mlsanityData to 14 Oct 2026

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

arXiv 2504.04311 ↗First posted 6 Apr 2025cs.CR cs.AI cs.CYcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 31 of its 325 references that are in the map. First posted on arXiv 6 Apr 2025.

Builds on

31 of 325 references.

References · 31

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  2. 2019Defending Against Neural Fake Newscited by 559
  3. 2017Fake News Detection on Social Media: A Data Mining Perspectivecited by 336
  4. 2018FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Mediacited by 285
  5. 2020DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detectioncited by 233
  6. 2020Media Forensics and DeepFakes: an overviewcited by 209
  7. 2019Principles alone cannot guarantee ethical AIcited by 135
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  9. 2014The Rise of Social Botscited by 96
  10. 2021TwiBot-20: A Comprehensive Twitter Bot Detection Benchmarkcited by 51
  11. 2017Detecting Hate Speech in Social Mediacited by 42
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19 more
  1. 2018Universal Perturbation Attack Against Image Retrievalcited by 32
  2. 2021QAIR: Practical Query-efficient Black-Box Attacks for Image Retrievalcited by 22
  3. 2019The History of Digital Spamcited by 11
  4. 2020The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Toolscited by 9
  5. 2015Manipulation and abuse on social mediacited by 6
  6. 2017Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Mediacited by 6
  7. 2019Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Mediacited by 6
  8. 2019Cyberthreat Detection from Twitter using Deep Neural Networkscited by 6
  9. 2017Agent-based computing from multi-agent systems to agent-based Models: a visual surveycited by 4
  10. 2021A Comparative Study of Vulnerability Reporting by Software Composition Analysis Toolscited by 4
  11. 2013Friend or Foe? Fake Profile Identification in Online Social Networkscited by 3
  12. 2019Gathering Cyber Threat Intelligence from Twitter Using Novelty Classificationcited by 3
  13. 2018Discovering Signals from Web Sources to Predict Cyber Attackscited by 2
  14. 2020Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Streamcited by 2
  15. 2020Vulnerabilities Mapping based on OWASP-SANS: a Survey for Static Application Security Testing (SAST)cited by 2
  16. 2020Cybersecurity Dynamics: A Foundation for the Science of Cybersecuritycited by 2
  17. 2022CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Modelscited by 2
  18. 2018Detecting cyber threats through social network analysis: short surveycited by 1
  19. 2023CCTFv1: Computational Modeling of Cyber Team Formation Strategiescited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026A Framework for Using and Evaluating LLMs as Surrogate Experts in Security Surveys: Reliability, Bias, and Implicationscited by 0