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  • Open Access

    ARTICLE

    Fair-News: Digital Journalism Model to Prevent Information Pollution and Manipulation

    Savaş Takan1,*, Duygu Ergün2,*, Gökmen Katipoğlu3

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6059-6082, 2023, DOI:10.32604/cmc.2023.039505

    Abstract As digital data circulation increases, information pollution and manipulation in journalism have become more prevalent. In this study, a new digital journalism model is designed to contribute to the solution of the main current problems, such as information pollution, manipulation, and accountability in digital journalism. The model uses blockchain technology due to its transparency, immutability, and traceability. However, it is tough to provide the mechanisms necessary for journalism, such as updating one piece of information, instantly updating all other information affected by the updated information, establishing logical relationships between news, making quick comparisons, sorting and indexing news, and keeping the… More >

  • Open Access

    ARTICLE

    Analysis and Prediction of New Media Information Dissemination of Police Microblog

    Leyao Chen, Lei Hong*, Jiayin Liu

    Journal of New Media, Vol.2, No.2, pp. 91-98, 2020, DOI:10.32604/jnm.2020.010125

    Abstract This paper aims to analyze the microblog data published by the official account in a certain province of China, and finds out the rule of Weibo that is easier to be forwarded in the new police media perspective. In this paper, a new topic-based model is proposed. Firstly, the LDA topic clustering algorithm is used to extract the topic categories with forwarding heat from the microblogs with high forwarding numbers, then the Naive Bayesian algorithm is used to topic categories. The sample data is processed to predict the type of microblog forwarding. In order to evaluate this method, a large… More >

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