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| Content Provider | ACM Digital Library |
|---|---|
| Author | Radzikowski, J. Stefanidis, A. Stahl, J. Wayant, N. Croitoru, A. Crooks, A. |
| Abstract | Social media contributions are manifestations of humans acting as sensors, participating in activities, reacting to events, and reporting issues that are considered important. Harvesting this information offers a unique opportunity to monitor the human landscape, and gain unparalleled situational awareness, especially as it relates to sociocultural dynamics. However, this requires the emergence of a novel GeoSocial analysis paradigm. Towards this goal, in this paper we present a framework for collaborative GeoSocial analysis, which is designed around data harvesting from social media feeds (starting with twitter and flickr) and the concept of a collaborative GeoSocial Analysis Workbench (G-SAW). We present key concepts of this framework, and early test implementation results in order to demonstrate the potential of the G-SAW framework for enhanced situational awareness. |
| Starting Page | 1 |
| Ending Page | 9 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781450311137 |
| DOI | 10.1145/2345316.2345338 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-07-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Flickr Situational awareness Social media Twitter Geographic information systems |
| Content Type | Text |
| Resource Type | Article |
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