综述社交网络安全技术，应对虚假信息与自动化攻击。
A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects
- 系统梳理社交媒体中虚假信息的检测方法
- 分析现有技术在真实场景下的评估挑战
- 适合关注网络治理与信息安全的研究者
在当今数字时代，互联网尤其是社交媒体平台在塑造公众意见、态度和信念方面发挥着重要作用。然而，科学信息来源的可信度常因通过机器人、人机混合账户、网络水军、傀儡账号和深度伪造等技术手段传播的虚假信息而受到损害。这种对公共话语的操纵服务于敌对商业利益，威胁公民社会。为此，一门新兴的科学领域——社交网络安全应运而生。
原文摘要 · Abstract (English)
In today's digital era, the Internet, especially social media platforms, plays a significant role in shaping public opinions, attitudes, and beliefs. Unfortunately, the credibility of scientific information sources is often undermined by the spread of misinformation through various means, including technology-driven tools like bots, cyborgs, trolls, sock-puppets, and deep fakes. This manipulation of public discourse serves antagonistic business agendas and compromises civil society. In response to this challenge, a new scientific discipline has emerged: social cybersecurity.
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