基于社交媒体的谣言检测模型研究综述

A review of rumor detection models based on social media

社交媒体已经成为当今社会信息交流高速发展的最主要工具之一,因其具有传播速度快、范围广等优势,为人们了解新闻时事、人际交流、发表言论带来了极大的便利。但同时由于言论自由度高,以及信息发布监管不到位,给谣言的滋生带来了大量的生长空间。谣言即未经证实的虚假信息,不法分子会趁机捏造事实来蛊惑和误导大众,严重的将会造成社会经济受损以及社会秩序动荡。应对社交媒体中的大量信息,需要构建相应的谣言检测模型来甄别谣言信息。因此文章将现有的谣言检测模型研究分为基于文本特征、基于传播结构特征以及基于多模态特征的谣言检测模型,并对这三种谣言检测模型进行介绍和总结。

Social media has become one of the most important tools for the rapid development of information exchange in today’s society.With its advantages of fast transmission and wide range,social media has brought great convenience for people to understand news and current affairs,communicate with others and make comments.But at the same time,due to the high freedom of speech and information release supervision is not in place,the breeding of rumors has brought a lot of room for growth.Rumors are unverified false information,lawbreakers will take the opportunity to fabricate facts to confuse and mislead the public,serious will cause social economic damage and social order turmoil.To deal with the large amount of information in social media,it is necessary to build a corresponding rumor detection model to screen the rumor information.Therefore,this paper divides the existing rumor detection models into the rumor detection models based on text features,propagation structure features and multimodal features,and introduces and summarizes the three rumor detection models.