Identifying Fake News from the Variables that Governs the Spread of Fake News.
Identifying Fake News from the Variables that Governs the Spread of Fake News.
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从控制假新闻传播的变量中识别假新闻。
DOI：
10.1109/smap49528.2020.9248453
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
F. Safieddine
中科院分区：
文献类型：
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作者：
Milan Dordevic;Pardis Pourghomi;F. Safieddine
一些研究人员试图调查控制和支持假新闻传播的过程。本文整理并识别了这些变量。然后，本文根据该过程中涉及的三个关键参与者对这些变量进行分类：用户、内容和社交网络。为了完成这项任务，作者对文献进行了广泛的回顾，并反思了该过程中涉及的关键变量。该论文总共确定了二十七个变量。然后，本文提出了一系列任务，以在一个整体过程中减轻或消除这些变量，该过程可以自动化，以减少或消除假新闻传播。最后，本文建议进一步研究在实验室条件下测试该方法。
Several researchers have attempted to investigate the processes that govern and support the spread of fake news. This paper collates and identifies these variables. The paper then categorizes these variables based on three key players that are involved in the process: Users, Content, and Social Networks. To complete this task, the authors conducted an extensive review of the literature and a reflection on the key variables that are involved in the process. The paper has identified a total of twenty-seven variables. Then the paper presents a series of tasks to mitigate or eliminate these variables in a holistic process that could be automated to reduce or eliminate fake news propagation. Finally, the paper suggests further research into testing the method in lab conditions.