T/BCA 02-2020 Active Group standards

T/BCA 02-2020 Internet News Service Service Provider Content Management and Credentialing for Journalists Standardization Guidelines

Publish Date: 2020-09-16 Implement Date: 2020-10-16 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/BCA 02-2020

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: Economic and cultural

ICS Name: Other services

Publish Date: 2020-09-16

Implement Date: 2020-10-16

Scope

Main technical content: This standard focuses on combining multiple methods to enhance scientificity. Firstly, the literature analysis method is used to collect information on the construction of credit files for content management practitioners in domestic Internet news information service units, and to analyze the information to identify problems existing in the construction of credit files for content management practitioners in China's Internet news information service units. Secondly, the actual survey method is used. On the basis of relevant theoretical analysis, typical Internet news information service units are selected for investigation to specifically understand the education background, work process, and credit management status of content management practitioners in Internet news information service units, collect relevant credit information, and attempt to establish credit file information items and credit information analysis models from three dimensions: willingness to keep faith, ability to keep faith, and performance in keeping faith. Thirdly, the quantitative analysis method is used. Based on Zhongda Xin's unique VCS credit evaluation technology (Value, Competitiveness, Social Responsibility), the traditional practitioner credit evaluation indicators are analyzed to study the basic principles of setting credit evaluation indicators, indicator classification, and indicator selection methods. Combined with a large amount of data, the information items are simulated and analyzed to determine the factors affecting the credit information items of content management practitioners in Internet news information service units.