Research on Data News Propagation Path Based on the Big Data Algorithm
News propagation originates from a person/location, dwelling with an event that grabs significance. News data propagation relies on telecommunication and big data for precise content distribution and mitigation of false news. Considering these factors, the event-dependent data propagation technique...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/5600004 |
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| author | Zhoucheng Hao Yanan Liu Gang Wang |
| author_facet | Zhoucheng Hao Yanan Liu Gang Wang |
| author_sort | Zhoucheng Hao |
| collection | DOAJ |
| description | News propagation originates from a person/location, dwelling with an event that grabs significance. News data propagation relies on telecommunication and big data for precise content distribution and mitigation of false news. Considering these factors, the event-dependent data propagation technique (EDPT) was introduced to improve the data precision. These data refer to the news information originating and propagating from digital media. The data analysis considers the external factors for fake information and precise projection medium for preventing multiviewed false circulations. In this technique, the liability of the information is analyzed using a linear pattern support vector classifier. The data modification and propagation changes are classified based on liability information across the circulation time. The SVM classifier identifies these two factors with close liability validation, preventing false data. The data accumulation and analysis rates for the abovementioned classifications are performed in the propagation process using the classifier hyperplane. This plane is updated from the previous propagation point from which the events are identified. The proposed technique’s performance is analyzed using propagation accuracy, precision, false rate, time, and rate. |
| format | Article |
| id | doaj-art-d1f05f72b3c14288868647a882ed6ec3 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-d1f05f72b3c14288868647a882ed6ec32025-02-03T01:22:41ZengWileyInternational Transactions on Electrical Energy Systems2050-70382022-01-01202210.1155/2022/5600004Research on Data News Propagation Path Based on the Big Data AlgorithmZhoucheng Hao0Yanan Liu1Gang Wang2School of Media and CommunicationShandong Transport Vocational CollegeShandong Transport Vocational CollegeNews propagation originates from a person/location, dwelling with an event that grabs significance. News data propagation relies on telecommunication and big data for precise content distribution and mitigation of false news. Considering these factors, the event-dependent data propagation technique (EDPT) was introduced to improve the data precision. These data refer to the news information originating and propagating from digital media. The data analysis considers the external factors for fake information and precise projection medium for preventing multiviewed false circulations. In this technique, the liability of the information is analyzed using a linear pattern support vector classifier. The data modification and propagation changes are classified based on liability information across the circulation time. The SVM classifier identifies these two factors with close liability validation, preventing false data. The data accumulation and analysis rates for the abovementioned classifications are performed in the propagation process using the classifier hyperplane. This plane is updated from the previous propagation point from which the events are identified. The proposed technique’s performance is analyzed using propagation accuracy, precision, false rate, time, and rate.http://dx.doi.org/10.1155/2022/5600004 |
| spellingShingle | Zhoucheng Hao Yanan Liu Gang Wang Research on Data News Propagation Path Based on the Big Data Algorithm International Transactions on Electrical Energy Systems |
| title | Research on Data News Propagation Path Based on the Big Data Algorithm |
| title_full | Research on Data News Propagation Path Based on the Big Data Algorithm |
| title_fullStr | Research on Data News Propagation Path Based on the Big Data Algorithm |
| title_full_unstemmed | Research on Data News Propagation Path Based on the Big Data Algorithm |
| title_short | Research on Data News Propagation Path Based on the Big Data Algorithm |
| title_sort | research on data news propagation path based on the big data algorithm |
| url | http://dx.doi.org/10.1155/2022/5600004 |
| work_keys_str_mv | AT zhouchenghao researchondatanewspropagationpathbasedonthebigdataalgorithm AT yananliu researchondatanewspropagationpathbasedonthebigdataalgorithm AT gangwang researchondatanewspropagationpathbasedonthebigdataalgorithm |