discussion

Spatial, Temporal, and Relational Bounding in Digital Public Safety Communication

Digital case study research includes information derived from different platforms, areas, periods, and groups. Because of this, researchers it must clearly determine what will and will not be included in a study. Gallagher (2024) explains that establishing boundaries helps define the scope of a digital case while recognizing that those boundaries may change as the research develops. Spatial, temporal, and relational bounding provide three ways to establish this focus and keep the case manageable.

Spatial Bounding

Spatial bounding identifies where the cases are studied and which physical or digital areas will be included. Unlike simple cases, which may focus on a single physical location, digital cases can span social media platforms, websites, applications, and geographic areas (Gallagher, 2024). Waldherr et al. (2024) found that social media communication can remain connected to local communities while extending into broader digital networks. In public safety, spatial bounding could limit a study to an agency’s official social media platform and the community it serves.

Temporal Bounding

Temporal bounding identifies the time period included in the case. The establishing of a beginning and ending point is important because digital information and online activity can change quickly (Gallagher, 2024). For example, a public safety study could examine social media communication during a specific emergency, fire prevention campaign, or community safety initiative. Defining the timeframe helps determine which information should be collected and keeps the study focused.

Relational Bounding

Relational bounding identifies those people, organizations, relationships, and interactions included in the case (Gallagher, 2024). Public safety agencies may communicate online with residents, community organizations, other government agencies, and additional stakeholders. Ardinavičiūtė and Dobržinskienė (2025) discuss how public security organizations use social media to communicate and engage with the public. Relational bounding helps researchers determine which of these relationships are relevant to the study's purpose.

These three boundaries can work together when examining how a public safety organization uses social media to share emergency preparedness and safety information. In terms of spatial focus, the study could focus on the agency’s official social media platform. Temporally, it could examine communication during a specific emergency or safety campaign. Relationally, it could examine communication between the agency, community members, and other stakeholders. Xiao and Yu (2025) demonstrate that the way crisis information is communicated can influence stakeholder responses.

Closing

Overall, spatial, temporal, and relational bounding provides researchers with a practical way to establish the limits of a digital case study. Using these boundaries together prevents a study from becoming too broad while still allowing the researcher to examine important connectivity within the digital environment. In public safety, this approach can provide a focused way to examine how agencies communicate, interact with communities, and share important safety information through digital platforms.

References

Ardinavičiūtė, D., & Dobržinskienė, R. (2025). Public security communication on social media. Public Security and Public Order, 37(4), 509–524. https://doi.org/10.13165/PSPO-25-37-04-01

Gallagher, J. R. (2024). Case study research in the digital age. Routledge. https://doi.org/10.4324/9781003402169

Waldherr, A., Stoltenberg, D., Maier, D., Keinert, A., & Pfetsch, B. (2024). Translocal networked public spheres: Spatial arrangements of metropolitan Twitter. New Media & Society, 26(11), 6636–6657. https://doi.org/10.1177/14614448231156579

Xiao, Y., & Yu, S. (2025). Can ChatGPT replace humans in crisis communication? The effects of AI-mediated crisis communication on stakeholder satisfaction and responsibility attribution. International Journal of Information Management, 80, 102835. https://doi.org/10.1016/j.ijinfomgt.2024.102835