Researchers writing data want to know how adults are looking for information and how to find information using our various communication methods today. Another goal from these data is to make more effort to find more effective ways to obtain information so that creators of health information can find and understand more people It is possible. These data are mainly constructed on the theme of cancer, and the hypothesis is not directly directed to the cancer itself, but usually does not include problems other than cancer and includes a broader concept of health information.
In times of crisis and natural disasters, our media, communication systems and tools are an important source of information and organizational behavior. However, in the past decade, the way you got these information in case of emergency has shifted from mainstream media to social networking site (SNS) and became the center of crisis communication. An example is the crisis communication during the flood that occurred in Queensland in January 2011. Two months of heavy rain fell in Queensland, Australia, floods occurred in populated areas such as Rockhampton, Toowoomba, Ipswich, and the capital Brisbane. Floods were covered by mainstream media, but as they began to influence major population crowds, social media platforms such as Facebook and Twitter quickly became the center of crisis communication. Local people affected by the floods distribute their direct shots via the social media platform as an informal "warning system".
Today, during natural disasters, the task for the first responder is not necessarily the lack of information on what happened. Conversely, the ability to classify without the ability to verify and prioritize the large amount of information provided by social media may compromise relief measures. AIDR turns this data into valuable assets. QCRI combines manual computing and artificial intelligence to automatically identify related information from multiple tweets and text messages. For that part, the 140 character tweet seems to contain information used at the time of disaster. However, with the help of artificial intelligence, you can use the tweets together, create profiles of affected areas, estimate the number of causal relationships, and predict the demand for specific resources.
Methods Some studies show that during natural disasters people tend to look for information from traditional media rather than social media such as television and radio, for example, many people get information from today There is a tendency. It is interesting to assume that the problem is serious enough to invalidate information from friends and family. If the problem is not so urgent, many people may accept advice on that person's health,