2025
EMNLP
EMNLP 2025
The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads
Abstract
AbstractText-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.
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Interdisciplinary Bridge
— Computer Vision and Deep Learning and Machine Learning
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Keyword Pioneer
— demographic bias analysis
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio