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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v7i12.13431</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Empowering the Integration of Scientific Journals and New Media through AIGC: Model Innovation and Practical Pathways</title><url>https://artdesignp.com/journal/SSR/7/12/10.26689/ssr.v7i12.13431</url><author>HuangYanyan,PanMingzhi,LiangMingpei,WangLinkui,XieDandan</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>7</volume><issue>12</issue><history><date date-type="pub"><published-time>2025-12-31</published-time></date></history><abstract>The rapid development of Artificial Intelligence-Generated Content (AIGC) technology is profoundly transforming the publishing ecosystem of scientific journals. Based on the Diffusion of Innovations theory, this paper systematically explores the application models and innovative pathways of AIGC technology in the integration process of scientific journals and new media. The study finds that AIGC not only reconstructs the content production workflow of scientific journals but also drives fundamental changes in communication models. By analyzing typical domestic and international cases, this paper proposes a three-stage practical framework of "technology adaptation–process reengineering–ecosystem reconstruction," providing actionable implementation plans for the digital transformation of scientific journals. The research also highlights that in advancing AIGC applications, special attention must be paid to ethical norms, quality control, and talent development as critical issues.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>China Association for Science and Technology, 2023, Blue Book of China's Scientific Journals. Beijing: Science Press.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Brown T, 2020, Language Models are Few-Shot Learners. Advances in Neural Information Processing Systems, 33: 1877-1901.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Elsevier, 2022, Article Assistant: AI-Powered Literature Review Tool. Elsevier White Paper.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Springer Nature, 2021, AI in Academic Publishing: Current Applications and Future Prospects[R]. Nature Research.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Zhang L, Wang H, 2022, A Systematic Review of AI Applications in Scientific Publishing. Journal of Scholarly Publishing, 53(2): 45-67.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>IEEE, 2023, AI Topic Spotter: Identifying Emerging Research Trends. IEEE Transactions on Computational Social Systems.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Liu Y, 2023, AI-Assisted Scientific Writing: Benefits and Challenges. Science Editing, 10(1): 12-25.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Nature Publishing Group, 2022, AI-Powered Peer Review: A Pilot Study. Nature Machine Intelligence, 4(5): 456-470.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Wiley. Personalized Discovery: Enhancing Reader Engagement with AI. Wiley Insights Report, 2023.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Cell Press, 2023, Transforming Research Communication with AI Video Abstracts. Cell Reports Methods, 3(4): 100-115.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
