Publications

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Bechmann, A. & Vahlstrup, P. B. (2015). Studying Facebook and Instagram data: The Digital Footprints software. First Monday, 20(12). https://doi.org/10.5210/fm.v20i12.5968

Nielbo, K. L. & Eilam, D. (2015). Stuck in the loop: Classification of Ritualized Motor Patterns in OCD and Controls. Poster session presented at CERC Second Plenary Meeting, Montreal, Canada.

Nielbo, K. L., Fux, M., Mort, J., Zamir, R. & Eilam, D. (2017). Structural Differences Among Individuals, Genders and Generations as the Key for Ritual Transmission, Stereotypy, and Flexibility. Behaviour, 154(1), 93 –114. https://doi.org/10.1163/1568539X-00003412

Baunvig, K. F. & Nielbo, K. L. (2022). Storytelling in the Tides of Enchantment: Embedding Re-enchantment in Danish, Nineteenth-Century Christianity. Abstract from DARIAH Annual Event 2022, Athen, Greece. https://annualevent.dariah.eu/programme/

Baunvig, K. F., Møldrup-Dalum, P., Rasmussen, K. S. G. & Vad, K. (2023). Storage Over Rendition: Towards a Sustainable Infrastructure in the Digital Textual Heritage Sector. In S. Gilbert & A. Rockenberger (Eds.), Book of Abstracts: Sustainability: Environment, Community, Data (pp. 77-78). Oslo Universitet.

Baunvig, K. F., Rasmussen, K. S. G., Vad, K. & Møldrup-Dalum, P. (2023). Storage over Rendition: Call for a Sustainable Infrastructure in the Digital Textual Heritage Sector with a Particular Interest in Digital Scholarly Editions . In A. Rockenberger, J. Tiemann & S. Gilbert (Eds.), Conference Proceedings : DHNB2023 (pp. 240-247). Universitetsforlaget, Oslo. https://doi.org/10.5617/dhnbpub.10667

Kardos, M., Kostkan, J., Vermillet, A.-Q., Nielbo, K., Enevoldsen, K. & Rocca, R. (2024). S³ – Semantic Signal Separation.

Kardos, M., Kostkan, J., Enevoldsen, K., Vermillet, A. Q., Nielbo, K. & Rocca, R. (2025). S³ - Semantic Signal Separation. In W. Che, J. Nabende, E. Shutova & M. T. Pilehvar (Eds.), Long Papers (pp. 633-666). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.acl-long.32

Nielbo, K. L. & Sørensen, J. (2012). Spontaneous segmentation and hierarchical alignment during perception of functional and non-functional events. http://www.mindlab.au.dk/medias/media200.jpg

Nielbo, K. L. & Sørensen, J. (2011). Spontaneous processing of functional and non-functional action sequences. Religion, Brain, and Behavior, 1(1), 18-30. https://doi.org/10.1080/2153599X.2010.550722

Nielbo, K. L. (2012). Spontaneous and Hierarchical Segmentation of Non-functional Events.

Geertz, A. W. (Ed.), Nielbo, K. L. (Ed.) & McKay, R. (2016). Special issue on evolutionary theories of religion. Equinox Publishing. Journal for the Cognitive Science of Religion Vol. 4 No. 1

Bizzoni, Y., Moreira, P. F., Lassen, I. M. S., Nielbo, K. L. & Thomsen, M. R. (2023). Some Nobel Laureates Are More Coherent Than Others: Measuring Literary Quality in a Corpus of High Prestige Contemporary Literature. 116-117. Abstract from 7th Conference Digital Humanities in the Nordic and Baltic Countries, Oslo, Norway. https://doi.org/10.5281/zenodo.7670464

Nielbo, K. L., Vahlstrup, P. B. & Bechmann, A. (2020). Sociocultural trend signatures in minimal persistence and past novelty. Abstract from DH2020, Ottawa, Ontario, Canada.

Nissen, I. A., Mortensen, M. D., Sala, M., Walter, J. G., Charquero-Ballester, M., Sørensen, M. H., Nielbo, K. L. & Bechmann, A. (2021). Social media analysis with a focus on human rights on the internet. NGI FORWARD - H2020. https://doi.org/10.5281/zenodo.5795341

Rosendahl Thomsen, M., Lassen, I. M. S. & Nielbo, K. L. (2022). Skridt på vej mod fairness i litteraturkritik. Information, 3. sektion (bogtillæg), 15-15.

Henriksen, A., Enni, S. & Bechmann, A. (2021). Situated Accountability: Ethical Principles, Certification Standards, and Explanation Methods in Applied AI. In AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 574-585). Association for Computing Machinery. https://doi.org/10.1145/3461702.3462564

Lassen, I. M. S., Bjerring, J. C. & Nielbo, K. L. (2025). Silencing in data science practices. Big Data & Society, 12(3), 1-13. Article 20539517251365228. https://doi.org/10.1177/20539517251365228

Agersnap, A., Kristensen-McLachlan, R. D., Johansen, K. H., Schjødt, U. & Nielbo, K. L. (2020). Sermons as data: Introducing a corpus of 11,955 Danish sermons. Cultural Analytics, 12(2), 1-27. https://doi.org/10.22148/001c.18238

Bizzoni, Y., Peura, T., Thomsen, M. R. & Nielbo, K. L. (2021). Sentiment Dynamics of Success: Fractal Scaling of Story Arcs Predicts Reader Preferences.

Feldkamp, P., Overgaard, E. L., Nielbo, K. L. & Bizzoni, Y. (2024). Sentiment Below the Surface: Omissive and Evocative Strategies in Literature and Beyond. In Computaitonal Humanities Research 2024: Proceedings of the Computational Humanities Research Conference 2024 (Vol. 3834, pp. 681-706). Article 98 https://ceur-ws.org/Vol-3834/paper98.pdf

Bizzoni, Y. & Feldkamp, P. (2024). Sentiment Analysis for Literary Texts: Hemingway as a Case-study. Journal of Data Mining & Digital Humanities, NLP4DH, Article 13155. https://doi.org/10.46298/jdmdh.13155

Bizzoni, Y., Moreira, P. F., Thomsen, M. R. & Nielbo, K. L. (2023). Sentimental Matters Predicting Literary Quality with Sentiment Analysis and Stylistic Features. In J. Barnes, O. De Clercq & R. Klinger (Eds.), Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (pp. 11-18). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.wassa-1.2

Nielbo, K. L., Andersen, M. M. & Schjødt, U. (2017). Segmentation and cultural modulation in perception of internal events are not trivial matters. Religion, Brain, and Behavior, 7(1), 77-79. https://doi.org/10.1080/2153599X.2016.1150329

Hicke, R. M. M., Bizzoni, Y., Feldkamp, P. & Kristensen-McLachlan, R. D. (2025). Says Who? Effective Zero-Shot Annotation of Focalization. In T. Arnold, M. Fantoli & R. Ros (Eds.), Anthology of Computers and the Humanities: Computational Humanities Research 2025 (Vol. 3, pp. 738-754). Association for Computers and the Humanities. https://doi.org/10.63744/xxqzxENxsh3b

Baun, P. S. & Nielbo, K. L. (2022). Right-wing Mnemonics. In Proceedings of the Computational Humanities Research Conference 2022 (Vol. 3290, pp. 152-161). CEUR-WS.org. https://ceur-ws.org/Vol-3290/short_paper6153.pdf

Lassen, I. M. S., Bizzoni, Y., Peura, T., Thomsen, M. R. & Nielbo, K. L. (2022). Reviewer Preferences and Gender Disparities in Aesthetic Judgments. CEUR Workshop Proceedings, 3290, 280-290. https://ceur-ws.org/Vol-3290/short_paper1885.pdf

Lassche, A., Eriksen, R. S., Feldkamp, P., Heinsen, J., Baunvig, K. L. & Nielbo, K. L. (2025). Reading Beyond the Center. Modeling Book Encounters in the Danish Periphery (1800-1850). In Anthology of Computers and the Humanities (Vol. 3, pp. 95-118) https://doi.org/10.63744/YxKHrB4ZCThp

Bizzoni, Y., Feldkamp, P., Lassen, I. M. S., Rosendahl Thomsen, M. & Nielbo, K. (2023). Readability and Complexity: Diachronic Evolution of Literary Language Across 9000 Novels. In M. Hämäläinen, E. Öhman, F. Pirinen, K. Alnajjar, S. Miyagawa, Y. Bizzoni, N. Partanen & J. Rueter (Eds.), Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages (pp. 235-247). Association for Computational Linguistics. https://aclanthology.org/2023.nlp4dh-1.27

Nielbo, K. L., Karsdorp, F., Wevers, M., Lassche, A., Baglini, R. B., Kestemont, M. & Tahmasebi, N. (2024). Quantitative text analysis. Nature Reviews Methods Primers, 4(25), Article 25. https://doi.org/10.1038/s43586-024-00302-w

Lassche, A. & Nielbo, K. (2022). Proceedings of the Computational Humanities Research Conference 2022: Preface. CEUR Workshop Proceedings, 3290, V-VI.

Bechmann, A. & Vahlstrup, P. B. (2015). Private Facebook data patterns in a broad national sample. Abstract from Eastern Sociological Society, New York, United States.

Andersen, M. M., Nielbo, K. L., Schjødt, U., Pfeiffer, T., Roepstorff, A. & Sørensen, J. (2019). Predictive Minds in Ouija Board Sessions. Phenomenology and the Cognitive Sciences, 18(3), 577-588. https://doi.org/10.1007/s11097-018-9585-8

Nielbo, K. L. & Sørensen, J. (2013). Prediction Error During Functional and Non-Functional Action Sequences: A computational Exploration of Ritual and Ritualized Event Processing. Journal of Cognition and Culture, 13(3-4), 347–365. https://doi.org/10.1163/15685373-12342098

Danielsen, A. A., Fenger, M. H. J., Østergaard, S. D., Nielbo, K. L. & Mors, O. (2019). Predicting Mechanical Restraint of Psychiatric Inpatients by Applying Machine Learning on Electronic Health Data. Acta Psychiatrica Scandinavica, 140(2), 147-157. https://doi.org/10.1111/acps.13061

Bizzoni, Y., Lassen, I. M. S., Peura, T., Thomsen, M. R. & Nielbo, K. L. (2022). Predicting Literary Quality - How Perspectivist Should We Be? In 1st Workshop on Perspectivist Approaches to Disagreement in NLP, NLPerspectives 2022 as part of Language Resources and Evaluation Conference, LREC 2022 Workshop (pp. 20-25). European Language Resources Association. http://lrec-conf.org/proceedings/lrec2022/workshops/NLPerspectives/pdf/2022.nlperspectives-1.3.pdf

Hansen, L., Bernstorff, M., Enevoldsen, K., Kolding, S., Damgaard, J. G., Perfalk, E., Nielbo, K. L., Danielsen, A. A. & Østergaard, S. D. (2025). Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning. Archives of General Psychiatry, 82(5), 459-469. https://doi.org/10.1001/jamapsychiatry.2024.4702

Nielbo, K. L. & Gao, J. (2020). Persistent News: The Information Dynamics of Nordic Newspapers. https://centre-for-humanities-computing.github.io/Nordic-Digital-Humanities-Laboratory/portfolio/news_c19_method/

Lassen, I. M. S., Moreira, P. F., Bizzoni, Y., Thomsen, M. R. & Nielbo, K. L. (2023). Persistence of Gender Asymmetries in Book Reviews Within and Across Genres. CEUR Workshop Proceedings, 3558, 14-28.

Wu, Y., Bizzoni, Y., Moreira, P. F. & Nielbo, K. L. (2024). Perplexing Canon: A study on GPT-based perplexity for canonical and non-canonical literary works. In Y. Bizzoni, S. Degaetano-Ortlieb, A. Kazantseva & S. Szpakowicz (Eds.), Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024) (pp. 172–184). Association for Computational Linguistics. https://aclanthology.org/2024.latechclfl-1.16.pdf

Jacobsen, M., Bizzoni, Y., Moreira, P. F. & Nielbo, K. L. (2024). Patterns of Quality: Comparing Reader Reception Across Fanfiction and Commercially Published Literature. In 2024 Computational Humanities Research Conference, CHR 2024 (Vol. 3834, pp. 718-739)

Brughmans, T., Heřmánková, P., Mazzamurro, M., Vahlstrup, P. B. & Møldrup-Dalum, P. (2025). Past Networks: The Open Online Repository Portal for Network Data about the Human Past. https://pastnetworks.org/

Osmundsen, M., Bor, A., Vahlstrup, P. B., Bechmann, A. & Petersen, M. B. (2021). Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitter. American Political Science Review, 115(3), 999-1015. https://doi.org/10.1017/S0003055421000290

Nielbo, K. L., Enevoldsen, K., Baglini, R. B., Fano, E., Roepstorff, A. & Gao, J. (2023). Pandemic news information uncertainty: News dynamics mirror differential response strategies to COVID-19. PLoS One, 18(1 ), Article e0278098. https://doi.org/10.1371/journal.pone.0278098

Andersen, M. M., Nielbo, K. L., Schjødt, U., Pfeiffer, T., Roepstorff, A. & Sørensen, J. (2017). OuijaCon Dataset. Dataset, OSFHOME. https://doi.org/10.17605/OSF.IO/HCB83

Nielbo, K. L., Kostkan, J., Baunvig, K. F., Borisova, E. & Geertz, A. W. (2023). Oscillation between Contemplation and Revelation: Recurrence and Change in the Life History of Teresa of Ávila. In A. Šeļa, F. Jannidis & I. Romanowska (Eds.), Computational Humanities Research 2023: Proceedings of the Computational Humanities Research Conference 2023 (Vol. 3558, pp. 715-733). CEUR-WS.org. https://ceur-ws.org/Vol-3558/paper8108.pdf

Andersen, M. M., Nielbo, K. L. & Schjødt, U. (2017). Old problems die hard. Religion, Brain, and Behavior, 7(1), 63-65. https://doi.org/10.1080/2153599X.2016.1150331

Kostkan, J., Kardos, M., Mortensen, J. P. B. & Nielbo, K. L. (2023). OdyCy – A general-purpose NLP pipeline for Ancient Greek. In S. Degaetano-Ortlieb, A. Kazantseva, N. Reiter & S. Szpakowicz (Eds.), Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL2023) (pp. 128–134). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.latechclfl-1.14

Moreira, P. F., Bizzoni, Y., Öhman, E. & Nielbo, K. L. (2023). Not just Plot(ting): A Comparison of Two Approaches for Understanding Narrative Text Dynamics. CEUR Workshop Proceedings, 3558, 191-205. Article 1603.

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Revised 30.08.2023