Research on the Challenges and Countermeasures of Online Public Opinion under Generative Artificial Intelligence
DOI:
https://doi.org/10.54097/gjdm0630Keywords:
Artificial Intelligence, AIGC, Online Public Opinion, Challenges, Strategies.Abstract
With the widespread application and sustained impact of AIGC (Artificial Intelligence Generated Content) technology, exemplified by Chat GPT, the ecology of online public opinion in the field of news communication is undergoing profound changes. The new characteristics of online public opinion, such as massive data, multimodal information, precise dissemination, content confusion, and efficient rate, present challenges including more complex information, emotional dissemination, intricate fields, and difficult judgment and analysis. To address these, responses can be formulated from macro, meso, and micro levels, including accelerating legislative standardization, identifying responsible entities, and enhancing personal literacy, thereby improving the governance capacity of public opinion.
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References
China Academy of Information and Communications Technology, JD Exploration Research Institute. White Paper on Artificial Intelligence Generated Content (AIGC) (2022) [EB/OL]. (2022-09-02) [Accessed 2023-08-16]. Available from: http://www.caict.ac.cn/kxyj/qwfb/bps/202209/t20220902_408420.htm.
Zhang Aijun, Jia Lu. Risk Patterns and Regulation of Online Public Opinion Security in the Context of ChatGPT-like Artificial Intelligence [J]. Journal of Intelligence: 1-8.
Zeng Xiao. New Thoughts on ChatGPT: Opportunities, Challenges, and Regulatory Strategies for News Content Production under the AIGC Model [J]. Publishing Wide Angle, 2023 (07): 57-61.
Zhang Aijun, Jia Lu. Risk Patterns and Regulation of Online Public Opinion Security in the Context of ChatGPT-like Artificial Intelligence [J]. Journal of Intelligence: 1-8.
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