研究广告中性别种族偏见，生成更符合文化背景的定制化广告
The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads
- 分析不同主题广告中的群体偏见，对比同图异人像的说服力差异
- 发现相同广告中女性/少数族裔形象说服力显著低于白人男性
- 提出文化适配广告生成方法，适用于跨区域营销场景
文本到图像模型在定制化视觉广告和针对特定人群方面具有潜力。我们通过分析不同广告主题下的群体偏见，以及仅在人物性别/种族上不同的广告在说服力上的差异（由模型判断），探索这一潜力。同时，我们还实验了一种针对特定国家的广告投放技术。代码已公开于 https://github.com/aysanaghazadeh/FaceOfPersuasion。
原文摘要 · Abstract (English)
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. The code is available at https://github.com/aysanaghazadeh/FaceOfPersuasion
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