ArticleFrontiers in psychology2024
Enhancing social media engagement using AI-modified background music: examining the roles of event relevance, lyric resonance, AI-singer origins, audience interpretation, emotional resonance, and social media engagement.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- From media engagement to global impact: a serial moderated mediation model of cultural relatability and emotional resonance in Chinese culture communication.Frontiers in psychology · 2026Article
- How metaverse music platform cues shape content creation behavior: Evidence from social and flow pathways.PloS one · 2026Article
- The impact of sensory modalities and background information on the emotional resonance of Li Bai's classical poetry.Frontiers in psychology · 2025Article
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1 author.
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Abstract
Introduction: Drawing on the S-O-R model, this study aims to investigate the influence of three stimuli from AI-modified music (i.e., event relevance, lyric resonance, and AI-singer origins), two responses from social media content consumers (i.e., audience interpretation and emotional resonance) on the social media engagement of personalized background music modified by artificial intelligence (AI). Methods: The structural equation modeling analyses of 467 social media content consumers' responses confirmed the role of those three stimuli and the mediating effect of audience interpretation and emotional resonance in shaping social media engagement. Results: The findings shed light on the underlying mechanisms that drive social media engagement in the context of AI-modified background music created for non-professional content creators. Discussion: The theoretical and practical implications of this study advance our understanding of social media engagement with AI-singer-originated background music and provide a basis for future investigations into this rapidly evolving phenomenon in the gig economy.
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