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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
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://arxiv.org/pdf/2102.06505.pdf
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.
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
Nielbo, K. L., Hæstrup, F., Enevoldsen, K., Vahlstrup, P. B., Baglini, R. B. & Roepstorff, A. (2022).
When No News is Bad News. News-based Change Detection During COVID-19.
DH Benelux Journal,
4, 107-120.
https://doi.org/10.17613/03ds-9973
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 (pp. 715-733). CEUR-WS.org.
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Nielbo, K. L., Bizzoni, Y., Lassen, I. M. S., Moreira, P. F., Thomsen, M. R. & Gao, J. (2023).
Global coherence, local uncertainty: A recipe for literary success. Abstract from CUDAN 2023, Tallinn, Estonia.
https://cudan.tlu.ee/conference/CUDAN2023-abstract-20.pdf
Nielbo, K. L., Karsdorp, F., Wevers, M., Lassche, A.
, Baglini, R. B., Kestemont, M. & Tahmasebi, N. (2024).
Quantitative text analysis.
Nature Reviews Methods Primers,
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https://doi.org/10.1038/s43586-024-00302-w
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
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
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,
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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/
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
Lassen, I. M. S., Kristensen-McLachlan, R. D., Almasi, M.
, Enevoldsen, K. & Nielbo, K. L. (2024).
Epistemic consequences of unfair tools.
Digital Scholarship in the Humanities,
39(1), 198–214.
https://doi.org/10.1093/llc/fqad091
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,
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Lassen, I. M. S., Bizzoni, Y., Thomsen, M. R. & Nielbo, K. L. (2023).
Systematic Gender Asymmetries in Aesthetic Judgments: An Observational Study of Book Reviewer Preferences. In A. Baillot, W. Scholger, T. Tasovac & G. Vogeler (Eds.),
Digital Humanities 2023: Book of Abstracts (pp. 404-406). Zentrum für Informationsmodellierung - Austrian Centre for Digital Humanities,University of Graz.
https://doi.org/10.5281/zenodo.7961822
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