Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.00934 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866918519617093632 |
|---|---|
| author | Chang, Ho-Chun Herbert Shaman, Benjamin Chen, Yung-chun Zha, Mingyue Noh, Sean Wei, Chiyu Weener, Tracy Magee, Maya |
| author_facet | Chang, Ho-Chun Herbert Shaman, Benjamin Chen, Yung-chun Zha, Mingyue Noh, Sean Wei, Chiyu Weener, Tracy Magee, Maya |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_00934 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections Chang, Ho-Chun Herbert Shaman, Benjamin Chen, Yung-chun Zha, Mingyue Noh, Sean Wei, Chiyu Weener, Tracy Magee, Maya Computers and Society Artificial Intelligence 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. |
| title | The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2411.00934 |