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Explore the intersection of generative AI and visual politics in this seminar examining how synthetic media influenced the 2024 U.S. Presidential Election through Instagram. Learn about groundbreaking research that analyzed 239,526 Instagram images spanning seven months leading up to the election, revealing how AI-generated content combined with memes created powerful synergistic effects on user engagement. Discover the methodological approach that employed zero-shot labeling, deep learning, and OpenAI's generative classifier to identify visual themes and synthetic content, uncovering partisan asymmetries in generative AI usage. Examine findings from a large-scale survey experiment using conjoint analysis that combined framing experiments with randomly assigned text and images to measure the causal effects of AI-generated content on actual policy preferences. Understand how computational social science techniques were integrated with contemporary survey methods to produce rapid, ecologically-valid research during critical democratic events. Gain insights into the role of visual platforms in modern elections and the implications of sophisticated generative AI for information and misinformation campaigns about candidates and their policies.
