一篇关于社交媒体虚假资料检测的综述文章

Shamim Ahmad, Dr. Manish Madhava Tripathi
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引用次数: 0

摘要

如今,几乎每个人,从年轻人到成年人,都花更多的时间在在线社交媒体平台上,与世界各地的人们联系和交换信息。社交网络正在成为与生活在世界不同地区的人们交流的流行手段。因为互联网和社交媒体平台带来了巨大的互联性和信息共享。这凸显了建立一个能够在社交媒体网络上检测虚假资料的系统的重要性。在这个领域已经做了很多研究,利用机器学习算法来识别虚假的个人资料、重复的、垃圾邮件和机器人账户,并且大多数虚假的个人资料账户都是使用机器学习算法有效识别的。本研究讨论了使用机器学习在社交网络上检测虚假个人资料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review Article on Detection of Fake Profile on Social-Media
Nowadays, practically everyone, from a youngster to an adult, spends more time on online social media platforms, connecting with and exchanging information with individuals all over the world. The social network is becoming a popular means to communicate with people who live in different parts of the world. Because of the tremendous interconnectedness and information sharing enabled by the internet, social media platforms. This highlights the importance of establishing a system capable of detecting fake profiles on social media networks. There has been a lot of study done in this area utilising machine learning algorithms to identify fake profile, duplicate, spam, and bot accounts, and most of the fake profile accounts were effectively recognised using machine learning algorithms. This study discusses fake profile detection on social networks using machine learning.
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