首页> 外国专利> Qualitative system for determining fake news qualitative method for determining fake news and computer-readable medium having a program recorded therein for executing the same

Qualitative system for determining fake news qualitative method for determining fake news and computer-readable medium having a program recorded therein for executing the same

机译:确定假新闻的定性系统确定假新闻的定性方法和其中记录有用于执行该程序的程序的计算机可读介质

摘要

The qualitative fake news determination system of the present invention includes a user terminal and a server capable of communicating with the user terminal, and the server uses a data scraping technology to provide real news, fake news, and sources of each news. An information collection unit that collects news information including information; An estimating unit for grouping the news based on the similarity between the news and estimating a sharing pattern by analyzing the source information for each group; A probability value calculating unit that predicts a proportion of the fake news for each group based on the sharing pattern and the source information; A data set generator configured to generate a training data set by classifying each news into one or more classes based on the ratio; A database for storing the training data set; An artificial intelligence processing device for generating an artificial intelligence model by performing machine learning based on the training data set; And a request input unit that receives a request for determining fake news from the user terminal, wherein the artificial intelligence model is used to calculate a probability that the news displayed on the user terminal is fake. In the process of creating, sharing and disseminating news, you can understand the impact of fake news on the internet ecosystem, while providing insights on how to block or reduce fake news, and judge fake news.
机译:本发明的定性假新闻确定系统包括用户终端和能够与用户终端通信的服务器,该服务器使用数据抓取技术来提供真实新闻,假新闻以及每个新闻的来源。信息收集单元收集包括信息的新闻信息;估计单元,用于基于新闻之间的相似度对新闻进行分组,并通过分析每个组的源信息来估计共享模式;概率值计算单元,基于所述共享模式和所述源信息,为每个组预测假新闻的比例;数据集生成器,被配置为通过基于所述比率将每个新闻分类为一个或多个类别来生成训练数据集;用于存储训练数据集的数据库;一种用于通过基于训练数据集进行机器学习来生成人工智能模型的人工智能处理设备;一种请求输入单元,其从用户终端接收用于确定假新闻的请求,其中,人工智能模型用于计算在用户终端上显示的新闻是假的概率。在创建,共享和传播新闻的过程中,您可以了解虚假新闻对互联网生态系统的影响,同时提供有关如何阻止或减少虚假新闻以及判断虚假新闻的见解。

著录项

  • 公开/公告号KR20200106231A

    专利类型

  • 公开/公告日2020-09-14

    原文格式PDF

  • 申请/专利权人 글로벌사이버대학교 산학협력단;

    申请/专利号KR20190020905

  • 发明设计人 강장묵;박기남;

    申请日2019-02-22

  • 分类号G06F40/20;G06N3/02;

  • 国家 KR

  • 入库时间 2022-08-21 11:06:02

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