标题： 谣言及其来源在社交网络中的检测：全面综述 显示英文标题

标题： Detection of Rumors and Their Sources in Social Networks: A Comprehensive Survey

摘要： 随着社交网络平台技术的最新进展，大量信息正在迅速传播。 在这种情况下，辨别哪些信息是虚假的或真实的可能会变得越来越困难。 如果虚假信息大量传播，可能会导致不良后果。 因此，当我们接收到一些信息时，可以提出以下两个问题： $(i)$该信息是否真实？ $(ii)$如果不是，是谁最初传播了这条信息？ % 第一个问题就是谣言检测问题，第二个问题是谣言源头检测问题。 谣言检测问题涉及通过各种通信渠道，尤其是在线平台和社交媒体，识别和缓解虚假或误导性信息。 谣言可以从无害的谣言到旨在欺骗或操纵受众的故意误导内容。 检测错误信息对于维护信息生态系统的完整性以及防止虚假信念的传播、极化甚至社会危害等有害影响至关重要。 因此，在快速区分此类错误信息的同时找到其来源以阻止其在网络上传播非常重要。 然而，现有的大多数调查都是分别分析这两个问题。 在这项工作中，我们首先对谣言检测和谣言源头检测问题的现有研究进行调查，并同时采用联合检测方法。 % 本综述同时处理这两个问题，以便观察它们之间的关系，并说明这两个问题的相似性和差异性。 还解释了谣言检测、谣言源头检测及其组合问题所带来的局限性，并提出了未来工作需要解决的一些挑战。 显示英文摘要

摘要： With the recent advancements in social network platform technology, an overwhelming amount of information is spreading rapidly. In this situation, it can become increasingly difficult to discern what information is false or true. If false information proliferates significantly, it can lead to undesirable outcomes. Hence, when we receive some information, we can pose the following two questions: $(i)$ Is the information true? $(ii)$ If not, who initially spread that information? % The first problem is the rumor detection issue, while the second is the rumor source detection problem. A rumor-detection problem involves identifying and mitigating false or misleading information spread via various communication channels, particularly online platforms and social media. Rumors can range from harmless ones to deliberately misleading content aimed at deceiving or manipulating audiences. Detecting misinformation is crucial for maintaining the integrity of information ecosystems and preventing harmful effects such as the spread of false beliefs, polarization, and even societal harm. Therefore, it is very important to quickly distinguish such misinformation while simultaneously finding its source to block it from spreading on the network. However, most of the existing surveys have analyzed these two issues separately. In this work, we first survey the existing research on the rumor-detection and rumor source detection problems with joint detection approaches, simultaneously. % This survey deals with these two issues together so that their relationship can be observed and it provides how the two problems are similar and different. The limitations arising from the rumor detection, rumor source detection, and their combination problems are also explained, and some challenges to be addressed in future works are presented.