The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections

Authors

  • Ho-Chun Herbert Chang Program in Quantitative Social Science, Dartmouth College
  • Yung-Chun Chen Program in Quantitative Social Science, Dartmouth College
  • Benjamin Shaman Program in Quantitative Social Science, Dartmouth College
  • Mingyue Zha Program in Quantitative Social Science, Dartmouth College
  • Sean Noh Program in Quantitative Social Science, Dartmouth College
  • Chiyu Wei Department of Mathematics, Dartmouth College
  • Tracy Weener Program in Quantitative Social Science, Dartmouth College
  • Maya Magee Program in Quantitative Social Science, Dartmouth College

DOI:

https://doi.org/10.1609/icwsm.v20i1.42647

Abstract

Visual content on social media has become increasingly influential in shaping political discourse and civic engagement, but it also limits participation due to the increased cost of multimedia production. In tandem, the growth of generative AI provides novel ways for citizens to participate in politics by lowering these costs. Drawing on a dataset of 239,526 Instagram images, we analyze the effects of synthetic images during the 2024 United States presidential election, using a multimodal workflow combining computer vision, large language models, and facial affect analysis. Results show that meme format is a stronger predictor of engagement than AI-generated content alone. However, AI-generated memes yield a significant interaction effect, suggesting synergistic increases in engagement when synthetic imagery is integrated with memes through human curation. We also characterize how users curate images. Partisans use AI in different ways: Democrat-leaning users tend to use it for in-group support, whereas Republican-leaning users more often employ it for out-group attacks. Users generally select happier synthetic faces compared to real photographs. We define generative memesis as a mode of communication in which memes are no longer shared person-to-person, but mediated by AI through customized visuals. We discuss how generative AI may empower civic participation, the bifurcation of content production and curation, and its implications for in the history of novel technologies and participatory culture.

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Published

2026-05-25

How to Cite

Chang, H.-C. H., Chen, Y.-C., Shaman, B., Zha, M., Noh, S., Wei, C., … Magee, M. (2026). The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections. Proceedings of the International AAAI Conference on Web and Social Media, 20(1), 435–451. https://doi.org/10.1609/icwsm.v20i1.42647