Twitter gives a warning sixty seconds before an earthquake occurs to the scientists of the United States government. Seismologists at the survey conducted by the U.S. Geology have joined the social media and resultantly they are now able to get the results which are better and more appropriate alerts In case of emergency.
It depends on the tweets of the public as the scientists of US are getting help from these tweets like “Earthquake” to track this destructive phenomenon in a better way, no matter you tweet in any language.
The program has been described by Twitter in a recent blog post and it has been given the name of Tweet Emergency Dispatch.
Twitter is paid by the US Government scientists for the taping of the program into its data. Sorting of the program has been done automatically with the tweets which are coming from the users of Twitters. According to a report, around 316 million users remain active at Twitter. The program works when many people residing at a particular location have tweets related to earthquakes, it alerts the researchers from the government. The change is not a major one but it lets the researchers 60 seconds to respond the situation.
Twitter is giving benefits to the researchers in a way that scientists are able to get the alerts about the earthquakes which are not picked by the sensors that have flaws. Moreover the places where there are no sensors, Twitter also become a source of alert for such areas.
There are almost 2000 devices present in the USGS National Earthquake Information Center that are observing the minor movements in the crust of the Earth while half of the devices have been working outside America.
An earthquake of 5 magnitude was picked up by the seismic sensors that work in California which was proved to be wrong when the alert system made by Twitter did not show any movement which means that there was no earthquake.
According to Earle, Twitter has an entirely independent data stream which is very important.
Scientists have got help from numerous earthquakes during some of the previous years in modifying the system. The tweets which are not relevant for example conversations and news related to the earthquake are learned to be ignored. The tweets which are to the point are significant and considered as relevant. People cannot find any time during fierce motions to make lengthy tweets. Particular words are preferred to be looked now USGS has also learned to look for certain words.