Publication: Automatic identification of eyewitness messages on twitter during disasters
Automatic identification of eyewitness messages on twitter during disasters
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Zahra, K., Imran, M., & Ostermann, F. O. (2020). Automatic identification of eyewitness messages on twitter during disasters. Information Processing & Management, 57(1), 102107. https://doi.org/10.1016/j.ipm.2019.102107
Abstract
Abstract
Abstract
Social media platforms such as Twitter provide convenient ways to share and consume important information during disasters and emergencies. Information from bystanders and eyewitnesses can be useful for law enforcement agencies and humanitarian organizations to get firsthand and credible information about an ongoing situation to gain situational awareness among other potential uses. However, the identification of eyewitness reports on Twitter is a challenging task. This work investigates different types of sources on tweets related to
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- Zahra, Kiran
- Imran, Muhammad
- Ostermann, Frank O
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Citations
Zahra, K., Imran, M., & Ostermann, F. O. (2020). Automatic identification of eyewitness messages on twitter during disasters. Information Processing & Management, 57(1), 102107. https://doi.org/10.1016/j.ipm.2019.102107
