Work

Beyond Transparency: How Meaningful Human Oversight Shapes Authenticity and Trust in Generative AI-Assisted Marketing

Year: 2026

Type: dataset

Abstract: This dataset contains anonymized semi-structured interview data collected to explore Generation Z consumers' perceptions of Generative AI-assisted marketing content. The dataset focuses on AI disclosure, meaningful human oversight, perceived authenticity, and consumer trust. The interviews were conducted with six participants and were analyzed using a reflexive thematic analysis approach. The dataset is provided as supporting research data for the study entitled "Beyond Transparency: How Meaningful Human Oversight Shapes Authenticity and Trust in Generative AI-Assisted Marketing." Personally identifiable information has been removed or replaced to protect participant privacy.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23056492

Authors: Amelia Putri Septiyanti, Hilda Natasha Febbina Halif, LUKIYANTO, KUKUH, Maryani

Institution: Binus University

Language: Indonesian

Topic: AI in Service Interactions

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7214923866

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