), 5th Workshop on Narrative Understanding : Proceedings of the Workshop (pp. 25-35). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.wnu-1.5, https://doi.org/10.18653/v1/2023.wnu-1.5

Feldkamp, P., Kardos, M., Nielbo, K. L. & Bizzoni, Y. (2025). Modeling Multilayered Complexity in Literary Texts. In Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025) (pp. 142). Association for Computational Linguistics. https://aclanthology.org/2025.nodalida-1.15/

Feldkamp, P. & Bizzoni, Y. (2024). Modeling Multilayered Complexity in Literary Texts: A Preliminary Study. Abstract from La complexité en sciences du langage, Paris, France. https://www.sorbonne-nouvelle.fr/la-complexite-en-sciences-du-langage-862471.kjsp?RH=1236178100008

Enevoldsen, K., Chung, I., Kerboua, I., Kardos, M., Mathur, A., Stap, D., Gala, J., Siblini, W., Krzeminski, D., Winata, G. I., Sturua, S., Utpala, S., Ciancone, M., Schaeffer, M., Sequeira, G., Misra, D., Dhakal, S., Rystrøm, J., Solomatin, R. ... Günther, M. (2025). MMTEB: Massive Multilingual Text Embedding Benchmark. In 13th International Conference on Learning Representations, ICLR 2025 (pp. 102004-102060). International Conference on Learning Representations. https://openreview.net/pdf?id=zl3pfz4VCV

Fage-Butler, A., Nielsen, K. H., Ledderer, L. K., Brügger, N., Nielbo, K. L. & Tørring, M. L. (2021). Mistrust of scientific expertise relating to the MMR Vaccine: Exploring the framing of a cultural phenomenon. Abstract from ECREA, Braga, Portugal.

Nielbo, K. L., Nichols, R. & Slingerland, E. (2016). Mining the Past: Data-Intensive Knowledge Discovery in the Study of Historical Textual Traditions. Journal of Cognitive Historiography, 3(1-2). https://doi.org/10.1558/jch.31662

Nielbo, K. L., Nichols, R. & Slingerland, E. (2022). Mining the Past: Data-Intensive Knowledge Discovery in the Study of Historical Textual Traditions. In Studying the Religious Mind - Methodology in the Cognitive Science of Religion (pp. 373-398). Equinox Publishing.

Nielbo, K. L. (2019). Mind the text: traces of mental states in unstructured historical data. In A. K. Petersen, G. I. Sælid, L. H. Martin, J. S. Jensen & J. Sørensen (Eds.), Evolution, cognition, and the history of religion: a new synthesis : festschrift in honour of Armin W. Geertz (pp. 239-251). Brill | Nijhoff.

Karsdorp, F., Nielbo, K. L. & Tilton, L. (2025). Methods-Forward, discipline-agnostic: a CHR 2025 restrospective. Cambridge University Press.

Geertz, A. W., Nielbo, K. L. & van Mulukom, V. (2021). Methodology in the cognitive science of religion. Journal for the Cognitive Science of Religion, 6/1-2(1-2), 5-9. https://doi.org/10.1558/jcsr.42613

Baunvig, K. F. & Nielbo, K. L. (2022). Mermaids are Birds. Text Mining N.F.S. Grundtvig's Bestiary. In Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022)

Baunvig, K. F. & Nielbo, K. L. (2022). Mermaids are Birds: Embedding N.F.S. Grundtvig’s Bestiary. In K. Berglund, M. La Mela & I. Zwart (Eds.), Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022) (Vol. 3232, pp. 23-32). CEUR-WS.org. http://ceur-ws.org/Vol-3232/paper02.pdf

Fage-Butler, A., Nielsen, K. H., Ledderer, L. K., Brügger, N., Nielbo, K. L. & Tørring, M. L. (2021). Mediatized mistrust of scientific expertise relating to MMR vaccination in Danish web archive data. Paper presented at PERITIA: Trust in Expertise in a Changing Media Landscape. https://peritia-trust.eu/wp-content/uploads/2021/03/PERITIA_Media_Conference_Programme-1.pdf

Feldkamp, P., Bizzoni, Y., Thomsen, M. R. & Nielbo, K. L. (2024). Measuring Literary Quality. Proxies and Perspectives. Universitäts- und Landesbibliothek Darmstadt. https://doi.org/10.26083/tuprints-00027391

Obel, C. M., Arnfred, J., Svendsen, K., Breinholm, N., Langkilde, L., Poulsen, S. H. & Layout (Line Ejby Sørensen) (2016). Måling af mental sundhed med spørgeskemaet SDQ: Anvendelse af SDQ i Skolesundhed.dk. Aarhus Universitet.

Lassen, I. M. S., Feldkamp, P., Bizzoni, Y. & Nielbo, K. L. (2024). Literary Canonicity and Algorithmic Fairness: The Effect of Author Gender on Classification Models. CEUR Workshop Proceedings, 3834, 153-171. Article 76. https://ceur-ws.org/Vol-3834/paper76.pdf

Hansen, L., Enevoldsen, K., Bernstorff, M., Perfalk, E. M., Danielsen, A. A., Nielbo, K. L. & Østergaard, S. D. (2022). Lexical Stability of Psychiatric Clinical Notes from Electronic Health Records over a Decade: Lexical Stability of Psychiatric Clinical Notes from Electronic Health Records over a Decade. medRxiv. https://doi.org/10.1101/2022.09.05.22279610

Hansen, L., Enevoldsen, K. C., Bernstorff, M., Perfalk, E. M., Danielsen, A. A., Nielbo, K. L. & Østergaard, S. D. (2023). Lexical Stability of Psychiatric Clinical Notes from Electronic Health Records over a Decade. Acta Neuropsychiatrica, 37, Article e16. https://doi.org/10.1017/neu.2023.46

Eriksen, R. S., Kipke, M., Hansen, L. B. P., Bizzoni, Y., Nielbo, K. L. & Baunvig, K. L. (2026). Levels of Canonicity: A Computational Analysis of Canon Formation in 19th Century Danish Painting. Digital Humanities in the Nordic and Baltic Countries Publications, 8(1). https://doi.org/10.5617/dhnbpub.13200

Yoon, S., Houlasou, M., Brennan, E. E., Nielbo, K. L. & Leonard, P. (2016). Language and Culture. In Culture Analytics White Paper Series for Institute of Pure and Applied Mathematics (UCLA) http://www.ipam.ucla.edu/reports/white-papers-culture-analytics/

Sørensen, J. & Nielbo, K. L. (2015). Kognitiv Religionsvidenskab. In A. W. Geertz & T. Jensen (Eds.), Religionsforskningen før og nu II: Nyere tid (1 ed., Vol. 1, pp. 469-509). Gyldendal.

Baunvig, K. F. & Nielbo, K. L. (2017). Kan man validere et selvopgør? In P. Henrikson, M. Malm & P. Söderlund (Eds.), Textkritik som analysmetod: bidrag till konferens anordnad av Nordiskt nätverk för editionsfilologer 2-4 oktober 2015 Svenske Vitterhetssamfundet.

Kipke, M., Brinkmeyer, L., Langner, M. & Schmidt-Thieme, L. (2025). "I was painted by...": A Case Study on the Use of CNNs for Image Classification in the Humanities. Digital Humanities Quarterly, 19(3). https://dhq.digitalhumanities.org/vol/19/3/000789/000789.html

de Soto, P., Pažout, A., Brughmans, T., Vahlstrup, P. B., Auir, Á., Bongers, T., Christoffersen, J. E. B., Crépy, M., Johansen, M. H., Lewis, J., Manière, L., Massa, M. R., Møller, L. M. H., Redon, B., Renda, G., Şahin, H., Sobotková, A., Spatzek, A. L., Verhagen, P. & Weissova, B. (2025). Itiner-e: A high-resolution dataset of roads of the Roman Empire. Scientific Data, 12(1), Article 1731. https://doi.org/10.1038/s41597-025-06140-z

Lyngbaek, L., Feldkamp, P., Bizzoni, Y., Nielbo, K. & Enevoldsen, K. (2026). Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors. In J. Barnes, V. Barriere, O. De Clercq, R. Klinger, C. Nouri, D. Nozza & P. Singh (Eds.), WASSA 2026 - 15th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop (pp. 146-160). Association for Computational Linguistics. https://doi.org/10.18653/v1/2026.wassa-1.13

Nielbo, K. L. (2011, Jan 19). Investigating Ritualized Behavior: Spontaneous & hierarchical processing of non-functional events. http://www.mindlab.au.dk/medias/media86.jpg

Waade, P. T., Enevoldsen, K. C., Vermillet, A.-Q., Simonsen, A. & Fusaroli, R. (2023). Introducing tomsup: Theory of Mind Simulations Using Python. Behavior Research Methods, 55(5), 2197-2231. https://doi.org/10.3758/s13428-022-01827-2

Nielbo, K. L., Baglini, R. B. & Roepstorff, A. (2022). Information Decoupling as a Pandemic Signature in News Media. Abstract from Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022), Uppsala, Sweden. https://dhnb.eu/wp-content/uploads/2022/03/DHNB2022_book_of_abstracts.pdf

Dalsgaard, J. & Sørensen, L. E. (2017). Indsatser der fremmer ældres mentale sundhed: Et systematisk litteraturstudie af internationale undersøgelser. In Indsatser der fremmer ældres mentale sundhed: Et systematisk litteraturstudie af internationale undersøgelser https://www.sst.dk/da/udgivelser/2017/indsatser-der-fremmer-aeldres-mentale-sundhed

Legrand, N. M. S., Enevoldsen, K., Kardos, M. & Nielbo, K. L. (2026). Improving reasoning at inference time via uncertainty minimisation. ArXiv. https://doi.org/10.48550/arXiv.2603.07159

Kratschmer, A. R. & Bizzoni, Y. (2025). Il discorso sui vaccini COVID in Italia e in Francia: il roll out vissuto su Facebook. In H. Jansen, P. Schwarz-Lausten & E. Strudsholm (Eds.), Panorama attuale dell'italianistica in Scandinavia. Atti del XIII Congresso degli Italianisti Scandinavi Università di Copenaghen, 7-9 giugno 2023 (pp. 267-282). Franco Cesati Editore.

Jensen, J. L., Vahlstrup, P. B. & Bechmann, A. (2019). How to Compare Different Social Media: A Conceptual and Technical Framework. In J. Hunsinger, M. M. Allen & L. Klastrup (Eds.), Second International Handbook of Internet Research (pp. 799-814). Springer Nature. https://doi.org/10.1007/978-94-024-1555-1_32

Jensen, J. L., Vahlstrup, P. B. & Bechmann, A. (2018). How to compare different social media: A conceptual and technical framework. In J. Hunsinger, L. Klastrup & M. M. Allen (Eds.), Second International Handbook of Internet Research Springer. https://link.springer.com/referenceworkentry/10.1007%2F978-94-024-1202-4_32-1

Sørensen, J. & Nielbo, K. L. (2019). How do humans process ritualized actions? In J. Slone & W. McCorkle (Eds.), The Cognitive Science of Religion: A Methodological Introduction to Key Empirical Studies Bloomsbury Academic.

Nielbo, K. L., Schjødt, U. & Sørensen, J. (2013). Hierarchical organization of segmentation in non-functional action sequences. Journal for the Cognitive Science of Religion, 1(1), 71-97.

Displaying results 101 to 150 out of 251

Revised 30.08.2023