特刊征稿| 创客经济中的人工智能

学术   2025-01-07 21:00   北京  


Global Media and China

Global Media and China是一本同行评审的综合传播学和媒体研究的OA 期刊。出版范围涵盖全球及中国视角下的中国媒体研究、数字平台研究、社交媒体及政策研究。该刊积极鼓励用定量和质性研究方法开展新方向、新领域的重要问题的研究。

影响因子:3.2



期刊网址

http://sage.cnpereading.com/journal/details/gcha



投稿网址

https://mc.manuscriptcentral.com/gmac


特刊主题简介


由大数据集和先进算法驱动的人工智能(AI)正在对全球媒体产生深远影响。它正在颠覆处理知识和信息的方法、传播和表现的模式,以及创意实践和文化生产。本特刊探讨AI对全球媒体研究的影响和后果,特别关注AI如何推动日益增长的创客经济。创客经济指的是大量内容通过可访问的AI应用程序进行制作、修改且获取受益,并在抖音/TikTok、YouTube、新浪微博、微信、Twitch、Bigo Live 和 Boomplay 等视听平台上传播的方式。


AI驱动的创客经济拓宽了内容创作的渠道,挑战了现有的文化生产“等级”制度,让数以百万计的媒体用户能够制作声音、文本和图像,并将音乐、视频、小说、戏剧、舞蹈、纪录片、游戏等进行交叉和组合。生成式基础架构——如转换模型和注意力机制,以及情绪性AI的进步——正在颠覆媒体生产关键概念的理解,如作者身份、原创性、共鸣和艺术表达。当然,这些问题不仅是概念性的,AI还对现有媒体职业、艺术技能教育、个人数据监管和知识产权管理提出了实际挑战。本特刊旨在探讨媒体研究中AI与创客经济之间未得到充分研究的交叉部分。


本特刊的支持期刊为Global Media and China


Issue Guest Editors 客座编辑

Keith Negus (Goldsmiths, University of London, UK, and University of Agder, Norway)

Qian Zhang (Communication University of China, Beijing)


Introduction: Artificial intelligence in the creator economy

Artificial Intelligence (AI), powered by large data sets and advanced algorithms, is having a profound impact upon the global media. It is disrupting approaches to knowledge and information, models of communication and representation, along with creative practices and cultural production. This special issue addresses the impacts and consequences of AI for the study of global media, by focusing specifically on how AI is driving a growing creator economy. The creator economy refers to the way ever more content is made, modified, and monetized, using accessible AI apps, across audio-visual platforms like Douyin/ TikTok, YouTube, Sina Weibo, WeChat, Twitch, Bigo Live, and Boomplay.


The AI driven creator economy has widened access to content creation, challenging existing hierarchies of cultural production by allowing millions of media users to produce sounds, texts, and images that cross and combine music, video, fiction, drama, dance, documentaries, gaming and more. Generative architectures, such as transformer models and attention mechanisms, along with advances in affective AI, are disrupting key concepts and understandings of media production such as authorship, originality, empathy, and artistic expression. The issues are not only conceptual. AI also poses practical challenges to existing media occupations, artistic skills education, the regulation of personal data, and intellectual property management.


Focus and objectives. This special issue seeks to explore the under-examined intersections of AI and the creator economy within media studies. We aim to:

- investigate how AI is reshaping creative practices and cultural production across global media systems.

- encourage interdisciplinary connections between media studies, the arts and humanities, social sciences, and technical disciplines such as computer science, AI engineering, and software studies.

- examine the practical implications of AI for creative industries and artistic practices.

- explore the regulatory, ethical, and pedagogical challenges posed by AI in the creator economy.

By engaging with these themes, the special issue will interrogate the integration of AI into the media and creative industries, contributing to knowledge and understanding while advancing theoretical frameworks.


Call for papers

We invite contributions that explore, explain, and critically interrogate the integration and influence of AI on creative practices and the media economy. Topics of interest include, but are not limited to, the following themes:


AI Architectures and Creative Production

- How are AI architectures, models, and systems being developed and applied in media production, and with what consequences for creativity and cultural expression?

- In what ways do algorithmic weights, biases, and training data influence the aesthetics, themes, and accessibility of AI-generated content?

- What tensions emerge between the digital abundance advanced by generative AI and the emphasis placed on cultural scarcity and artistic uniqueness as indicators of value?

Changing Roles in the Creator Economy

- Is the AI-driven creator economy providing new opportunities for underrepresented voices and emerging creators to gain recognition and revenue, or is it perpetuating existing inequalities?

- How do self-taught creators, using AI tools, challenge traditional pathways in creative education and disrupt existing cultural hierarchies?

Media Systems, Markets, and Platforms

- Does the integration of AI into creative platforms require scholars to rethink media theories, such as participatory culture, platform capitalism, or the public sphere?

- How do media platforms (e.g. Douyin, YouTube) enable or constrain the creative application of AI technologies through their infrastructures, policies, and economic priorities? 

Authorship, Regulation, and Ethics

- How is AI redefining concepts like authorship, originality, and ownership in creative production, and what are the implications for copyright and intellectual property law?

- Whose data is used in training AI models for the creative economy, and what ethical issues arise around credit, fair remuneration, and privacy?


Editorial note: The editorial introduction will highlight key points from the contributions, situate them within a broader context, and outline a framework for developing further research on AI in the creator economy.


Submission guidelines

The Journal invites contributions from scholars across media studies and related fields, including cultural studies, music and moving image studies, computer science, sociology, art history, and law. Papers should contribute to the thematic areas outlined above and advance critical debates within global media studies, and within the scope of the Journal.


Timeline

Please submit abstracts (maximum 500 words), with a brief biography (max 40 words) by 28 February 2025.

A decision on contributors, and notification of abstract acceptance will be made by 18 March 2025.

Deadline for submission of full papers is 26 September 2025. Submissions will be peer reviewed in accordance with the Journal’s guidelines. 

Acceptance of an abstract and submission of a paper does not guarantee publication.

Final paper. Completed papers should not exceed 8,000 words including all references, and be formatted according to the submission guidelines of Global Media and China.


Please submit your abstract to both editors: Keith Negus (K.Negus@gold.ac.uk) and Qian Zhang (zhangqian_cuc@cuc.edu.cn)


投稿链接:

mc.manuscriptcentral.com/gmac

编辑部邮箱:cuc_gmc@126.com


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