Publications by Melvin Wevers

• Petram, L., Koolen, M., Wevers, M., & van Lottum, J. (2024). Charting Lives and Careers: Enriched Data About the Dutch East India Company's Eighteenth-Century European Workforce. Journal of Open Humanities Data, 10(44).
• Wevers, M. (2024). [Review of: J. Guldi (2023) The Dangerous Art of Text Mining: A Methodology for Digital History]. Technology and Culture, 65(3).
• 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(1), 25. https://doi.org/10.1038/s43586-024-00302-w
• Smits, T., & Wevers, M. (2023). A multimodal turn in Digital Humanities: Using contrastive machine learning models to explore, enrich, and analyze digital visual historical collections. Digital Scholarship in the Humanities, 38(3), 1267-1280. https://doi.org/10.1093/llc/fqad008
• Barancová, A., Wevers, M., & van Noord, N. (2023). Blind Dates: Examining the Expression of Temporality in Historical Photographs. In Proceedings of the Computational Humanities Research Conference 2023. https://ceur-ws.org/Vol-3558/paper5790.pdf
• Wevers, M. (2023). Mining historical advertisements in digitised newspapers. In Digitised Newspapers: A New Eldorado for Historians (pp. 227-252). https://doi.org/10.1515/9783110729214-011
• Smits, T., & Wevers, M. (2022). The agency of computer vision models as optical instruments. Visual Communication, 21(2), 329-349. https://doi.org/10.1177/1470357221992097
• Wevers, M., Vriend, N., & De Bruin, A. (2022). What to do with 2,000,000 historical press photos? The challenges and opportunities of applying a scene detection algorithm to a digitised press photo collection. TMG Journal for Media History, 25(1), 1. https://doi.org/10.18146/tmg.815
• Wevers, M., Karsdorp, F., & van Lottum, J. (2022). What Shall We Do With the Unseen Sailor? Estimating the Size of the Dutch East India Company Using an Unseen Species Model. In CHR (pp. 189-197). https://ceur-ws.org/Vol-3290/short_paper1793.pdf
• van Strien, D., Beelen, K., Wevers, M., Smits, T., & McDonough, K. (2022). Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1). The Programming Historian. https://doi.org/10.46430/phen0101
• Jongepier, I., & Wevers, M. (2022). Dossier: Digitale stadsgeschiedenis, de belofte ingelost?. Stadsgeschiedenis, 17(2).
• Wevers, M. (2021). Scene Detection in De Boer Historical Photo Collection. In ICAART (1) (pp. 601-610). https://doi.org/10.5220/0010288206010610
• Wevers, M., Kostkan, J., & Nielbo, K. L. (2021). Event flow - How events shaped the flow of the news, 1950-1995. In Proceedings of the Conference on Computational Humanities Research 2021 (pp. 62-76). http://ceur-ws.org/Vol-2989/long_paper16.pdf
• Wevers, M., & Koolen, M. (2020). Digital begriffsgeschichte: Tracing semantic change using word embeddings. Historical Methods: A Journal of Quantitative and Interdisciplinary History, 53(4), 226-243. https://doi.org/10.1080/01615440.2020.1760157
• Wevers, M., & Smits, T. (2020). Detecting faces, visual medium types, and gender in historical advertisements, 1950-1995. In Computer Vision--ECCV 2020 Workshops (pp. 77-91). Springer. https://doi.org/10.1007/978-3-030-66096-3_7
• Wevers, M., & Smits, T. (2020). The visual digital turn: Using neural networks to study historical images. Digital Scholarship in the Humanities, 35(1), 194-207. https://doi.org/10.1093/llc/fqy085
• Wevers, M., Gao, J., & Nielbo, K. (2020). Tracking the Consumption Junction: Temporal Dependencies between Articles and Advertisements in Dutch Newspapers. Digital Humanities Quarterly, 14(2). http://digitalhumanities.org/dhq/vol/14/2/000445/000445.html
• Wevers, M. (2019). Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990. In The 1st International Workshop on Computational Approaches to Historical Language Change: ACL 2019 (pp. 92-97). https://doi.org/10.18653/v1/W19-4712
• van Erp, M., Wevers, M., & Huurdeman, H. (2018). Constructing a Recipe Web from Historical Newspapers. In The Semantic Web – ISWC 2018 (Vol. I, pp. 217-232). https://doi.org/10.1007/978-3-030-00671-6_13
• Wevers, M. (2018). 1928: Coca-Cola en de moderne consumptiemaatschappij. In Wereldgeschiedenis van Nederland.
• Wevers, M., van Lottum, J., & van Erp, M. (2018). Van kranten tot scheepspapieren en processtukken: Rijkdom en verrijking van digitale bronnen voor onderzoek. Archievenblad, 122(3), 10-14.
• Wevers, M. (2017). Consuming America: A Data-Driven Analysis of the United States as a Reference Culture in Dutch Public Discourse on Consumer Goods, 1890-1990 (Doctoral dissertation, Utrecht University).
• Wevers, M., & Verhoef, J. (2017). Coca-Cola: An icon of the American way of life. An iterative text mining workflow for analyzing advertisements in Dutch twentieth-century newspapers. Digital Humanities Quarterly, 11(4).
• Martinez-Ortiz, C., Kenter, T., Wevers, M., Huijnen, P., Verheul, J., & van Eijnatten, J. (2016). Design and implementation of ShiCo: Visualising shifting concepts over time. In Proceedings of the 3rd HistoInformatics Workshop on Computational History (HistoInformatics 2016) (pp. 11-19). http://ceur-ws.org/Vol-1632/paper_2.pdf
• Kenter, T., Wevers, M., Huijnen, P., & de Rijke, M. (2015). Ad hoc monitoring of vocabulary shifts over time. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (pp. 1191-1200).