The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads

Aysan Aghazadeh; Adriana Kovashka

EMNLP 20250 citations

The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads

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.

BibTeX

@inproceedings{emnlp2025_thefaceofpersuas,
  title = {The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads},
  author = {Aysan Aghazadeh and Adriana Kovashka},
  booktitle = {EMNLP 2025},
  year = {2025}
}