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Journalists' Response and Reporting of Public Emergencies in the Era of Artificial Intelligence
In order to improve the response ability of journalists to public emergencies, this study uses the computer simulation research method, based on Shannon's information theory and the basic theory of journalism and communication, constructs the general model of public emergencies based on the sta...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800613/ https://www.ncbi.nlm.nih.gov/pubmed/35103076 http://dx.doi.org/10.1155/2022/6574365 |
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author | Lian, Shaoying Mi, Ruoyu Tang, Runhua |
author_facet | Lian, Shaoying Mi, Ruoyu Tang, Runhua |
author_sort | Lian, Shaoying |
collection | PubMed |
description | In order to improve the response ability of journalists to public emergencies, this study uses the computer simulation research method, based on Shannon's information theory and the basic theory of journalism and communication, constructs the general model of public emergencies based on the statistical results of big data, and constructs the irrational natural person game model of four types of news communication participants. In the simulation analysis, it is found that in the face of public emergencies, journalists, on the one hand, firmly implement the publicity caliber, strengthen the amount of creation, and improve the forwarding amount and approval amount of manuscripts under the artificial intelligence news system. On the other hand, they should achieve effective interaction with nonofficial news media such as we media, and the subjective news department should provide effective guidance and guidance to the media. |
format | Online Article Text |
id | pubmed-8800613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-88006132022-01-30 Journalists' Response and Reporting of Public Emergencies in the Era of Artificial Intelligence Lian, Shaoying Mi, Ruoyu Tang, Runhua Appl Bionics Biomech Research Article In order to improve the response ability of journalists to public emergencies, this study uses the computer simulation research method, based on Shannon's information theory and the basic theory of journalism and communication, constructs the general model of public emergencies based on the statistical results of big data, and constructs the irrational natural person game model of four types of news communication participants. In the simulation analysis, it is found that in the face of public emergencies, journalists, on the one hand, firmly implement the publicity caliber, strengthen the amount of creation, and improve the forwarding amount and approval amount of manuscripts under the artificial intelligence news system. On the other hand, they should achieve effective interaction with nonofficial news media such as we media, and the subjective news department should provide effective guidance and guidance to the media. Hindawi 2022-01-22 /pmc/articles/PMC8800613/ /pubmed/35103076 http://dx.doi.org/10.1155/2022/6574365 Text en Copyright © 2022 Shaoying Lian et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lian, Shaoying Mi, Ruoyu Tang, Runhua Journalists' Response and Reporting of Public Emergencies in the Era of Artificial Intelligence |
title | Journalists' Response and Reporting of Public Emergencies in the Era of Artificial Intelligence |
title_full | Journalists' Response and Reporting of Public Emergencies in the Era of Artificial Intelligence |
title_fullStr | Journalists' Response and Reporting of Public Emergencies in the Era of Artificial Intelligence |
title_full_unstemmed | Journalists' Response and Reporting of Public Emergencies in the Era of Artificial Intelligence |
title_short | Journalists' Response and Reporting of Public Emergencies in the Era of Artificial Intelligence |
title_sort | journalists' response and reporting of public emergencies in the era of artificial intelligence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800613/ https://www.ncbi.nlm.nih.gov/pubmed/35103076 http://dx.doi.org/10.1155/2022/6574365 |
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