Research on the mechanism of organizing and managing mainstream integrated media information resources in the era of big data
As mainstream integrated media assumes increasing importance in guiding public opinion, achieving efficient organization and management of its information resources within the context of big data and the information economy has become a fundamental cornerstone for its development and value creation. This paper focuses on the content and dissemination characteristics of mainstream integrated media information, constructs a model for its organization and management, and examines various aspects such as decentralized information collection, multimodal resource processing, semantic feature extraction, information unit construction and association, information chain traceability, and simulation results. Additionally, it proposes management strategies and countermeasures from a comprehensive perspective of the entire information organization chain. The developed organization and management mechanism aligns with the evolving requirements of mainstream integrated media in the big data era, providing a foundation for the deep utilization and enhancement of information value.
Authors
- Guoli Qu (ORCID: https://orcid.org/0000-0002-2043-3650)
- Jindong Cui (ORCID: https://orcid.org/0000-0002-5491-7995)
- Chenyu Li (ORCID: https://orcid.org/0000-0002-1687-9676)
- C. Bao (ORCID: https://orcid.org/0009-0007-3766-8775)
Institutions
- Electric Power University (VN)
- Northeast Electric Power University (CN)
Publication Details
- Journal
- Expert Systems with Applications
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1016/j.eswa.2024.126128
- Citations
- 2
- Primary Topic
- Big Data Technologies and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.10
Funders
- National Office for Philosophy and Social Sciences
- National Social Science Fund of China