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Center for Humanities Computing

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Vrangbæk, E. E. H. & Nielbo, K. L. (2021). Composition and Change in De Ciuitate Dei: A Case Study of Computationally Assisted Methods. In A. Dupont & G. Partoens (Eds.), Papers presented at the Eighteenth International Conference on Patristic Studies held in Oxford 2019 (Vol. 14: Augustine of Hippo's De ciuitate Dei: Content, Transmission, and Interpretations, pp. 149-164). Peeters. https://doi.org/10.2307/j.ctv27vt566.14

Enevoldsen, K., Hansen, L. & Nielbo, K. L. (2021). DaCy: A Unified Framework for Danish NLP. ArXiv. https://doi.org/10.48550/arXiv.2107.05295

Enevoldsen, K., Hansen, L. & Nielbo, K. L. (2021). DaCy: A unified framework for Danish NLP. CEUR Workshop Proceedings, 2989, 206-216.

Enni, S. (2021). Deliberation and Dissemination in Machine Learning. [PhD dissertation, Aarhus University]. Aarhus Universitet.

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

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

Legrand, N., Engen, S. S., Correa, C. M. C., Mathiasen, N. K., Nikolova, N., Fardo, F. & Allen, M. (2021). Emotional metacognition: stimulus valence modulates cardiac arousal and metamemory. Cognition and Emotion, 35(4), 705-721. https://doi.org/10.1080/02699931.2020.1859993

Wevers, M., Kostkan, J. & Nielbo, K. L. (2021). Event flow - How events shaped the flow of the news, 1950-1995. CEUR Workshop Proceedings, 2989, 62-76.

Wevers, M., Kostkan, J. & Nielbo, K. L. (2021). Event Flow - How Events Shaped the Flow of the News, 1950-1995: Preprint . https://doi.org/10.48550/arXiv.2109.08589

Hu, Q., Liu, B., Gao, J., Nielbo, K. L. & Thomsen, M. R. (2021). Fractal scaling laws for the dynamic evolution of sentiments in Never Let Me Go and their implications for writing, adaptation and reading of novels. World Wide Web, 24(4), 1147-1164. https://doi.org/10.1007/s11280-021-00892-5

Have, I. & Enevoldsen, K. C. (2021). From close-listening to distant-listening: Developing tools for Speech-Music discrimination of Danish music radio. Digital Humanities Quarterly, 15(1). http://digitalhumanities.org/dhq/vol/15/1/000522/000522.html

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

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

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.

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

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

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. https://doi.org/10.48550/arXiv.2101.02956

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

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

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

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

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

Nichols, R., Slingerland, E., Nielbo, K. L., Kirby, P. & Logan, C. (2021). Supernatural agents and prosociality in historical China: micro-modeling the cultural evolution of gods and morality in textual corpora. Religion, Brain, and Behavior, 11(1), 46-64. https://doi.org/10.1080/2153599X.2020.1742778

Hansen, L., Enevoldsen, K. C., Bernstorff, M., Nielbo, K. L., Danielsen, A. A. & Østergaard, S. D. (2021). The PSYchiatric Clinical Outcome Prediction (PSYCOP) cohort: Leveraging the potential of electronic health records in the treatment of mental disorders. Acta Neuropsychiatrica, 33(6), 323 - 330. https://doi.org/10.1017/neu.2021.22

Enni, S. & Bak Herrie, M. (2021). Turning Biases into Hypotheses through Method: A Logic of Scientific Discovery for Machine Learning. Big Data & Society, 8(1). https://doi.org/10.1177/20539517211020775

Nielbo, K. L., Hæstrup, F., Enevoldsen, K., Vahlstrup, P. B., Baglini, R. B. & Roepstorff, A. (2021). When no news is bad news--Detection of negative events from news media content. ArXiv. https://doi.org/10.48550/arXiv.2102.06505

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.

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

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

Hu, Q., Liu, B., Thomsen, M. R., Gao, J. & Nielbo, K. L. (2020). Dynamic evolution of sentiments in Never Let Me Go: 2 Insights from multifractal theory and its implications for literary analysis. Digital Scholarship in the Humanities, Article fqz092. https://hal.archives-ouvertes.fr/hal-02143896/document

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

Sala, M., Eckardt, M. R. & Nielbo, K. L. (2020). Evaluation of Konch’s auto-transcription service for Aarhus University Arts. Aarhus Universitet.

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

Nielbo, K. L., Hæstrup, F. & Lassen, I. M. (2020). Nordic Digital Humanities Laboratory. https://centre-for-humanities-computing.github.io/Nordic-Digital-Humanities-Laboratory/

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/

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

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

Allen, M., Legrand, N., Costa Correa, C. M. & Fardo, F. (2020). Thinking through prior bodies: autonomic uncertainty and interoceptive self-inference. The Behavioral and brain sciences, 43, e91. Article e91. https://doi.org/10.1017/S0140525X19002899

Wevers, M., Gao, J. & Nielbo, K. L. (2020). Tracking the Consumption Junction: Temporal Dependencies between Articles and Advertisements in Dutch Newspapers. Digital Humanities Quarterly, 14(2). http://www.digitalhumanities.org/dhq/vol/14/2/000445/000445.html

Wevers, M., Gao, J. & Nielbo, K. L. (2020). Tracking the Consumption Junction: Temporal Dependencies between Articles and Advertisements in Dutch Newspapers. Digital Humanities Quarterly, 14(2).

Nielbo, K. L., Vahlstrup, P. B., Bechmann, A. & Gao, J. (2020). Trend reservoir detection: Minimal persistence and resonant behavior of trends in social media. CEUR Workshop Proceedings, 2723, 290-297.

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

Nielbo, K. L., Perner, M. L., Larsen, C., Nielsen, J. & Laursen, D. (2019). Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum. CEUR Workshop Proceedings, 2364, 321-332.

Hu, Q., Liu, B., Thomsen, M. R., Gao, J. & Nielbo, K. L. (2019). Dynamic evolution of sentiments in Never Let Me Go: Insights from multifractal theory and its implications for literary analysis. HAL.archives-ouvertes. https://hal.archives-ouvertes.fr/hal-02143896

Hu, Q., Liu, B., Rosendahl Thomsen, M., Gao, J. & Nielbo, K. L. (2019). Dynamic evolution of sentiments in Never Let Me Go: Insights from quantitative analysis and implications. In BESC 2019 - 6th International Conference on Behavioral, Economic and Socio-Cultural Computing, Proceedings Article 8963117 IEEE. https://doi.org/10.1109/BESC48373.2019.8963117

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.

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

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.

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

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

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Revised 30.08.2023