CRAICYLGSIApr 6, 2025

A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects

arXiv:2504.04311v113 citationsh-index: 30Comput Hum Behav Rep
Originality Synthesis-oriented
AI Analysis

This is a survey paper, so it is incremental, summarizing existing work rather than introducing new methods.

The paper addresses the problem of misinformation spread via social media using technology-driven tools, surveying techniques for attack detection, evaluations, challenges, and future prospects in the emerging field of social cybersecurity.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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