903
How Twitter helps keep track of unemployment
Researchers from Autonomous University of Madrid found a fingerprint bezrabotitsa imposes on people's behavior in Twitter . It turned out, the lack of work affects the time of publication of tweets, their frequency and even the number of spelling errors.
Members in the areas of Spain with high unemployment write about work, send more messages in a social network, and make mistakes.
The life of man is closely linked with its social and economic status. For example, our move around the city depends on our work and lifestyle. And they influence behavior in social networks. In the Autonomous University of Madrid have revealed the relationship between unemployment and the quantity and quality of messages on Twitter in Spanish cities. For this purpose the base of 19, 6 million tweets a geolocation sent between November 2012 and June 2013.
The more unemployed - more tweets between nine o'clock in the morning and noon on weekdays. Among the many tweets contain the words "work" and "unemployed". These messages contain a lot of mistakes that, under assumptions of researchers, may reflect a low level of literacy among the unemployed.
This method is both quick and easy. With it, you can watch what is happening in a particular area: everything is good for people with work, or crisis hit too hard. Unfortunately, researchers do not guarantee that the same method would work in another country. Also, the method is less effective in areas where Twitter is not very popular.
Source: geektimes.ru/post/241984/
Members in the areas of Spain with high unemployment write about work, send more messages in a social network, and make mistakes.
The life of man is closely linked with its social and economic status. For example, our move around the city depends on our work and lifestyle. And they influence behavior in social networks. In the Autonomous University of Madrid have revealed the relationship between unemployment and the quantity and quality of messages on Twitter in Spanish cities. For this purpose the base of 19, 6 million tweets a geolocation sent between November 2012 and June 2013.
The more unemployed - more tweets between nine o'clock in the morning and noon on weekdays. Among the many tweets contain the words "work" and "unemployed". These messages contain a lot of mistakes that, under assumptions of researchers, may reflect a low level of literacy among the unemployed.
This method is both quick and easy. With it, you can watch what is happening in a particular area: everything is good for people with work, or crisis hit too hard. Unfortunately, researchers do not guarantee that the same method would work in another country. Also, the method is less effective in areas where Twitter is not very popular.
Source: geektimes.ru/post/241984/
"Fila" can come to life in March 2015
To control the drone in the United States may need a pilot's license