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TRUVACE RECORD VERSION
record: TRV-2026-2650
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T16:56:42.291159Z
status: published
lens: p_space
sector: business
headline: Familiarity with a brand makes customers more sensitive to AI - generated marketing content: insights from Destination Marketing and Framing Theory
dek: Existing literature has highlighted the lower performance of artificial intelligence (AI)-generated marketing content in conveying affective messaging. Affective messaging is especially important in tourism and destination marketing. While recent literature highlights increasing human involvement in content creation potential solution, we argue that this approach aligns with framing theory, as both seek to enhance content presentation to effectively influence consumer information processing and decision-making.…
gain_title: (none)
problem_title: In an online quasi-experiment with one destination marketing brand, audiences familiar with the brand were more sensitive to AI-generated marketing content than audiences with low familiarity.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: In an online quasi-experiment with one destination marketing brand, audiences familiar with the brand were more sensitive to AI-generated marketing content than audiences with low familiarity.
problem_evidence: audiences with low brand familiarity were less sensitive to AI-generated marketing content than familiar audiences
quick_read: An online quasi-experiment with one destination marketing brand compared three types of content: human-created, AI-generated, and AI-generated with more human involvement. Participants were university staff and students. Audiences who already knew the brand were more sensitive to AI-generated marketing content than those who did not.

The finding matters for tourism marketing, where emotional messaging is central and earlier research has found AI-generated content weaker at conveying it. The study treats how well people know a brand as a condition that shapes how they react to AI-made material.

Increasing human involvement in creating the content reduced negative attitudes toward AI use. The authors present this as consistent with framing theory, which stresses consumers' familiarity with a subject.
limitation: The quasi-experiment used one destination marketing brand and a sample of university staff and students, which limits how far the results extend to other brands and wider audiences.
tag: Evidence-backed problem
key_points: The study was an online quasi-experiment built around a single destination marketing brand. | Three content sources were compared: human-created, AI-generated, and AI-generated with increased human involvement. | Participants were university staff and students. | Audiences with low brand familiarity were less sensitive to AI-generated content than familiar audiences. | More human involvement in content creation diminished negative attitudes toward AI use. | The authors argue that subject familiarity has not been treated as a boundary condition in earlier research on AI-driven marketing content.
rundown: The research starts from earlier findings that AI-generated marketing content performs worse at conveying affective messaging, which matters especially for tourism and destination marketing. Recent work has proposed putting more humans into content creation as a fix.

The authors link that fix to framing theory, which holds that how content is presented shapes how consumers process information and decide. Framing theory also treats consumers' familiarity with the subject as a critical factor, a dimension the authors say has been absent from research on AI marketing content.

To test this, they ran an online quasi-experiment with one destination marketing brand, using a sample of university staff and students. Audiences unfamiliar with the brand were less sensitive to AI-generated content, and added human involvement reduced negative attitudes toward AI use.
sources:
- peer_reviewed | Current Issues in Tourism | https://doi.org/10.1080/13683500.2026.2728074 | 2026-09-05
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