Introduction
The article "Social Cybersecurity: An Emerging Science" delves into the interdisciplinary field of social cybersecurity, focusing on the intersection of social sciences, communication, and computer sciences. This review analyzes the article's relevance to social sciences principles, research questions, methods, data analysis, and its implications for marginalized groups and society.
Relevance to Social Sciences Principles
Carley (2020) demonstrates that social cybersecurity aligns with social science principles by examining human behavior, interactions, and societal impacts within the digital realm. Figure 1 shows the interlink of 43 disciplines that interlink. It integrates theories from diverse disciplines to understand and address cybersecurity challenges in the context of social networks and communication dynamics.
Research Questions and Hypotheses
The study explores various research questions related to social cybersecurity, primarily focusing on disinformation, user behavior on the web, and political influences. The article aims to investigate how artificial intelligence and social network analysis can enhance decision-making processes in cybersecurity.
Research Methods Used
The article employs social network analysis, data mining, and artificial intelligence techniques to analyze social cybersecurity issues. These methods provide insights into network structures, user behaviors, and information dissemination patterns in online environments.
Types of Data and Analysis
The study utilizes data from social media platforms and online communication channels to analyze trends, identify influential actors, and detect malicious activities such as bots and trolls. The analysis involves examining interactions, content, and sentiment to understand the dynamics of social cybersecurity threats.
Implications for Marginalized Groups
The article acknowledges the challenges faced by marginalized groups in the context of social cybersecurity. It highlights the importance of addressing issues of privacy, misinformation, and online manipulation that disproportionately affect vulnerable populations (Carley, 2020)
Contributions to Society
Overall, the study contributes valuable insights to society by advancing knowledge in the emerging field of social cybersecurity. By leveraging computational social science approaches, the research offers new tools and methodologies to enhance cybersecurity practices and decision-making processes in the digital domain, like the BEND framework.
The BEND framework
The BEND framework is a comprehensive approach in social cybersecurity that categorizes communication objectives and maneuvers into 16 distinct objectives, focusing on shaping social networks and narratives online. It goes beyond traditional concepts like the 4Ds to encompass a broader range of maneuvers impacting community dynamics and narrative structures. This framework provides valuable insights into influence campaigns, helping researchers and practitioners counter disinformation and malicious actors in the digital space (Carley, 2020).
Conclusion
In conclusion, "Exploring Social Cybersecurity: A Computational Social Science Perspective" comprehensively analyzes social cybersecurity issues and solutions. The study's interdisciplinary approach, research methods, and implications for marginalized groups underscore its significance in addressing contemporary cybersecurity challenges.

References
Carley, K.M. Social cybersecurity: an emerging science. Comput Math Organ Theory 26, 365–381 (2020). https://doi.org/10.1007/s10588-020-09322-9