Facebook's AI knows how likely it is to evacuate during a hurricane


Facebook AI Research (FAIR) has recently conducted a large data study to determine whether social media ties play a role in people's decision to evacuate the affected areas during a hurricane. And, according to the survey, those with the most "social capital" were more likely to take official warnings and leave.

Who knew social media could motivate intelligence in a society?

The FAIR workshop undertook the great data work to determine whether the influence of social media changed a long story about the evacuations. Prior to the emergence of social media, it was found that people who have strong roots in the community are less may be evacuated.

The idea is that these people are obliged to stay because they feel secure in the knowledge that their neighbors, friends and colleagues will help if they are hit by a disaster.

This, of course, is a religion. No amount can prevent a hurricane from harming your property, but an early evacuation will guarantee you that you will not die in that hurricane.

Now, however, there is evidence that social media really motivate people to evacuate during disasters. In particular, those who built "bridges" outside their local community.

According to the FAIR survey:

We found support for this, in particular by observing that links linked to binding capital such as the number of users' friends (first-degree network size) and their network density (grouping coefficient) are associated with a lower probability of evacuation (formerly more stable from the last). We also notice that the bridging and linking bundles, measured by the size of the second-degree network and the number of policies that followed, are associated with a greater probability of evacuation.

The data that Facebook has produced from users affected by hurricanes Harvey, Irma and Maria, show that the "social capital" mentioned is not only necessary for the size of your friends list. This is how you use it.