有效打击虚假信息的动态系统的数学和计算机建模

Nugzar Kereselidze
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引用次数: 0

摘要

这项工作研究了有效打击虚假信息的动态系统的数学和计算机模型。在虚假信息在社会中传播的分区模型中,存在着这样一些公民群体:- 容易受到虚假信息影响的 "高危 "群体;- 接受虚假信息的 "专家 "群体;- 从一开始就拒绝接受虚假信息的 "免疫 "群体或未来的 "专家 "群体。作为衡量社会信息安全的一个标准,将引入 "追随者 "数量的障碍水平。计算机实验结果表明,信徒人数有可能出现不受控制的增长,从而威胁到整个社会的安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical and Computer Modeling of a Dynamic System for Effectively Combating Disinformation
The work investigated a mathematical and computer model of a dynamic system for effectively combating disinformation. In the compartmental model of false information dissemination in society, there are groups of citizens: - At risk, prone to the perception of misinformation; Adepts - those who accepted false information and with Immunity - those who rejected false information from the very beginning or future adepts. A barrier level for the number of adherents will be introduced as a measure of the information security of society. As a result of a computer experiment, the possibility of an uncontrolled growth in the number of adherents was identified, threatening the safety of society as a whole.
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CiteScore
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