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How real is real enough? Unveiling the diverse power of generative AI‐enabled virtual influencers and the dynamics of human responses

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December 1, 2024
Published Date

Research Abstract & Technology Focus

AbstractVirtual influencers in various forms are capturing a growing share of ad spend from human influencers. Followers respond to virtual influencers much as if they were human, with engagement rates and measures of trust and source credibility that rival their human counterparts. However, there is an acute need for more nuanced understanding of the differential characteristics of user engagement with human influencers and the many emerging forms, types and interactional characteristics of virtual influencers. We conduct an exploratory study of three parts. First, through an indepth review of the existing literature, we delineate the implications of unsettled taxonomies of virtual influencers by function and form, and we outline a revised typology. Second, our secondary review of virtual influencer literature, trade, and industry sources conceptualizes divergent factors influencing the persuasive capability of human and virtual influencers while identifying intersecting research themes. From this synthesis we induce suggestions for future research and practice. Finally, we assess, refine and adjust our framework through depth interviews with leading expert practitioners to generate six key findings to guide future researched‐backed virtual influencer practice and research.
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Realtime

The market is prioritizing real-time AI performance, with advancements like Photon achieving near-realtime VLM inference through GPU optimization. AI agents, such as OpenClaw, are expanding to nati...

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What is the core focus of the research titled 'How real is real enough? Unveiling the diverse power of generative AI‐enabled virtual influencers and the dynamics of human responses'?

This literature focuses on: AbstractVirtual influencers in various forms are capturing a growing share of ad spend from human influencers. Followers respond to virtual influencers much as if they were human, with engagement rates and measures of trust and source credibility ...

Are there open-source GitHub repositories related to How real is real enough? Unveiling the diverse power of generative AI‐enabled virtual influencers and the dynamics of human responses?

Yes, open-source projects like OpenMOSS/MOSS-TTS-Nano (MOSS-TTS-Nano is an open-source multilingual tiny speech generation model from MOSI.AI and the OpenMOSS team. With only 0.1B parameters, it is desi...) are actively building upon these concepts.

What other academic literature is closely related to 'How real is real enough? Unveiling the diverse power of generative AI‐enabled virtual influencers and the dynamics of human responses'?

Yes, highly correlated activity was mapped. An entry titled 'Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective' discusses this: This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighti...

Are there commercial applications of 'How real is real enough? Unveiling the diverse power of generative AI‐enabled virtual influencers and the dynamics of human responses' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'Realtime' discusses this: The market is prioritizing real-time AI performance, with advancements like Photon achieving near-realtime VLM inference through GPU optimization. ...

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