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https://hdl.handle.net/11681/34163| 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. |
| Keywords: | Social media Social media--Analysis Population--Analysis Military operations |
| 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. |
| Description: | Technical Report |
| Gov't Doc #: | ERDC/CERL TR-19-14 |
| Rights: | Approved for Public Release; Distribution is Unlimited |
| URI: | https://hdl.handle.net/11681/34163 http://dx.doi.org/10.21079/11681/34163 |
| Size: | 96 pages / 14.62 Mb |
| Types of Materials: | PDF/A |
| Appears in Collections: | Technical Report |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-CERL TR-19-14.pdf | 14.97 MB | Adobe PDF |  View/Open |