Addressing the Generation of False Information and Fake News by GPT Technology

DOI: https://doi.org/10.62517/jnme.202410406

Author(s)

Zeyang Feng1, Yue Wu2, Ying Zhang3, Zefeng Wang1,4

Affiliation(s)

1Anding College, Huzhou University, Huzhou, Zhejiang, China 2Henan College of Transportation, Zhengzhou, Henan, China 3School of Teacher Education, Huzhou University, Huzhou, Zhejiang, China 4School of Information Engineering, Huzhou University, Huzhou, Zhejiang, China

Abstract

With the rapid development of artificial intelligence technology, GPT (Generative Pre-Training) technology is being used more widely to coherently generate the text of articles, emails, and chat logs, which can have a profound impact on the news media, advertising, and content production industries. but poses the risk of spreading fake news and bad information at the same time. This paper explores strategies to deal with disinformation and fake news from four aspects: datasets, regulation, anti-fake information technology, and advocacy for proper use. More accurate datasets can be obtained for GPT by optimizing data sources, data cleansing, manual labeling, data sharing, and web crawler technology. By formulating laws, regulations, and industry standards, strengthening technical review and certification, establishing regulatory agencies, strengthening user education, anti-fake news technology, and advocating correct use, we can effectively deal with the problems of fake news and bad information dissemination brought by GPT technology. Therefore, strengthening the regulation and correct use of GPT technology is of great significance to maintain the information ecosystem.

Keywords

ChatGPT; False Information; Fake News; Technological Regulation; Accurate Datasets

References

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