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|Title:||Quantifying uncertainty in population weighting of Twitter analyses for urban risk assessment|
|Authors:||Bastian, Elizabeth G.|
Myers, Natalie R. D.
Ehlschlaeger, Charles R.
Burkhalter, Jeffrey A.
|Publisher:||Construction Engineering Research Laboratory (U.S.)|
Engineer Research and Development Center (U.S.)
|Series/Report no.:||Technical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/CERL TR-19-14|
|Abstract:||Twitter has increasingly been used to study various research topics such as election predictions, disease spread, etc. However, social media platforms do not saturate the entire population in a study area, especially in emerging nations, only representing more affluent subpopulations. The U.S. Army Engineer Research and Development Center, Construction Engineering Research Laboratory (ERDC-CERL), as part of a project entitled Framework for the Integration of Complex Urban Systems (FICUS), is quantifying the utility of demographic information to inform neighbor-hood-scale social media models. Using the example topic of infrastructure, an open-source model was constructed to collect Twitter data from the metropolitan Philippines area of Manila, geotag tweets to neighborhood grid cells based on language analysis, and produce a sentiment topic map. ERDC’s social media analysis tools incorporate quantifiable uncertainties with specific on-the-ground reporting techniques. By using the Humanitarian Crisis (HC) framework developed by PACOM (another FICUS product) as a model, a framework quantifying the likelihood of being a regular social media user was created to implement a data-driven, bottom-up framework construction nested within a knowledge-based established framework. This framework, and any other produced by the FICUS team serve as case studies for augmenting the military operational environment with quantifiable reduced uncertainties.|
|Gov't Doc #:||ERDC/CERL TR-19-14|
|Rights:||Approved for Public Release; Distribution is Unlimited|
|Size:||96 pages / 14.62 Mb|
|Types of Materials:||PDF/A|
|Appears in Collections:||Technical Report|
Files in This Item:
|ERDC-CERL TR-19-14.pdf||14.97 MB||Adobe PDF|