University of Illinois at Urbana-Champaign
Understanding the effect of identity disclosure of humanlike artificial intelligence influencers through watermarking
Abstract
dc:descriptionAs 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 × 4Rights
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