The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
SensePlace2: GeoTwitter analytics support for situational awareness
Abstract
Geographically-grounded situational awareness (SA) is critical to crisis management and is essential in many other decision making domains that range from infectious disease monitoring, through regional planning, to political campaigning. Social media are becoming an important information input to support situational assessment (to produce awareness) in all domains. Here, we present a geovisual analytics approach to supporting SA for crisis events using one source of social media, Twitter. Specifically, we focus on leveraging explicit and implicit geographic information for tweets, on developing place-time-theme indexing schemes that support overview+detail methods and that scale analytical capabilities to relatively large tweet volumes, and on providing visual interface methods to enable understanding of place, time, and theme components of evolving situations. Our approach is user-centered, using scenario-based design methods that include formal scenarios to guide design and validate implementation as well as a systematic claims analysis to justify design choices and provide a framework for future testing. The work is informed by a structured survey of practitioners and the end product of Phase-I development is demonstrated / validated through implementation in SensePlace2, a map-based, web application initially focused on tweets but extensible to other media.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Foundations of statistical natural language processing
Manning, C. D., & Schütze, H. (1999) · Cited by 9,816
Toward a Theory of Situation Awareness in Dynamic Systems
Endsley, M. R. (1995) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872095779049543 · Cited by 8,875
Earthquake shakes Twitter users: real-time event detection by social sensors
Sakaki, T., Okazaki, M., & Matsuo, Y. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772777 · Cited by 3,640
Vieweg, S., Hughes, A. L., Starbird, K., & Palen, L. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753486 · Cited by 1,427
Twitter adoption and use in mass convergence and emergency events
Hughes, A. L., & Palen, L. (2009) · International Journal of Emergency Management · doi:10.1504/ijem.2009.031564 · Cited by 991
Theoretical Underpinnings of Situation Awareness, A Critical Review
Endsley, M. R. (2000) · doi:10.1201/b12461-7 · Cited by 889
Making Sense of Sensemaking 1: Alternative Perspectives
Klein, G., Moon, B., & Hoffman, R. R. (2006) · IEEE Intelligent Systems · doi:10.1109/mis.2006.75 · Cited by 818
Zook, M., Graham, M., Shelton, T., & Gorman, S. (2010) · World Medical & Health Policy · doi:10.2202/1948-4682.1069 · Cited by 768
Peuquet, D. J. (1994) · Annals of the Association of American Geographers · doi:10.1111/j.1467-8306.1994.tb01869.x · Cited by 666
Carroll, J. M. (1997) · Handbook of Human-Computer Interaction · doi:10.1016/b978-044481862-1.50083-2 · Cited by 547
Cited by
Processing Social Media Messages in Mass Emergency: A Survey
Imran, M., Castillo, C., Diaz, F., & Vieweg, S. (2015) · ACM Computing Surveys · doi:10.1145/2771588 · Cited by 804
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Martínez-Rojas, M., Pardo-Ferreira, M. D. C., & Rubio-Romero, J. C. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.07.008 · Cited by 213
Visual analytics in urban computing: An overview
Zheng, Y., Wu, W., Chen, Y., Qu, H., & Ni, L. M. (2016) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2586447 · Cited by 141
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages
Imran, M., Mitra, P., & Srivastava, J. (2016) · arXiv · doi:10.48550/arxiv.1602.05388 · Cited by 26
Self-citation
Metadata
- Authors
- MacEachren, A. M., Jaiswal, A., Robinson, A. C., Pezanowski, S., Savelyev, A., Mitra, P., Zhang, X., & Blanford, J.
- Venue
- 2011 IEEE Conference on Visual Analytics Science and Technology (VAST)
- Publisher
- IEEE
- Published
- 2011-10
- Pages
- 181-190
- OpenAlex
- W1992399362
- Cited by
- 349
- References
- 25
- FWCI
- 19.13
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: SensePlace2: GeoTwitter analytics support for situational awareness. https://app.cochat.ai/papers/10.1109/vast.2011.6102456
- The paper
- MacEachren, A. M., Jaiswal, A., Robinson, A. C., Pezanowski, S., Savelyev, A., Mitra, P., Zhang, X., & Blanford, J. (2011). SensePlace2: GeoTwitter analytics support for situational awareness. 2011 IEEE Conference on Visual Analytics Science and Technology (VAST). https://doi.org/10.1109/vast.2011.6102456
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
