COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Caius MCR/SCR research talks > Virtual Undergrounds: The music of the deep, dark web
Virtual Undergrounds: The music of the deep, dark webAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Alisa Molotova. The dark web – drugs, arms dealing, and illegal videos, right? Whilst all of those things do exist on the dark web, I have been intrigued to find that there is another side to this hidden world. There is art, literature, and (of particular interest to me, as a musicologist) there is music. Exploring the music of the deep and dark web opens up a range of fascinating issues – why are people using part of the web notoriously associated with illegal activity to listen to the relative mundanity of the likes of Bon Jovi and Coldplay? How does musical subculture – which has up to this point been heavily focused around notions of identity – function in a space that places anonymity above almost everything else? And what kind of impact does existing shoulder-to-shoulder with human trafficking and crowdfunded assassinations have upon a music community? All this and more will be explored as we delve into the music that exists on deep and dark web – discovering along the way the people who make and share it, their motivations, and what the future of online communities might look (and sound) like. This talk is part of the Caius MCR/SCR research talks series. This talk is included in these lists:Note that ex-directory lists are not shown. |
Other listsResearch Office Linked Events MRC Epidemiology and CEDAR Seminars Martin Centre Research Seminars, Dept of Architecture Cambridge Network Healthcare SIG Humanitas Visiting Professor in Vocal Music 2015: Sir John Tomlinson Clare College Graduate Research ForumOther talksMagnetic van der Waals Materials: Potentials and Applications Missing friars: rethinking late medieval medicine Development of machine learning based approaches for identifying new drug targets Practical Steps to Addressing Unconscious / Implicit Bias Physico-chemical biology in practice, 1920s–1930s |