Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X
Using GPT-4o to detect AI-generated images in 2.5 million tweets about the 2024 U.S. Presidential Election on X, this study finds that about 12% of shared images are AI-generated; a small group of predominantly right-leaning, X Premium, bot-like superspreaders drives most AIGC dissemination; and their AI-image tweets receive more positive and less toxic responses.- doi
- 10.1145/3720553.3746675
- isbn
- 979-8-4007-1534-1
- name
- Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X
- source
- BITS XML + supplied PDF
- acm_url
- https://dl.acm.org/doi/10.1145/3720553.3746675
- authors
- Zhiyi Chen, Jinyi Ye, Beverlyn Tsai, Emilio Ferrara, Luca Luceri
- doi_url
- https://doi.org/10.1145/3720553.3746675
- license
- CC BY 4.0
- summary
- Using GPT-4o to detect AI-generated images in 2.5 million tweets about the 2024 U.S. Presidential Election on X, this study finds that about 12% of shared images are AI-generated; a small group of predominantly right-leaning, X Premium, bot-like superspreaders drives most AIGC dissemination; and their AI-image tweets receive more positive and less toxic responses.
- keywords
- (empty)
- arxiv_url
- https://arxiv.org/abs/2502.11248
- published
- 2025-09-15
- conference
- HT '25: 36th ACM Conference on Hypertext and Social Media, Chicago, IL, USA, September 15–19, 2025
- open_access
- true
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3720553.3746675
- ccs_concepts
- (empty)
- displayAuthor
- Zhiyi Chen, Jinyi Ye, Beverlyn Tsai, Emilio Ferrara, Luca Luceri
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3720553
- displayPublishTime
- 2025-09-15
- acm_reference_format
- (empty)
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