Study on the Dissemination Effect of AIGC Generated Content on New Media Platforms

Lunqiang Chen

doi:10.62051/ijcsit.v6n2.04

Authors

Lunqiang Chen

DOI:

https://doi.org/10.62051/ijcsit.v6n2.04

Keywords:

AIGC, New media platform, Communication effect, Influencing factors, Optimization path

Abstract

With the rapid advancement of AIGC technology, its potential in content creation—from text to images and videos—has grown significantly. New media platforms, known for their wide reach and interactivity, offer vast opportunities for AIGC dissemination. While AIGC enhances production efficiency, meeting high content demands, its effectiveness on evolving platforms remains uncertain. Scholars remain skeptical about AI replacing human creativity. As traditional media adapt to digital platforms, AIGC emerges as a disruptive force in the public opinion arena. Optimizing its dissemination on new media is now a critical challenge.

Downloads

Download data is not yet available.

References

[1] Dong Suqing. Potential Risks and Prevention Measures of Intelligent Content Generation in News Communication [J]. China City Newspaper, 2025, (01):70-72. DOI: 10.16763/j.cnki.1007-4643.2025.01.021.

[2] Xie Yungeng, Liu Rui. The Evolution of Opinion Leaders in the AIGC Era: Trends and Challenges [J]. Editor's Friend, 2024, (12):73-80. DOI: 10.13786/j.cnki.cn14-1066/g2.2024.12.009.

[3] Yu Jun. AIGC Empowers the High-Quality Development of Digital Cultural Industry [J]. Information Construction, 2024, (11):24-27.

[4] Qi Haixia. Content Review Responsibility of Digital Publishing Platforms in AIGC Risk Governance [J]. Publishing and Distribution Research, 2024, (09):79-86+31. DOI: 10.19393/j.cnki.cn11-1537/g2.2024.09.013.

[5] Jia Xiaowei. Ethical Risks of Generative AI Products in Content Production from the Perspective of Human-Machine Communication [D]. Ningxia University, 2024.

[6] Li Xiang, Yu Zhixing. Generative AI Empowering Film Content Production and Distribution: Conceptual Evolution, Technological Impact, and Innovative Applications [J]. Film Literature, 2024, (10):47-51.

[7] Chen Junkai. Research on the Construction of Information Disclosure Mechanism for AI Generated Content [J]. China Science and Technology Forum, 2024, (03):160-167+176. DOI: 10.13580/j.cnki.fstc.2024.03.016.

[8] Wang Fengxiang, Li Yitong. AI-generated content forms a paradigm revolution in news dissemination [J]. Urban Studies, 2023, 44(06):60-66.

[9] Song Weifeng. Generative AI Communication Paradigm: Copyright Risks and Regulatory Framework for AI Generated Content —— Initiated by the World's First AIGC Infringement Case [J]. Journalism, 2023, (10):87-96. DOI: 10.15897/j.cnki.cn51-1046/g2.20231026.001.

[10] Yu Guoming, Li Fan., Content Paradigm Revolution: An Ecological Evolution of Content Production in the Wave of Generative AI [J]. Journalism, 2023, (07):23-30. DOI: 10.15897/j.cnki.cn51-1046/g2.20230704.001.

[11] Cai Jinjin. The Impact of AIGC on the Production and Dissemination System of All-Media and Countermeasures [J]. Media, 2023, (10):16-20.

[12] Liu Zhifeng, Wu Yaping, Wang Jimin. The Impact of AI Generated Content Technology on Knowledge Production and Dissemination [J]. Journal of Information Science, 2023, 42(07):123-130.

[13] Thilakarathna K, Seneviratne A, Viana C A, [13] Thilakarathna K, Seneviratne A, Viana C A, et al. User generated content dissemination in mobile social networks through infrastructure supported content replication [J]. Pervasive and Mobile Computing, 2014, 11132-147.