CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Understand

Time-critical analysis of social media streams is important for humanitarian organizations for planing rapid response during disasters.

• The \textit{crisis informatics} research community has developed several techniques and systems for processing and classifying big crisis-related data posted on social media.
• However, due to the dispersed nature of the datasets used in the literature (e.g., for training models), it is not possible to compare the results and measure the progress made towards building better models for crisis informatics tasks.
• In this work, we attempt to bridge this gap by combining various existing crisis-related datasets.