Influence Assessment of Pornography-Related Cryptograms Based on ChatGPT-4o
In order to optimise the network monitoring strategy, objectively and accurately analyse the propagation trend and characteristics of different types of pornographic cryptic expressions, and identify the cryptic expressions with greater influence, this article propose a method to assess the influence of pornographic cryptic expressions based on ChatGPT-4o. With the help of knowledge graph to make the content of cryptic text structured, and the frequency of cryptic appearances, the transmission path, and the number of people involved as the factors for assessing the influence of cryptic phrases, the pornography-related cryptic phrases are quantified. Firstly, this article use ChatGPT-4o to preprocess data and extract knowledge from the text corpus of pornography-related cryptic phrases through multiple rounds of Q&A, and construct a knowledge graph in the field of pornography-related cryptic phrases in a low-resource, fast and timely manner, and statistically analyse the frequency of cryptic phrases, propagation paths, the number of people involved and other types of factors based on the knowledge graph, and abstract the impact of different cryptic phrases into impact factors, and use the impact factors to depict the propagation trend and propagation characteristics for comprehensive analysis. The impact of different types of anaphors is abstracted into influence factors, and the influence factors are used to portray the propagation trend and characteristics for comprehensive analysis and judgement. By analyzing the existing cryptic data and calculating the impact factor of cryptic types, we obtained the changes of the impact factor of different cryptic types, verified the scientificity and validity of the impact factor calculation method, and provided a new method and idea for the evaluation of pornographic cryptic language. Combining the advantages of ChatGPT-4o and Knowledge Graph helps to grasp the change trend of cryptic communication in a timely manner, provides powerful support and guidance for network regulation, and is of great significance for protecting social morality and youth's health.
Authors
- Yilei Wang (ORCID: https://orcid.org/0000-0001-8616-6922)
- Yijun Yang
- Guancheng Chen
- Sujia Yin
- Shiqi Li
Publication Details
- Journal
- Highlights in Science Engineering and Technology
- Published
- 2025-03-31
- DOI
- https://doi.org/10.54097/zvhh5r29
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00