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University of Illinois at Urbana-Champaign

Understanding the effect of identity disclosure of humanlike artificial intelligence influencers through watermarking

Abstract

dc:description

As artificial intelligence (AI) technology continues to advance, it has become increasingly challenging to distinguish human influencers from AI-generated influencer personas. In response, the government has introduced watermarking as a measure to ensure transparency in the disclosure of influencers’ identities. Despite the importance of this issue, there has been a lack of research on the topic. To fill this gap, the present study aims to examine the effects of watermark disclosure of AI influencers’ identity and its influence on consumers’ purchase intentions, particularly in relation to the nature of the message being conveyed. Drawing on multidimensional persuasion knowledge and construal level theory, this study conducted a 2 (watermark: presence vs. absence) by 2 (message type: utilitarian vs. hedonic) between-subjects experiment and found that consumers exhibited higher purchase intentions when a watermark was present, and the message was utilitarian rather than hedonic. Furthermore, this interaction effect was sequentially mediated by consumer skepticism and dislike. Theoretical and practical implications are discussed.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Advertising
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Park, Se Il
Contributors dc:contributor
  • Nelson, Michelle R.
  • Sar, Sela
  • Ham, Chang-Dae

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • Copyright 2024 Se Il Park
Language dc:language
eng, en

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/127230

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Park, Se Il. Understanding the effect of identity disclosure of humanlike artificial intelligence influencers through watermarking. Thesis thesis, University of Illinois at Urbana-Champaign, 2024. https://hdl.handle.net/2142/127230