Generative Artificial Intelligence (gen-AI) is being widely adopted to craft copy and visuals for social media advertising. We distill the essential insight from two experiments with Italian consumers: transparently declaring that an ad was created with AI—versus not declaring it—reliably improves (i) perceived advertising credibility and (ii) perceived comprehension of the ad’s language. Across two product categories (wine and body wash) and holding content constant, AI disclosure increased credibility by roughly half a scale point on 7-point measures and similarly improved language comprehension. Effects did not depend on product category. Conceptually, the finding extends Persuasion Knowledge and Source Credibility perspectives to AI-authored messages: explicit disclosure signals honesty and perceived competence, reducing resistance and facilitating message processing. Practically, the takeaway is straightforward: adopting clear AI-disclosure cues (e.g., labels or Content Credentials) can enhance the trustworthiness and clarity of social media advertising without changing the creative itself. We outline actionable guidelines for managers and note boundary conditions and research opportunities (e.g., roles of brand reputation, AI familiarity, and platform context).

Disclosing Artificial Intelligence in Social Media Advertising Increases Advertising Credibility and Message Comprehension

Marozzo, Veronica
;
Cesaroni, Fabrizio;Abbate, Tindara
2026-01-01

Abstract

Generative Artificial Intelligence (gen-AI) is being widely adopted to craft copy and visuals for social media advertising. We distill the essential insight from two experiments with Italian consumers: transparently declaring that an ad was created with AI—versus not declaring it—reliably improves (i) perceived advertising credibility and (ii) perceived comprehension of the ad’s language. Across two product categories (wine and body wash) and holding content constant, AI disclosure increased credibility by roughly half a scale point on 7-point measures and similarly improved language comprehension. Effects did not depend on product category. Conceptually, the finding extends Persuasion Knowledge and Source Credibility perspectives to AI-authored messages: explicit disclosure signals honesty and perceived competence, reducing resistance and facilitating message processing. Practically, the takeaway is straightforward: adopting clear AI-disclosure cues (e.g., labels or Content Credentials) can enhance the trustworthiness and clarity of social media advertising without changing the creative itself. We outline actionable guidelines for managers and note boundary conditions and research opportunities (e.g., roles of brand reputation, AI familiarity, and platform context).
2026
Inglese
Inglese
Lecture Notes in Networks and Systems
Schiuma, G., Lerro, A.
Springer Science and Business Media Deutschland GmbH
Berlino
GERMANIA
1940
318
326
9
9783032236838
9783032236845
Internazionale
Ad Credibility; Artificial Intelligence; Language Comprehension; Social Media Advertising; Transparency
no
14.b Contributo in volume::14.b.1 Contributo in volume (Capitolo o Saggio)
Marozzo, Veronica; Cesaroni, Fabrizio; Abbate, Tindara
268
info:eu-repo/semantics/bookPart
3
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3362589
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