More capacities, more possibilities: toward a big picture
There is a trend of computer technologies, which impacts on journalism. It is that computational capacities of computers have changed to enable us to manage a big data.
Computing power and storages of computers has advanced continuously, and this leads to increased computational capacities. Furthermore, the emergence of Clouds allows people can access and share information via networks. Individuals can work more efficiently by using clouding services like webmail services, YouTube, Google Docs, Dropbox, and etc. In the past, computational capacities used to be hugely affected by the development of a hardware. But due to cloud services, computational capacities have many potentials, rather than relying on a raw hardware.
Finally, with the combination of these cutting-edge technologies- advanced computing power, storages, and networks- we now have enough computational capacities to deal with a big dataset. This is something that we unable to achieve in the past. For example, the government moves their data to the web for convenience and NAVER build a library of Korean newspapers from 1920 on their webpage. Also, journalism is one of areas that utilize this technological trend.
Data Journalism, which had not existed in the past, becomes one facet of nowadays’ journalism. A lot of data journalists report about a big dataset of a specific topic, which can be an issue for the society. For instance, Migrant Files report about all refugee records of European countries and The Opportunity Gap Reports deal with educational gaps across states in the USA. Benefits of data journalism is that it provides not only an aggregated data of an issue, but also show what happens across a dataset. Also, individuals are easily access to information.
Computational capacities tend to evolve to help us work with a larger dataset, due to the technological developments mentioned above. I want to name this trend as “a big picture with a big data (BPBD).” It is quite clear that the trend will continue in the future. This is because we will treat a larger dataset more conveniently, as computational capacities will develop. Also, a broad picture of a phenomenon provided by a big data is an attractive resource for journalists: it can find something which is unable to be captured by looking at scatted events
However, the trend may not be always on the same way after 10 years. It can change its track when combining with a new technology, like an advanced software. For example, A.I developed by Deep Mind of Google is able to pile up a bunch of data and compute it with an unprecedented speed. Deep Learning, an algorithm of A.I, makes it to learn from its stocked data like a human brain. This technology may change the way of data journalism: A.I gathers, processes, and analyze a big dataset and make a decision which would be a great article for consumers.