Music and the Internet: Towards a Digital Sociology of Music is an interdisciplinary research project that aims to provide the first comprehensive analysis of the changing cultural roles of the internet in music.
Taking as its historical focus a twenty-year period ranging from the early take up of the world wide web to the present day world of social media platforms, it responds to three overarching research questions:
- Have uses of the internet contributed to greater boundary crossing between 'art' and 'popular' musics?
- Has the internet affected an expansion or diversification of the geographical reach of contemporary genres?
- To what extent have the institutions that provide for the production and distribution of music been reshaped by the internet?
This project takes off from the assertion that the range and diversity of uses of the internet since the popular take-up of the world wide web demand new approaches to the analysis and theorisation of music for which online practices are central. A major conceptual and methodological contribution of this research will be to analyse these genres using social data science methods. Informed by the research questions, and mixing qualitative and quantitative approaches, these tailored methods will analyse and visualise data from 'natively digital' mediums like forums, mailing lists, and social media platforms, thereby taking the analysis of online music beyond the reach of a single researcher.
Principal Investigator:
Christopher Haworth
Senior Lecturer in Music
Christopher researches the history of electronic music as it is practiced, theorised, taught and experienced, and he does this using a mixture of historical, ethnographic, interpretive and data-driven methods.
Christopher's profile
Research Fellow:
Edward Spencer
Research Fellow
Ed's research examines Electronic Dance Music (EDM) and its entanglements with the Internet. He exlores EDM memes, trolling practices, and the record label PC Music. His work is interdisciplinary and involves methods such as digital ethnography, webometrics, and analysis of music and the moving image.
Ed's profile