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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.14191 |
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| _version_ | 1866908410604158976 |
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| author | Gaba, Parth De Cristofaro, Emiliano |
| author_facet | Gaba, Parth De Cristofaro, Emiliano |
| contents | This paper presents a characterization of AI-generated images shared on 4chan, examining how this anonymous online community is (mis-)using generative image technologies. Through a methodical data collection process, we gathered 900 images from 4chan's /pol/ (Politically Incorrect) board, which included the label "/mwg/" (memetic warfare general), between April and July 2024, identifying 66 unique AI-generated images. The analysis reveals concerning patterns in the use of this technology, with 69.7% of images including recognizable figures, 28.8% of images containing racist elements, 28.8% featuring anti-Semitic content, and 9.1% incorporating Nazi-related imagery.
Overall, we document how users are weaponizing generative AI to create extremist content, political commentary, and memes that often bypass conventional content moderation systems. This research highlights significant implications for platform governance, AI safety mechanisms, and broader societal impacts as generative AI technologies become increasingly accessible. The findings underscore the urgent need for enhanced safeguards in generative AI systems and more effective regulatory frameworks to mitigate potential harms while preserving innovation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_14191 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board Gaba, Parth De Cristofaro, Emiliano Computers and Society This paper presents a characterization of AI-generated images shared on 4chan, examining how this anonymous online community is (mis-)using generative image technologies. Through a methodical data collection process, we gathered 900 images from 4chan's /pol/ (Politically Incorrect) board, which included the label "/mwg/" (memetic warfare general), between April and July 2024, identifying 66 unique AI-generated images. The analysis reveals concerning patterns in the use of this technology, with 69.7% of images including recognizable figures, 28.8% of images containing racist elements, 28.8% featuring anti-Semitic content, and 9.1% incorporating Nazi-related imagery. Overall, we document how users are weaponizing generative AI to create extremist content, political commentary, and memes that often bypass conventional content moderation systems. This research highlights significant implications for platform governance, AI safety mechanisms, and broader societal impacts as generative AI technologies become increasingly accessible. The findings underscore the urgent need for enhanced safeguards in generative AI systems and more effective regulatory frameworks to mitigate potential harms while preserving innovation. |
| title | The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2506.14191 |