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Improving the Scalability and Usability of the Public Information Officer Monitoring Application
註釋This thesis work addresses the limitations of a web application called the Public Information Officer Monitoring Application (PMA). This application helps Public Information Officers (PIOs) to gather, monitor, sort, store, and report social media data during a crisis event. Before this work, PMA was unable to handle large data sets and as a result, it had not been adequately tested with potential users of the application. This thesis describes changes made to PMA to improve its ability to handle large data sets. After these changes were made, the application was then tested with target users. All test participants found the application useful and relevant to their work. Testing also revealed many ways to improve the usefulness of the application, which were subsequently implemented. The thesis concludes with suggestions for future work and distribution of PMA.