The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads (2025.findings-emnlp)
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| Challenge: | Text-to-image models are appealing for customizing visual ads and targeting specific populations. |
| Approach: | We examine the disparate level of persuasiveness of ads that are identical except for gender/race of the people portrayed. |
| Outcome: | The proposed technique is based on a demographic bias analysis of ads for different topics and a disparate level of persuasiveness of ads that are identical except for gender/race of the people portrayed. |
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| Challenge: | Recent advances in text-to-image generative models have produced high quality images with a breakthrough of inference speed. |
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| Challenge: | systematically explore the predictive power of features derived from Persuasion Techniques detected in texts for different tasks of interest for media analysis. |
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ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation (2024.acl-long)
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Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan Reddy, Sunipa Dev
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Nationality Bias in Text Generation (2023.eacl-main)
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| Challenge: | Existing studies have shown that nationality biases in language models can be a factor in improving the performance of social NLP models. |
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| Challenge: | a new task to evaluate text-to-image generation models for multicultural scenes is unexplored. |
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How-to Guides for Specific Audiences: A Corpus and Initial Findings (2023.acl-srw)
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| Challenge: | wikiHow guides for specific target groups reflect disparate social norms and subtle stereotypes, a new study shows . wikihow guides are subject to subtle biases, and we aim to raise awareness of these inequalities in future work. |
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