In ‘Mood Machine,’ BU grad Liz Pelly examines the hidden costs of Spotify’s music empire
Stories about Spotify’s insidious effect on the livelihood of musicians aren't new. Pelly takes that criticism further, ...
Marketplace1d
“Mood Machine” probes the mysteries of the Spotify playlist
In her book, music journalist Liz Pelly peels back the curtain on the Spotify algorithm and explains how it's affecting the ...
‘It’s About How Power Works’: Author Liz Pelly on Her New Spotify Book, ‘Mood Machine’
Author Liz Pelly on her Spotify book, 'Mood Machine,' which critiques the practices and cultural effects of the streaming giant ...
Author Liz Pelly on Spotify Book, Ghost Artists and Speaking Up for Indie Musicians
Mood Machine,' a mix of investigative reporting and cultural criticism, focuses on how Spotify has reshaped how we listen to ...
Hosted on MSN1mon
Fitness Trackers Detect Bipolar Mood Episodes
The goal was to develop a machine learning algorithm capable of accurately predicting mood episodes based on the data collected from these devices. The study employed an observational design ...
Hosted on MSN1mon
Researchers use fitness tracker data and machine learning to detect bipolar disorder mood swings
Lipschitz et al, Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology, Acta Psychiatrica Scandinavica (2024).