---------- WARNING: Experimental Layer
SMFR Social Media Activity Analysis (SMAA) is a system that integrates Social Media analysis into Early Warning Systems. This integration allows the collection of Social Media data to be automatically triggered by flood risk warnings determined by a hydro-meteorological model.
This layer is available in both EFAS and GloFAS systems, there are only some slight difference in the visuals of the feature information. The data is exactly the same on both platforms.
Data Flow
Description of Tasks
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Step.1. A data collection is triggered on the basis of weather forecasts. The data are collected from the Twitter public streaming API (if query results exceed 1% of all the tweets, limitations apply). The data collection is limited to a set of administrative areas. The areas are determined by the intersection of RRA (flood probab < 48 hours + high likelihood) or EFI (Acc Rainfall + 48hr threshold > 0.5) areas with administratives area (gadm including NUTS for EU as defined for all products in EFAS and GLOFAS). The duration of the collection is from the trigger until 2 days after the peek (or EFI 2 days after no extreme rain is foreseen).
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N.B. Please note that you may find some tweets that are FALSE positive describing an impact (or something somehow related like a loss → lost → loss → lost → lost cat /lost person or person or again a description of of war victims etc). FALSE positives are OK (The model never got a discharge wrong???), the open issue is how to prevent those tweets to be computed as the representative one (without using stopwords)
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