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人工智能时代区块链下农村直播信息传播模型。

Information Dissemination Model in Rural Live Broadcasting under Blockchain in the Era of Artificial Intelligence.

机构信息

Shanxi Normal University, Taiyuan, China.

Shanxi Vocational College of Art, Taiyuan 030000, China.

出版信息

Comput Intell Neurosci. 2022 Jul 11;2022:4590578. doi: 10.1155/2022/4590578. eCollection 2022.

DOI:10.1155/2022/4590578
PMID:35860641
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9293503/
Abstract

This work aims to improve the information dissemination atmosphere of rural live broadcasting and ensure its long-term development. First, it studies and analyzes the current situation and characteristics of rural live broadcasting. Then, it discusses the blockchain (BC) technology and information dissemination mode in the era of artificial intelligence (AI). Finally, the characteristics of BC technology (BT) and the information dissemination model are discussed. A BT-optimized susceptible exposed infected recovered (SEIR) information dissemination model is proposed. The results show that the BT-optimized SEIR model has no effect on the traditional information transmission characteristics and can ensure the conventional transmission of all information. Additionally, BT can effectively improve the overall transmission efficiency of the SEIR model for false information and accurate information and effectively shorten the duration. Specifically, the BT-optimized SEIR model's maximum false information transmission proportion is reduced by about 13%. The duration is reduced by 15 days over the traditional model. By comparison, in positive information dissemination, the maximum transmission proportion of the proposed BT-optimized SEIR model is about 19% higher than the traditional model. The duration is about 30 days longer. The research provides technical support for controlling and improving the current situation and atmosphere of rural live broadcasting information dissemination.

摘要

本研究旨在改善农村直播的信息传播氛围，确保其长期发展。首先，研究分析了农村直播的现状和特点。然后，探讨了人工智能时代的区块链（BC）技术和信息传播模式。最后，讨论了 BC 技术（BT）和信息传播模型的特点。提出了一种 BT 优化的易感-暴露-感染-恢复（SEIR）信息传播模型。结果表明，BT 优化的 SEIR 模型对传统信息传输特征没有影响，可以保证所有信息的常规传输。此外，BT 可以有效提高 SEIR 模型中虚假信息和准确信息的整体传输效率，并有效缩短持续时间。具体来说，BT 优化的 SEIR 模型的最大虚假信息传输比例降低了约 13%。与传统模型相比，持续时间缩短了 15 天。相比之下，在正向信息传播中，提出的 BT 优化 SEIR 模型的最大传输比例比传统模型高约 19%。持续时间大约长 30 天。该研究为控制和改善农村直播信息传播的现状和氛围提供了技术支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/76ed5a0189d2/CIN2022-4590578.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/5921bf814ed3/CIN2022-4590578.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/26c4c344fea9/CIN2022-4590578.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/c4541a35d58e/CIN2022-4590578.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/76ed5a0189d2/CIN2022-4590578.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/5921bf814ed3/CIN2022-4590578.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/6889918dcd3f/CIN2022-4590578.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/c0467fc6b587/CIN2022-4590578.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/cfdaaaef2b37/CIN2022-4590578.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/acee03b44433/CIN2022-4590578.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/da6591d67bcb/CIN2022-4590578.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/3fe7a13c4cbb/CIN2022-4590578.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/26c4c344fea9/CIN2022-4590578.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/c4541a35d58e/CIN2022-4590578.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e03/9293503/76ed5a0189d2/CIN2022-4590578.010.jpg

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Retracted: Information Dissemination Model in Rural Live Broadcasting under Blockchain in the Era of Artificial Intelligence.撤回：人工智能时代区块链下农村直播中的信息传播模式。
Comput Intell Neurosci. 2023 Jul 26;2023:9845481. doi: 10.1155/2023/9845481. eCollection 2023.

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