دورية أكاديمية

Internet False News Information Feature Extraction and Screening Based on 5G Internet of Things Combined with Passive RFID

التفاصيل البيبلوغرافية
العنوان: Internet False News Information Feature Extraction and Screening Based on 5G Internet of Things Combined with Passive RFID
المؤلفون: Dahai Hu, Qiong Xia
المصدر: Computational Intelligence and Neuroscience, Vol 2021 (2021)
بيانات النشر: Hindawi Limited
سنة النشر: 2021
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: In this paper, the authenticity of news information on the 5G Internet of Things (IoT) is studied, and a network false news information screening platform is designed and optimized by IoT combined with passive RFID. The electronic license chain based on data sovereignty is established, in which, combined with the identity identification and strong correlation ability based on the electronic license chain, a cross-industry, cross-business, and cross-field behavior record base database is formed; then, a digital library is constructed based on this base library; finally, through data sharing and management, a false news information feature extraction and screening platform is formed for the orderly management and reasonable dispatch of government resources and reducing various risks. The main functional modules implemented by the platform are the acquisition of news data and comment data, the retrieval and analysis of news data, the false detection of online news, and the visualization of false news data. However, there is still much public who are not aware or do not understand that news truth is this dynamic form. Therefore, this paper aims to inform the public that news truth in news context is a dynamic process by 5G Internet of Things combined with passive RFID. The public understands the circumstances where news truth may be dynamic truth to avoid being misled by false news.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1687-5273
العلاقة: http://dx.doi.org/10.1155/2021/9696472Test; https://doaj.org/toc/1687-5273Test; https://doaj.org/article/c22039d0dc21400c8b05d13b83f5d702Test
DOI: 10.1155/2021/9696472
الإتاحة: https://doi.org/10.1155/2021/9696472Test
https://doaj.org/article/c22039d0dc21400c8b05d13b83f5d702Test
رقم الانضمام: edsbas.F2813CDA
قاعدة البيانات: BASE
الوصف
تدمد:16875273
DOI:10.1155/2021/9696472