Abstract
Local citizens can use social media such as Twitter to share and receive critical information before, during, and after emergencies. However, standard methods of identifying local citizens on Twitter discover only a small proportion of local users in a geographic area. To better identify local citizens and their social media sources for local information, we explore the information infrastructure of a local community that is constituted prior to emergencies through the everyday social network curation of local citizens. We hypothesize that investigating social network ties among local organizations and their followers may be key to identifying local citizens and understanding their local information seeking behaviors. We describe Social Triangulation as a method to identify local citizens vis-à-vis the local organizations they follow on Twitter, and evaluate our hypothesis by analyzing users' profile location information. Lastly, we discuss how Social Triangulation might support community preparedness by informing emergency communications planning.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 902-915 |
| Number of pages | 14 |
| Journal | Proceedings of the International ISCRAM Conference |
| Volume | 2017-May |
| State | Published - Jan 1 2017 |
| Event | 14th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2017 - Albi, France Duration: May 21 2017 → May 24 2017 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
- Information Systems and Management
- Electrical and Electronic Engineering
Cite this
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Social triangulation : A new method to identify local citizens using social media and their local information curation behaviors. / Grace, Rob; Kropczynski, Jess; Pezanowski, Scott; Halse, Shane; Umar, Prasanna; Tapia, Andrea.
In: Proceedings of the International ISCRAM Conference, Vol. 2017-May, 01.01.2017, p. 902-915.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Social triangulation
T2 - A new method to identify local citizens using social media and their local information curation behaviors
AU - Grace, Rob
AU - Kropczynski, Jess
AU - Pezanowski, Scott
AU - Halse, Shane
AU - Umar, Prasanna
AU - Tapia, Andrea
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Local citizens can use social media such as Twitter to share and receive critical information before, during, and after emergencies. However, standard methods of identifying local citizens on Twitter discover only a small proportion of local users in a geographic area. To better identify local citizens and their social media sources for local information, we explore the information infrastructure of a local community that is constituted prior to emergencies through the everyday social network curation of local citizens. We hypothesize that investigating social network ties among local organizations and their followers may be key to identifying local citizens and understanding their local information seeking behaviors. We describe Social Triangulation as a method to identify local citizens vis-à-vis the local organizations they follow on Twitter, and evaluate our hypothesis by analyzing users' profile location information. Lastly, we discuss how Social Triangulation might support community preparedness by informing emergency communications planning.
AB - Local citizens can use social media such as Twitter to share and receive critical information before, during, and after emergencies. However, standard methods of identifying local citizens on Twitter discover only a small proportion of local users in a geographic area. To better identify local citizens and their social media sources for local information, we explore the information infrastructure of a local community that is constituted prior to emergencies through the everyday social network curation of local citizens. We hypothesize that investigating social network ties among local organizations and their followers may be key to identifying local citizens and understanding their local information seeking behaviors. We describe Social Triangulation as a method to identify local citizens vis-à-vis the local organizations they follow on Twitter, and evaluate our hypothesis by analyzing users' profile location information. Lastly, we discuss how Social Triangulation might support community preparedness by informing emergency communications planning.
UR - http://www.scopus.com/inward/record.url?scp=85030670842&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030670842&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85030670842
VL - 2017-May
SP - 902
EP - 915
JO - Proceedings of the International ISCRAM Conference
JF - Proceedings of the International ISCRAM Conference
SN - 2411-3387
ER -