Affective Science › Emotion Regulation in Digital Environments
Algorithmic Curation''s Impact on Affective State Trajectory and Mood Regulation
Research examines how recommendation algorithms shape longitudinal patterns of emotional experiences and users'' capacity to self-regulate mood states across sessions. This work advances understanding of how machine learning systems function as indirect emotion regulation interventions with measurable psychological effects.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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