arXiv cs.CL· Emilio Ferrara·· 6 天前AI 评分24
用人工智能大规模研究漫画：PAGE 框架与美漫日漫三项研究
Studying Comics at Scale with Artificial Intelligence: The PAGE Framework and Three Studies of American Comics and Japanese Manga
AI 导读
研究者提出 PAGE 框架，用 AI 将每页漫画扫描解析为分镜、文本和书目记录，并以视觉语言模型按书面编码手册逐页标注，再用人工标注校准。该框架在 3,929 本美国漫画（1938–1956）和 87 卷日本漫画上完成三项研究，分别考察政治权力呈现、页面视觉形式与艺术家笔迹识别、以及两种漫画传统中的说话者归属。
正文 · 原文
Abstract:Comics are one of the great visual records of the twentieth century: hundreds of thousands of pages in which a mass readership saw its leaders, its wars and its heroes. Most of this record has never been studied as a whole; comics scholarship proceeds one book at a time. We argue that artificial intelligence, including generative models, can change this to the benefit of the medium itself. We propose PAGE, a framework that makes artificial intelligence an instrument for comics research. It parses every scan into panels, text and a bibliographic record; annotates each page with a vision-language model that follows a written codebook, as a human coder would; grounds samples of these readings in human annotation; and explains change across an archive, with estimates controlled for publisher and genre. We demonstrate the framework on 3,929 American comic books (1938--1956) and 87 volumes of Japanese manga, in three studies, each resting on a different capability. The first pairs text search with visual reading to recover how a mass medium portrayed political power. The second measures the page's visual form across an industry and recovers the hand of individual artists. The third follows who speaks across two comics traditions, checked against human annotation. Beyond research, the same instruments can make archives searchable by what is drawn, open comics to blind and low-vision readers, and help preserve fragile collections and credit uncredited artists. We outline a research agenda in which artificial intelligence strengthens the study, preservation and reach of the medium.
| Subjects: | Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.13840 [cs.AI] |
| (or arXiv:2610.13840v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.13840 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Emilio Ferrara [view email]
[v1]
Fri, 9 Oct 2026 16:49:29 UTC (12,594 KB)
来源：arXiv cs.CL · arxiv.org