Year: 2025
Type: article
Abstract: With the growing integration of artificial intelligence (AI) into advertising practices, questions arise regarding the semantic preferences exhibited by AI-generated content. This study conducts a linguistic analysis of the headlines of AI-generated responsive search ads created for Black Friday campaigns in the consumer electronics sector. The aim is to identify dominant semantic fields and to uncover underlying thematic structures in AI-driven promotional language. The analysis demonstrates a marked prevalence of lexical items associated with sales promotion and call-toaction domains, suggesting a consistent strategy aimed at stimulating consumer engagement. These findings offer novel insights into the linguistic patterns of AI-generated advertising and inform the development of more effective data-driven marketing strategies. The paper concludes by addressing methodological limitations and proposing directions for future research.
Source: Sylwan
DOI: 10.59879/afrdj
Author: Milana Vojvodic
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4410535139