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            <namePart type="given">Christos</namePart>
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    <abstract>Text-to-image models are appealing for customizing visual advertisements and targeting specific populations. We investigate this potential by examining the demographic bias within ads for different ad topics, and the disparate level of persuasiveness (judged by models) of ads that are identical except for gender/race of the people portrayed. We also experiment with a technique to target ads for specific countries.</abstract>
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%0 Conference Proceedings
%T The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads
%A Aghazadeh, Aysan
%A Kovashka, Adriana
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Findings of the Association for Computational Linguistics: EMNLP 2025
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-335-7
%F aghazadeh-kovashka-2025-face
%X Text-to-image models are appealing for customizing visual advertisements and targeting specific populations. We investigate this potential by examining the demographic bias within ads for different ad topics, and the disparate level of persuasiveness (judged by models) of ads that are identical except for gender/race of the people portrayed. We also experiment with a technique to target ads for specific countries.
%U https://aclanthology.org/2025.findings-emnlp.344/
%P 6472-6500

Markdown (Informal)

[The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads](https://aclanthology.org/2025.findings-emnlp.344/) (Aghazadeh & Kovashka, Findings 2025)

• The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads (Aghazadeh & Kovashka, Findings 2025)

ACL

• Aysan Aghazadeh and Adriana Kovashka. 2025. The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads. In Findings of the Association for Computational Linguistics: EMNLP 2025, pages 6472–6500, Suzhou, China. Association for Computational Linguistics.