Integrating a Research-Based Happiness Algorithm into Social Media Platforms for Enhanced Digital Well-being
DOI:
https://doi.org/10.53555/eijbms.v11i1.221Keywords:
Happiness algorithm, digital well-being, social media, sentiment analysis, user behavior, mental health monitoringAbstract
This paper explores the integration of the HAPPI v1.0 happiness algorithm into social media platforms and digital ecosystems to monitor and enhance user well-being. Building upon empirical findings from positive psychology, behavioural science, and the World Happiness Report, the study proposes a method for tracking and influencing happiness in real-time through digital behavior. By combining passive digital usage data with active user feedback and AI-driven sentiment analysis, we propose a hybrid system to measure happiness indicators and suggest personalized well-being interventions.
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