Provenance of data with rights and interests in online rumor data element circulation on social media.
Social media platforms, as the primary carriers of online rumor dissemination, enable users to gain profits from the platform through activities such as content creation, browsing, and sharing. However, the complexity of data rights and the attribution of responsibility hinders the comprehensive tra...
| Publicado en: | Humanities & Social Sciences Communications Vol. 12; no. 1; pp. 1 - 23 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
7/9/2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=186489876&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 186489876 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: MVR0 jtl: Humanities & Social Sciences Communications maglogo: N pubinfo: dt: 7/9/2025 vid: 12 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 186489876 10.1057/s41599-025-05437-z ppf: 1 ppct: 22 formats: tig: atl: Provenance of data with rights and interests in online rumor data element circulation on social media. aug: au: Zhao, Jianbo Liu, Huailiang Shu, Kai Fang, Qisen Tan, Chufan Su, Yue Wu, Lianyue Liu, Peijie Shen, Hai Tian, Jing affil: https://ror.org/05gcme754 Xi'an International Studies University, Xi'an, China Global South Economic and Trade Cooperation Research Center, Xi'an, China https://ror.org/05s92vm98 Xidian University, Xi'an, China su: Social media Online data processing Knowledge graphs Knowledge representation (Information theory) Representations of graphs Rumor sug: subj: Social media Online data processing Knowledge graphs Knowledge representation (Information theory) Representations of graphs Rumor keyword: Information and Computing Sciences Information Systems ab: Social media platforms, as the primary carriers of online rumor dissemination, enable users to gain profits from the platform through activities such as content creation, browsing, and sharing. However, the complexity of data rights and the attribution of responsibility hinders the comprehensive tracing of rumor propagation paths and the precise identification of data infringement subjects. By reusing 92 circulation processes from 13 data lifecycle models, this paper abstracts the circulation process of online rumor data elements, standardizes the "five rights separation" framework for data rights confirmation among ternary data subjects, and defines a Rights-and-Interests-Attributed Data Element. Through integration with PROV-O and ProVOC models, this paper constructs PROV-OCC—an ontological model for data with rights and interests provenance in rumor circulation—comprising 3 parent classes and 32 object properties. It implements a seven-element semantic representation combining W7 provenance technology and validates the model through ontological reasoning via knowledge graph representation of typical rumor cases, verifying its effectiveness in tracing data rights changes, infringement subjects, and propagation paths. The data provenance model supports the recovery and compensation of infringement-related profits, enabling the timely restoration of compromised trust and order for governments and platforms. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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