在线社会网络虚假信息检测关键技术研究综述

Survey on Key Technologies of Fake Information Detection in Online Social Networks

随着互联网技术的不断发展,在线社会网络在拉近人们彼此距离的同时也加速了虚假信息的传播速度,导致虚假信息充斥整个网络空间,严重危害社会、政治和经济秩序,影响公共安全。因此,研究虚假信息检测是一项必要而且重要的工作。首先,介绍了虚假信息检测的研究背景以及国内外研究现状;其次,介绍了虚假信息相关的概念、公开数据集和评价指标;再次,从内容特征和上下文特征两个方面对虚假信息检测技术进行了详细介绍;最后,归纳和总结了各种检测技术的优缺点,并对未来的工作进行了展望。

With the continuous development of Internet technology,online social networks have accelerated the spread of fake information while bringing people closer to each other,resulting in fake information flooding the entire cyberspace,which seriously endangers the social,political and economic order and affects public safety.Therefore,the study of fake information detection is a necessary and important task.First,the study background of fake information detection and the current status of domestic and international research are introduced.Then,concepts related to fake information,publicly available datasets and evaluation indicators are presented.Next,techniques for fake information detection are described in detail in terms of both content features and contextual features.Finally,the pros and cons of various detection techniques are summarized,and the potential avenues for future research are looked forward to.