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Crowdsourcing platforms are usually publicly available and are widely used by big crisis data practitioners.
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Big crisis data refers, simply, to big data collected during crises or mass emergencies.
This highlights the dangers of siloed big crisis data analytics.
Big crisis data is highly diverse and varied.
In Section "Big data and crisis analytics", we first explain what big (crisis) data is and how we can acquire it.
Sifting through the voluminous "big crisis data" (big data collected during a crisis situation (Meier 2014)) to find information about the affected population was a challenging task.
Big crisis data, just like big data, can be of two types: structured and unstructured (with the latter being predominant).
Here, we consider six different types of big data sources that, broadly speaking, principally drive the big crisis data revolution.
This article has reviewed the use of big data analytics for processing and analyzing big crisis data.
It must be understood that big crisis data analytics is but one cog in the entire crisis informatics ecosystem.
Now, we describe what we mean by the term big crisis data.
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