A Bayesian analysis of national heavy metal subgenre prevalence in northern Europe and the West

References

1. Berger, H., and Fales, C.. ( 2005;), ‘ “Heaviness” in the perception of heavy metal guitar timbres. ’, in P. D. Greene, and T. Porcello. (eds), Wired for Sound: Engineering and Technologies in Sonic Cultures, Middletown, CT:: Wesleyan University Press;, pp. 181–97.
   [Google Scholar]
2. Brown, A.. ( 2011;), ‘ Heavy genealogy: Mapping the currents, contraflows, and conflicts of the emergent field of metal studies, 1978–2010. ’, Journal for Cultural Research, 15:3, pp. 213–42.
   [Google Scholar]
3. Bužić, D., and Dobša, J.. ( 2018;), ‘ Lyrics classification using naïve Bayes. ’, in 41st International Convention on Information and Communication Technology, Electronics, and Microelectronics (MIPRO), Opatija, Croatia, 21–25 May, Piscataway, NJ:: IEEE;, pp. 1011–15, https://doi.org/10.23919/MIPRO.2018.8400185. Accessed 23 September 2022.
   [Google Scholar]
4. Encyclopaedia Metallum: The Metal Archives. ( n.d.), https://www.metal-archives.com/. Accessed 20 June 2021.
5. Freeborn, R.. ( 2010;), ‘ A selective discography of Scandinavian heavy metal music. ’, Notes, Music Library Association, 66:4, pp. 840–50.
   [Google Scholar]
6. Fried, C.. ( 2003;), ‘ Stereotypes of music fans: Are rap and heavy metal fans a danger to themselves or to others. ’, Journal of Media Psychology, 8:3, pp. 1–27.
   [Google Scholar]
7. Hagen, R.. ( 2020;), ‘ “From the dark past”: Historiographies of violence in Norwegian black metal. ’, in B. van der Steen, and T. P. F. Verburgh. (eds), Researching Subcultures, Myth, and Memory, Cham:: Springer International Publishing;, pp. 151–70.
   [Google Scholar]
8. Hillier, B.. ( 2020;), ‘ Considering genre in metal music. ’, Metal Music Studies, 6:1, pp. 5–26.
   [Google Scholar]
9. Issit, M.. ( 2011), Goths: A Guide to American Subculture, Santa Barbara, CA:: Greenwood Publishing Group;.
   [Google Scholar]
10. Langebach, M., and Schulze, C.. ( 2020;), ‘ Affirmation and denial: Extreme right black metal and the Holocaust. ’, Metal Music Studies, 6:3, pp. 375–93.
    [Google Scholar]
11. Olsen, K. N.,, Powell, M.,, Anic, A.,, Vallerand, R. J., and Thompson, W. F.. ( 2020;), ‘ Fans of violent music: The role of passion in positive and negative emotional experience. ’, Musicae Scientiae, 26:2, pp. 364–87, https://doi.org/10.1177/1029864920951611. Accessed 17 October 2019.
    [Google Scholar]
12. O’Neill, A.. ( 2017), A History of Heavy Metal, New York:: Hachette Book Group;.
    [Google Scholar]
13. Patterson, C.. ( 2018;), ‘ Heavy metal bands by nation. ’, Kaggle , 10 August, https://www.kaggle.com/mrpantherson/metal-by-nation/version/1. Accessed October 2020.
14. R Core Team ( 2013), R: A Language and Environment for Statistical Computing, Vienna:: R Foundation for Statistical Computing;.
    [Google Scholar]
15. Rönnberg, T.. ( 2020;), ‘ Classification of heavy metal subgenres with machine learning. ’, master’s thesis, Turku:: Åbo Akademi University Press;.
    [Google Scholar]
16. Savigny, H., and Schaap, J.. ( 2018;), ‘ Putting the “studies” back into metal studies. ’, Metal Music Studies, 4:3, pp. 549–57.
    [Google Scholar]
17. Sun, Y.,, Lu, X.,, Williams, M., and Thompson, W. F.. ( 2019;), ‘ Implicit violent imagery processing among fans and non-fans of music with violent themes. ’, Royal Society Open Science, 6:3, pp. 1–11, https://doi.org/10.1098/rsos.181580. Accessed 23 September 2022.
    [Google Scholar]
18. Ter-Sarkisov, A.. ( 2021;), ‘ Network of steel: Neural font style transfer from heavy metal to corporate logos. ’, ICPRAM 2021: International Conference on Pattern Recognition Applications and Methods, IEEE, Vienna, Austria, 4 February.
    [Google Scholar]
19. Tsatsishvili, V.. ( 2011;), ‘ Automatic subgenre classification of heavy metal music. ’, master’s thesis, Jyväskylä:: JYX Digital Repository;.
    [Google Scholar]
20. Wickham, H.. ( 2019;), ‘ stringr: Simple, consistent wrappers for common string operations. ’, RStudio , 10 May, http://stringr.tidyverse.org. Accessed 10 June 2022.
21. Bleile, MaryLena,, Luedeker, Bianca, and Patterson, Charles B.. ( 2022;), ‘ A Bayesian analysis of national heavy metal subgenre prevalence in northern Europe and the West. ’, Metal Music Studies, 8:3, pp. 327–50, https://doi.org/10.1386/mms_00084_1
    [Google Scholar]