- Although such systems are promoted as tools for personalized listening, they *could* also be used to infer or profile individuals’ beliefs

A wonderful collaboration led by Juan Sebastián Gómez-Cañón, @lennietm.bsky.social, Pablo Aragón, Estefanía Cano, Perfecto Herrera & Emilia Gómez 3/3

- In studying traditional Colombian songs with explicit political messages, we found that listeners’ emotional responses aligned with their political leanings, and that AI could reliably detect these patterns

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#musicpsych

... non-musicians' responses varied dramatically. We also developed a inventory for checking expertise in Hindustani and Carnatic classical music. #musicscience #CrossCulturalResearch
doi.org/10.1080/0929...

Very nice and particularly like the specificity of the imagined content that the methods allow you to demonstrate. The stable diffusion generated images are fun and I’m surprised that the average content is as coherent as it seems!

Forgot Mike’s Bluesky handle, @michaelschutz.bsky.social here and shout out to wonderful MAPLE lab at McMaster University, maplelab.net, who have been systematically curating various datasets for music cognition over the last decade.

Our findings show that this model can predict expert ratings with a high degree of accuracy (r = .82). The model is fairly robust across different recordings and performers. Python implementation is available at github.com/tuomaseerola... #MusicCognition #Tonal #ComputationalMusic 3/3

To quantify relative mode, we developed an audio-based computational model that adapts key-finding methods and focusses on the difference in strength between major and minor keys. This model was evaluated against expert music analysts' ratings of relative mode. #MusicAnalysis 2/3

Also, brief synchronous music interactions boosted state empathy, but not overall social bonding. While induced empathy didn't have an effect, trait empathy & familiarity were linked to the experience of bonding. Interesting work from @sheffielduni.bsky.social #musicscience doi.org/10.3389/fpsy...

Great examples and really impossible to pin down any one specific expression or emotion. They might be what Diana Raffman called “ineffable” (verbally inexpressible) to some extent as well

Thanks. I was pretty happy with the load of positives affect terms (love etc) coming through that usually do not get attention but are of course super popular themes of music

This is probably a tiny dataset compared to your recent standards! There are more questions to be answered with this data as the content data (audio etc) nor the backgrounds nor the functions were not reported here