Dougal Shakespeare

Dougal Shakespeare

@dougalshakes.bsky.social

Researching the relation between music streaming platforms, their design + listening concentration within RECORDS in colab. with @Deezer. CNRS / EHESS. until recently @css-cnrs.bsky.social

28 Followers 38 Following 9 Posts Joined Feb 2025
4 months ago
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Job Opportunity at University of Leeds: Research Fellow in Music and Computational Social Science Research Fellow in Music and Computational Social Science, School of Media and CommunicationWorking with Professor David Hesmondhalgh, as part of a successful and well-established research project, MU...

Exciting opportunity to join the "MUSICSTREAM: Music Culture in the Age of Streaming" 🎡 project w/ @hesmondthing.bsky.social @universityofleeds.bsky.social

jobs.leeds.ac.uk/vacancy.aspx...

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5 months ago

πŸ“£ Soutenance de thΓ¨se de Dougal Shakespeare (CAMS, EHESS-CNRS / Centre Marc Bloch) "Multi-affordance Dynamics on Music Streaming Platforms – A Case Study on Deezer", sous la direction de Camille Roth

πŸ“ 14 octobre 2025 Γ  9h, en salle A7-37 au 54 bd Raspail

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8 months ago

@camcom.bsky.social

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8 months ago
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Investigating Musical Taxonomy in the era of Streaming Platforms: Insights from Rap music through actual consumption data This paper examines the musical boundaries that emerge from the distinct consumption patterns of rap audiences. Using the actual listening histories o…

Fresh insights using Deezer data by my colleagues Myriam Boualami & Camille Roth! 🎡

Raises some important points re. how existing top-down musical categorisations align with ground-up categories emerging from on-platform listenings.

www.sciencedirect.com/science/arti...

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1 year ago
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Last chance to submit your abstract to our
"Network and Music" session at Sunbelt 2025 🎡

Deadline: February 20th 2025

-> Submission link: conftool.pro/sunbelt2025/...

-> More details: sunbelt2025.org/wp-content/u...

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1 year ago
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Finally, examining similarities between platform affordances we show how human curated "editorial playlists" (E) currently play an invaluable role - they expose users' to more novel artists which are also, +semantically diverse compared to other affordances. (5/5)

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1 year ago
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At a more aggregate scale (inter-sessions) we observe a striking diff. between conclusions reached via different info. representation methods - again A devices foster the most dense, semantic artist diversity but now also the least artist novelty! (4/5)

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1 year ago
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Within "sessions" of platform engagement, algo. devices (A) foster relatively high levels of dense and discrete diversity compared to those that rely on manually searching / browsing the platform "organically" via the Q affordance. (3/5)

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1 year ago

Different temporal scales & info. representation methods (dense, spatial vs discrete, repetition based) lead to strikingly different algo. concentration conclusions... (2/5)

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1 year ago
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Reframing the filter bubble through diverse scale effects in online music consumption - Scientific Reports Scientific Reports - Reframing the filter bubble through diverse scale effects in online music consumption

New paper out (with @camcom.bsky.social & Victor Chareyron).
"Reframing the filter bubble through diverse scale effects in online music consumption" 🎡 πŸ“² (1/5)

www.nature.com/articles/s41...

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