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 statisti...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2022/6574365 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832549485349175296 |
|---|---|
| author | Shaoying Lian Ruoyu Mi Runhua Tang |
| author_facet | Shaoying Lian Ruoyu Mi Runhua Tang |
| author_sort | Shaoying Lian |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-fd2bb9c8fff544d78776edff61e0ef66 |
| institution | Kabale University |
| issn | 1754-2103 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-fd2bb9c8fff544d78776edff61e0ef662025-02-03T06:11:18ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/6574365Journalists’ Response and Reporting of Public Emergencies in the Era of Artificial IntelligenceShaoying Lian0Ruoyu Mi1Runhua Tang2School of Communication and DesignSchool of Communication and DesignSchool of Journalism and CommunicationIn 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.http://dx.doi.org/10.1155/2022/6574365 |
| spellingShingle | Shaoying Lian Ruoyu Mi Runhua Tang Journalists’ Response and Reporting of Public Emergencies in the Era of Artificial Intelligence Applied Bionics and Biomechanics |
| 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 |
| url | http://dx.doi.org/10.1155/2022/6574365 |
| work_keys_str_mv | AT shaoyinglian journalistsresponseandreportingofpublicemergenciesintheeraofartificialintelligence AT ruoyumi journalistsresponseandreportingofpublicemergenciesintheeraofartificialintelligence AT runhuatang journalistsresponseandreportingofpublicemergenciesintheeraofartificialintelligence |