BIG DATA. CAN IT BE REFEREED TO AS AN INNOVATIVE FORM OF JOURNALISM?
What is Big Data?
" Big Data is data which may be owned by a company, obtained and then processed through new techniques to produce value in the best way possible." The notion of Big Data was coined by Doug Laney in 2001.
The question comes on whether big data can be referred to as an innovative form of journalism?
Well yes.
How we may ask? As Big data is basically the combining of large data, then compiling that data into one valuable piece of information. This has two benefits to not only journalists, but also to other streams as it:
-can open new doors
-can be a way information is analysed to open those particular new doors
When those new doors are opened, it helps journalists obtain information in ways which when they disseminate it, will have so much value that the receiving end will be satisfied as long as they do it smartly. This satisfaction comes about due to the fact that when a journalist collected the large incomplete data, somewhere in that collected data was value which was collected from the receiving end itself. When information is collected from where it is to be distributed, it creates more impact due to the fact that the information is being arisen from the point of view the receptor. For example a journalist plans on writing an article on a particular place. The best way to get valuable information is from the source itself. the journalist before disseminating the information, will compile it largely from the source through different opinions, thereby doing a service for the server.
Another example of how handy big data is in formulating innovative journalism is when in the fall of 2012, America's Wall Street Journal ran an article describing how Netflix used big data to build out their streaming video service. They were able to analyse traffic details for various devices, spot problem areas and add network throughout to help prepare for future demand. Netflix was also able to get more insight into the type of content customers preferred, making them enable more accurate suggestions as to what subscribers might like. This initiative helps journalists prepare relevant information to display towards the audience, making occurrence of collection of irrelevance minimal.
Basically, big data is an innovative form of journalism due to the fact that journalistic creativity is put in place with big data. It means no data is large enough not to have some sort of value inside it without proper sorting. Sorting which is done on basis of the point of view of the receiving ends preference, helping more qualitative flow of information towards the mass audience.
NOTE: Big data is compiled with the help of a technology software called, Apache Hadoop, which is an open source software written in java for distributed storage meant for large data sets.
#TECH_OVER
The question comes on whether big data can be referred to as an innovative form of journalism?
Well yes.
How we may ask? As Big data is basically the combining of large data, then compiling that data into one valuable piece of information. This has two benefits to not only journalists, but also to other streams as it:
-can open new doors
-can be a way information is analysed to open those particular new doors
When those new doors are opened, it helps journalists obtain information in ways which when they disseminate it, will have so much value that the receiving end will be satisfied as long as they do it smartly. This satisfaction comes about due to the fact that when a journalist collected the large incomplete data, somewhere in that collected data was value which was collected from the receiving end itself. When information is collected from where it is to be distributed, it creates more impact due to the fact that the information is being arisen from the point of view the receptor. For example a journalist plans on writing an article on a particular place. The best way to get valuable information is from the source itself. the journalist before disseminating the information, will compile it largely from the source through different opinions, thereby doing a service for the server.
Another example of how handy big data is in formulating innovative journalism is when in the fall of 2012, America's Wall Street Journal ran an article describing how Netflix used big data to build out their streaming video service. They were able to analyse traffic details for various devices, spot problem areas and add network throughout to help prepare for future demand. Netflix was also able to get more insight into the type of content customers preferred, making them enable more accurate suggestions as to what subscribers might like. This initiative helps journalists prepare relevant information to display towards the audience, making occurrence of collection of irrelevance minimal.
Basically, big data is an innovative form of journalism due to the fact that journalistic creativity is put in place with big data. It means no data is large enough not to have some sort of value inside it without proper sorting. Sorting which is done on basis of the point of view of the receiving ends preference, helping more qualitative flow of information towards the mass audience.
NOTE: Big data is compiled with the help of a technology software called, Apache Hadoop, which is an open source software written in java for distributed storage meant for large data sets.
#TECH_OVER
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