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,确定假新闻的定性方法的定性系统,以及在其中记录其中的程序的计算机可读介质进行执行相同的程序

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 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, according to which, 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能够与用户终端通信的用户终端和服务器,并且服务器使用数据刮擦技术来提供每个新闻的真实新闻,假新闻和来源。信息收集单元收集包括信息的新闻信息;基于新闻之间的相似性对新闻进行分组的估计单元,并通过分析每个组的源信息来估计共享模式;一种概率值计算单元,其基于共享模式和源信息预测每个组的假新闻的比例;数据集生成器被配置为基于该比率将每个新闻分类为一个或多个类来生成培训数据;存储培训数据集的数据库;一种人工智能处理装置,用于通过基于训练数据集执行机器学习来生成人工智能模型的装置;和一个请求输入单元,其接收来自用户终端确定假新闻的请求,其中,人工智能模型用于计算用户终端上显示的新闻是假的概率,根据该概率,在创建过程中,分享和传播新闻,您可以了解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假新闻的见解,并判断假新闻。

著录项

  • 公开/公告号KR102242317B1

    专利类型

  • 公开/公告日2021-04-21

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020190020905

  • 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 2022-08-24 18:27:03

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