Title: Risk assessment of network public opinion information circle based on CAFA-BP algorithm

Authors: Qianqian Zheng

Addresses: Zhengzhou Health College, Zhengzhou, China

Abstract: To address the issues of low coverage of influencing factors, low evaluation accuracy and long response time in current risk assessment methods for network public opinion information circle dissemination, a risk assessment method of network public opinion information circle based on CAFA-BP algorithm is proposed. Optimise the LSTM model through attention mechanism, use the optimised LSTM model to predict the popularity of network public opinion and determine the factors affecting communication risk based on the popularity of network public opinion. Using CAFA algorithm to optimise BP neural network, establish a risk assessment model based on CAFA-BP algorithm and use this model to determine the risk value of network public opinion information circle propagation. The experimental results show that the maximum coverage rate of the influencing factors of the proposed method is 98.56%, the evaluation accuracy varies between 94.58% and 97.62% and the response time varies between 1.23 s and 1.69 s.

Keywords: CAFA-BP algorithm; network public opinion information circle; risk assessment; popularity of network public opinion.

DOI: 10.1504/IJIPT.2025.150234

International Journal of Internet Protocol Technology, 2025 Vol.18 No.4, pp.199 - 209

Received: 28 Feb 2025
Accepted: 29 Apr 2025
Published online: 04 Dec 2025 *

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