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Brøgger, M. N., Nielbo, K. L. & Fage-Butler, A. (2020). #Detkuhaværetmig:How Twitter enabled the expression and propagation of solidarity among healthcare professionals. Abstract from Communication, Medicine and Ethics (COMET) - Aalborg. https://www.communication.aau.dk/digitalAssets/840/840452_-brgger_nielbo_fage-butler-detkuhavretmig-how_twitter_enabled_the_expression_and_propagation_of_solidarity_among_healthcare_professionals.pdf
Brøgger, M. N., Nielbo, K. L. & Fage-Butler, A. (2021). #detkuhaværetmig: How Twitter enabled the expression and propagation of solidarity among healthcare professionals. Conjunctions : transdisciplinary journal of cultural participation, 8(1). https://doi.org/10.7146/tjcp.v8i1.123040
Borcak, L. M. W., Eriksen, R. S., Agersnap, A., Olsen, J. S., Steffensen, N. V., Nielsen, J. A., Bjerre, E., Borcak, F. W. & Lieberoth, A. (2026). Sang i skolen – en national kortlægning. Aarhus Universitet & Københavns Universitet. Rapporter https://doi.org/10.7146/79wtzr50
Bizzoni, Y., Peura, T., Thomsen, M. R. & Nielbo, K. L. (2021). Sentiment Dynamics of Success: Fractal Scaling of Story Arcs Predicts Reader Preferences.
Bizzoni, Y., Peura, T., Thomsen, M. R. & Nielbo, K. L. (2022). Fractal Sentiments and Fairy Tales: Fractal scaling of narrative arcs as predictor of the perceived quality of Andersen's fairy tales. Journal of Data Mining & Digital Humanities, NLP4DH. https://doi.org/10.46298/jdmdh.9154
Bizzoni, Y., Thomsen, M. R., Lassen, I. M. S. & Nielbo, K. L. (2022). Correlations between GoodReads Appreciation and the Sentiment Arc Fractality of the Grimm brothers' Fairy Tales. In Proceedings of the Computational Humanities Research Conference 2022 (Vol. 3290, pp. 374-386). CEUR-WS.org. https://ceur-ws.org/Vol-3290/short_paper9235.pdf
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
Bizzoni, Y., Moreira, P., Dwenger, N., Lassen, I., Thomsen, M. & Nielbo, K. (2023). Good Reads and Easy Novels: Readability and Literary Quality in a Corpus of US-published Fiction. In T. Alumäe & M. Fishel (Eds.), Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) (pp. 42-51). University of Tartu Library. https://aclanthology.org/2023.nodalida-1.5
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
Bizzoni, Y., Moreira, P. F., Thomsen, M. R. & Nielbo, K. L. (2023). The Fractality of Sentiment Arcs for Literary Quality Assessment: the Case of Nobel Laureates. Journal of Data Mining & Digital Humanities, NLP4DH. https://doi.org/10.46298/jdmdh.11406
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
Bizzoni, Y. & Feldkamp, P. (2024). Below the Sea (with the Sharks): Probing Textual Features of Implicit Sentiment in a Literary Case-study. In V. Pyatkin, D. Fried, E. Stengel-Eskin, A. Liu & S. Pezzelle (Eds.), The Third Workshop on Understanding Implicit and Underspecified Language: Proceedings of the Workshop (pp. 54-61). Association for Computational Linguistics (ACL). https://aclanthology.org/2024.unimplicit-1.5
Bizzoni, Y., Feldkamp, P., Lassen, I. M. S., Thomsen, M. R. & Nielbo, K. L. (2024). A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 789-800). European Language Resources Association (ELRA). https://aclanthology.org/2024.lrec-main.71
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
Bizzoni, Y. & Feldkamp, P. (2023). Comparing Transformer and Dictionary-based Sentiment Models for Literary Texts: Hemingway as a Case-study. 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. 219-228). Association for Computational Linguistics. https://aclanthology.org/2023.nlp4dh-1.25
Bizzoni, Y., Feldkamp, P. & Nielbo, K. L. (2024). Global Coherence, Local Uncertainty: Towards a Theoretical Framework for Assessing Literary Quality. In W. Haverals, M. Koolen & L. Thompson (Eds.), Proceedings of the Computational Humanities Research Conference 2024 (Vol. 3834, pp. 172-185). Article 36 CEUR-WS.
Bizzoni, Y., Feldkamp, P. & Nielbo, K. L. (2025). Effects of Publicity and Complexity in Reader Polarization. In Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities (pp. 138). Association for Computational Linguistics. https://aclanthology.org/2025.nlp4dh-1.13/
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. & Feldkamp, P. (2026). The Daring Case of the Universal Canon. Abstract from Mapping the Canon, Darmstadt.
Bilstrup, K. E. K., Kaspersen, M. H., Assent, I., Enni, S. & Petersen, M. G. (2022). From Demo to Design in Teaching Machine Learning. In Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 (pp. 2168-2178). Association for Computing Machinery. https://doi.org/10.1145/3531146.3534634
Bernstorff, M., Enevoldsen, K., Damgaard, J., Danielsen, A. A. & Hansen, L. (2023). timeseriesflattener: A Python package for summarizing features from (medical) time series. The Journal of Open Source Software, 8(83), Article 5197. https://doi.org/10.21105/joss.05197
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
Bernstorff, M., Hansen, L., Enevoldsen, K., Damgaard, J., Hæstrup, F., Perfalk, E., Danielsen, A. A. & Østergaard, S. D. (2025). Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness. Acta Psychiatrica Scandinavica, 151(3), 245-258. https://doi.org/10.1111/acps.13687
Bechmann, A. & Vahlstrup, P. B. (2013). Digital Footprint Analytics. Software
Bechmann, A. & Vahlstrup, P. B. (2015). Private Facebook data patterns in a broad national sample. Abstract from Eastern Sociological Society, New York, United States.
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
Bechmann, A. & Nielbo, K. L. (2017). Are We Consuming the Same News? An Empirical Analysis of Information Similarity for Danish Facebook Users. Paper presented at Future of Journalism 2017, Cardiff, United Kingdom.
Bechmann, A. & Nielbo, K. L. (2018). Are We Exposed to the Same “News” in the News Feed? An empirical analysis of filter bubbles as information similarity for Danish Facebook users. Digital Journalism, 6(8), 990–1002. https://doi.org/10.1080/21670811.2018.1510741
Bechmann, A., Nielbo, K. L., Keller, T., Graham, T., Angus, D., Bruns, A., Nijmeijer, R., Neudard, L.-M., Marchal, N., bradshaw, S., Rossini, P., Stromer-Galley, J., Baptista, E. A. & Veiga de Oliveira, V. (2020). 'Coordinated inauthentic behaviour' and other online influence operations in social media spaces. In AoIR Selected Papers of Internet Research (Vol. 2020). AoIR (The International Association of Internet Researchers). http://10.5210/spir.v2020i0.11132
Baunvig, K. F., Nielbo, K. L., Liu, B. & Gao, J. (2019). A curious case of entropic decay: Persistent complexity in textual cultural heritage. Digital Scholarship in the Humanities, 34(3), 542-557. Article fqy054. https://doi.org/10.1093/llc/fqy054
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.
Baunvig, K. F., Jarvis, O. & Nielbo, K. L. (2020). Emotional Imprints: Letter-Spacing in N.F.S. Grundtvig's Writings. In S. Reinsone, I. Skadina, A. Baklāne & J. Daugavietis (Eds.), CEUR Workshop Proceedings: Proceedings of the Digital Humanities in the Nordic Countries 5th Conference (Vol. 2612, pp. 192-202). CEUR-WS.org. http://ceur-ws.org/Vol-2612/short3.pdf
Baunvig, K. F., Jarvis, O. & Nielbo, K. L. (2021). Emotional Imprints: Exclamation Marks in N.F.S. Grundtvig's Writings. In S. Reinsone, I. Skadiņa, J. Daugavietis & A. Baklāne (Eds.), Post-Proceedings of the 5th Conference Digital Humanities in the Nordic Countries (DHN 2020) (pp. 156-169) http://ceur-ws.org/Vol-2865/short7.pdf
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). 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. & 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
Baunvig, K. F. & Nielbo, K. L. (2023). Benign Structures: The Worldview of Danish National Poet, Pastor, and Politician N.F.S. Grundtvig (1783-1872). In S. Gilbert & A. Rockenberger (Eds.), Book of Abstracts: Sustainability: Environment, Community, Data (pp. 9-11). Oslo Universitet.
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. & Nielbo, K. L. (2023). Benign Structures: The Worldview of Danish NationalPoet, Pastor, and Politician N.F.S. Grundtvig (1783-1872). In A. Rockenberger, J. Tiemann & S. Gilbert (Eds.), Conference Proceedings : DHNB2023 (pp. 1-10). Article 1 Universitetsforlaget, Oslo. https://doi.org/10.5617/dhnbpub.10646
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
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
Baskakovs, A., Estebe, S., Enevoldsen, K., Nielbo, K., Mathys, C. & Legrand, N. (2026). Closed-form predictive coding via hierarchical Gaussian filters.
Banellis, L., Nikolova, N., Brændholdt , M., Vejlø, M., Rebollo, I., Legrand, N. M. S., Fardo, F., Smallwood, J. & Allen, M. (2026). Uncovering the embodied dimension of the wandering mind. Proceedings of the National Academy of Sciences (PNAS), 123(13), e2520822123. Article e2520822123. https://doi.org/10.1073/pnas.2520822123
Bak Herrie, M. & Enni, S. (Accepted/In press). A Different View: Investigating Image Collections with Juxtapositional Inpainting. Leonardo.
Baglini, R. B., Nielbo, K. L., Hæstrup, F., Enevoldsen, K., Vahlstrup, P. B. & Roepstorff, A. (2021). When no news is bad news: Detection of negative events from news media content. Abstract from Digital Humanities Benelux , Leiden, Belgium.
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
Baglini, R. B., Østergaard, S. M., Larsen, S. N. & Nielbo, K. L. (2022). Emodynamics: Detecting and Characterizing Pandemic Sentiment Change Points on Danish Twitter. In Proceedings of the Computational Humanities Research Conference 2022 (Vol. 3290, pp. 162-176). CEUR-WS.org. https://ceur-ws.org/Vol-3290/short_paper4765.pdf
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
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
Andersen, C. U., Bechmann, A., Brügger, N., Brynskov, M., Holst, M. K., Markham, A., Møldrup-Dalum, P., Nielbo, K. L. & Thomsen, M. R., (2016). A Digital Strategy for Arts: Digital Arts’ White Paper on AU’s Digital Strategy 2016, 4 p., Aug 31, 2016.

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Revised 30.08.2023