Please use this identifier to cite or link to this item: https://dspace.fsm.ac.in/jspui/handle/123456789/5469
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dc.contributor.authorShetty, Lakshmi-
dc.contributor.authorShardeo, Vipulesh-
dc.contributor.authorDwivedi, Prabhat-
dc.contributor.authorGoreczny, Ashley-
dc.date.accessioned2026-04-27T09:58:37Z-
dc.date.available2026-04-27T09:58:37Z-
dc.date.issued2026-
dc.identifier.issn1944-7175-
dc.identifier.urihttps://dspace.fsm.ac.in/jspui/handle/123456789/5469-
dc.description.abstractAI has the potential to generate high-quality, customized content; however, most customers perceive the technology as less authentic, leading to trust issues (i.e. an Authenticity Paradox). This commentary examines how consumers perceive marketing content created using AI, specifically the interaction between authenticity, transparency, emotional engagement, and ethics. We emphasize the way AI-driven virtual influencers engage with demographics, the quality of marketing content, ethical conduct, and efficient communication, as well as address work relating to demographic disparities in AI acceptance. We recommend multidisciplinary work, advocating for the harmony between AI and human factors to maintain brand authenticity and long-term trust.en_US
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMarketingen_US
dc.subjectArtificial Intelligence-Generated Content (AIGC)en_US
dc.subjectAuthenticity paradox in AI-drivenen_US
dc.subjectFaculty Articleen_US
dc.subjectJournal Articleen_US
dc.subjectResearch Articleen_US
dc.subjectFaculty Research Paperen_US
dc.subjectFaculty Research Articleen_US
dc.titleArtificial Intelligence-Generated Content Authenticity Perception Nexus in Marketingen_US
dc.typeArticleen_US
dc.multimedia.accesslinkhttps://doi.org/10.1080/10696679.2026.2637644en_US
Appears in Collections:Faculty Publication 2026

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