大数据技术在处理假新闻(骗局)内容中的应用

Ahmad Budi Setiawan, Bambang Mudjiyanto
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引用次数: 0

摘要

大数据技术是一种现象,许多组织试图将其集成到他们的业务流程中,以获得附加价值并支持业务流程。大数据的用途多种多样,其中之一就是处理带有负面影响的互联网内容。随着互联网上负面内容的传播越来越多,尤其是恶作剧,通信和信息部利用大数据技术为各种利益相关者提供了处理恶作剧的便利。目前进行的互联网内容监控主要是通过人工抓取,控制名为Trust +的负面内容,基于域名服务器(DNS System)技术,阻断机制只能通过域名和/或服务器名称来实现。通过使用采用大数据技术的AIS机器,可以加快手动抓取负面内容的过程。这台机器没有提供“杀手武器”网站、社交媒体账户、新闻门户网站等。本研究通过定性方法描述了在AIS机器上使用大数据技术监测互联网负面内容的情况。这项研究的结果概述了大数据技术在处理负面互联网内容方面的应用,尤其是恶作剧的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Utilization of Big Data Technology in Handling Fake News (Hoax) Content
Big Data technology is a phenomenon and many organizations try to integrate it into their business processes to get added value and also support business processes. Big Data can be utilized in various ways, one of which is the handling of negatively charged Internet content. Along with the increasing dissemination of negatively charged internet content, especially hoaxes, the Ministry of Communication and Information facilitated various kinds of stakeholders in handling the hoax using the utilization of Big Data technology. Internet content monitoring carried out so far is through manual crawling, controlling negative content named Trust + based on Domain Name Server (DNS System) technology where the blocking mechanism can only be done by using a domain name and / or server name . By utilizing AIS machines that adopt Big Data technology, it can speed up the process of crawling negative content that has been done manually. The machine was not provided with a "killer weapon" site, social media accounts, news portals, and others. This study was conducted through a qualitative approach to describe the use of Big Data technology on AIS machines in monitoring negative internet content. The results of this study outline the use of Big Data technology in terms of handling negative internet content, especially dissemination of hoaxes.
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