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- W2892493153 abstract "The Web 2.0 era brought convenience of information exchange, and also provided variety of channels for proliferation and rapid spread of rumors on the internet. It is necessary to achieve self-purification of the internet information with researching and using web mining technology to automatically identify rumors and inhibit their spread. By analyzing sources of rumors and differentiated acquisition strategies, the current status of web mining technologies, and the research findings about rumors features and recognition, it was constructed that a network rumor detection and early warning system which was composed of three layers and six modules, and structure, functions, processes, and implementation technology paths of the system were discussed. The strategy of collection data was proposing: the system obtains authentication rumor data from the authoritative refuting websites and extracts the topic to acquire potential rumors from massive Internet sites. The detection process of potential rumor information with automation was designed: the authentication rumor data was applied to train machine learning algorithm and to extract features, which were used to identify potential rumors information. It was put forward that the warning forms with marking suspicious rumors and topic-related links automatically on the web identified as rumors to prompt browsing users and guide the network administrators, so as to realize real-time monitoring and early warning of network rumors." @default.
- W2892493153 created "2018-10-05" @default.
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- W2892493153 date "2018-06-01" @default.
- W2892493153 modified "2023-09-25" @default.
- W2892493153 title "Construction on Framework of Rumor Detection and Warning System Based on Web Mining Technology" @default.
- W2892493153 doi "https://doi.org/10.1109/icis.2018.8466424" @default.
- W2892493153 hasPublicationYear "2018" @default.
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