Journal Articles

  • Youngblood, M., & Lahti, D. (2022). Content bias in the cultural evolution of house finch song. Animal Behaviour, 185. [Link] [PDF]
  • Youngblood, M., Baraghith, K., & Savage, P. E. (2021). Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999). Evolution & Human Behavior. 42(6). [Link] [PDF]
  • Kornreich, A., Youngblood, M., Mundinger, P. C., & Lahti, D. C. (2020). Female song can be as long and complex as male song in wild house finches (Haemorhous mexicanus). The Wilson Journal of Ornithology, 132(4). [Link] [PDF]
  • Youngblood, M. (2020). Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005 and 2017. Humanities & Social Sciences Communications, 7(49). [Link] [PDF]
  • Youngblood, M. (2020). A Raspberry Pi-based, RFID-equipped birdfeeder for the remote monitoring of wild bird populations. Ringing & Migration. [Link] [PDF]
  • Youngblood, M. (2019). Conformity bias in the cultural transmission of music sampling traditions. Royal Society Open Science, 6(9). [Link] [PDF]
  • Youngblood, M. (2019). Cultural transmission modes of music sampling traditions remain stable despite delocalization in the digital age. PLoS ONE, 14(2). [Link] [PDF]
  • Youngblood, M., & Lahti, D. (2018). A bibliometric analysis of the interdisciplinary field of cultural evolution. Palgrave Communications, 4(120). [Link] [PDF] [Interactive Network]

Book Chapters

  • Youngblood, M., Ozaki, Y., & Savage, P. E. (in press). Cultural evolution and music. Oxford Handbook of Cultural Evolution. [Link]


  • Falandays, J. B., Kaaronen, R. O., Moser, C., Rorot, W., Tan, J., Varma, V., Williams, T., & Youngblood, M. (2022). All intelligence is collective intelligence. PsyArXiv. [Link]
  • Sobchuk, O., Youngblood, M., Morin, O. (2022). First-mover advantage in the evolution of music genres. SocArXiv. [Link]
  • Youngblood, M., Miton, H., & Morin, O. (2022). Signals of random copying in the cultural evolution of cattle brands are robust to time- and space-averaging. PsyArXiv. [Link]
  • Youngblood, M., Stubbersfield, J. M., Morin, O., Glassman, R., & Acerbi, A. (2021). Negativity bias in the spread of voter fraud conspiracy theory tweets during the 2020 US election. PsyArXiv. [Link]
  • GomezdelaTorre Clavel, M. G., Youngblood, M., & Lahti, D. (2020). Relationship between personality and cognitive traits in domestic rabbits (Oryctolagus cuniculus). bioRxiv. [Link]

Popular Press

  • Friedman, A. & Youngblood, M. (2022, April). Nobody defunded the police: a study. The Real News Network. [Link]
  • Youngblood, M. (2021, Spring). Birdsong diversity in the urban environment. Plot, Vol. 10: X. [Link]
  • Friedman, A. & Youngblood, M. (2020, June). Poorer cities spend more of budget on police, even where crime is lower. Sludge. [Link] [PDF]
  • Youngblood, M. (2019, June). A study of collaborative sampling across international networks. Red Bull Music Academy Daily. [Link] [PDF]