Daenekindt, S., & Schaap, J. (2022). Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021. Journal of Computational Social Science, 5(2), 1615-1636. https://doi.org/10.1007/s42001-022-00182-8

DAENEKINDT, Stijn und SCHAAP, Julian, 2022. Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021. Journal of Computational Social Science. 1 November 2022. Vol. 5, no. 2, p. 1615-1636. DOI 10.1007/s42001-022-00182-8.

Daenekindt, S., und J. Schaap. „Using Word Embedding Models to Capture Changing Media Discourses: A Study on the Role of Legitimacy, Gender and Genre in 24,000 music Reviews, 1999–2021“. Journal of Computational Social Science, Bd. 5, Nr. 2, November 2022, S. 1615-36, https://doi.org/10.1007/s42001-022-00182-8.

Daenekindt, Stijn/Schaap, Julian: Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021, Journal of Computational Social Science 2022, 1615-1636.

Daenekindt, S. und Schaap, J. (2022), „Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021“, Journal of Computational Social Science, Vol. 5 No. 2, S. 1615-1636.