Since the concept of big data was proposed, it has been spread into all expense and subtracts all of the world. In big data is already applied in journalism and in different kinds of mass media by using different kinds of cutting edge technology. Data journalism is nowadays a new form of the way in storytelling. Compared to the traditional journalism in visualization techniques. Nowadays the journalism is using a lot of advanced technology, the information can be collected in from the place to the center of the media by transferring using the Internet. Data can be explored using the camera and even cellphone, a lot of social websites can help with the fast spreading speed. At the same time, the feedback can be collected and sent back to the information center, according to the new analyse tools, the taste of audience can be found and more news can be posted in order to attract more audience.
For example, the very famous video ‘A Bite of China’ actually came from a series of videos talking about different kinds of culture in different regions in China. By collecting the feedback from an advanced technology from audiences, the CCTV realized that the one episode talking about food culture was very popular, therefore they started a new series of videos focusing on the food culture in China and then became super popular. Therefore, from my point of view, the new technology should be applied to journalism and big data collection and analysis are crucial for the journalism.
I love reading news online, especially since I don’t subscribe to any newspapers anymore. And over the years, online news have gotten to a level where they create much better narratives than newspaper’s journalism, especially narratives full chock of data based story.
A particular reason why I love infographics in any online news story can probably be explained by Segel and Heers’ article. In their article, they mention how visual media can engender a narrative experience to direct our attention to the whole news story.
This is particularly true for me who often gets distracted while reading a news online (which, I assume, happens to everyone as well). Infographics really help me to stick through the whole article, even the long ones. And infographics also help a lot in terms of delivering the story by condensing them into images.
The creation of ‘Global Editors Network’, where ‘data journalists, editors and their teams’ come together, ensures exchanges of ‘best practice and new models’ will be shared internationally as well as challenges shared to overcome.
DJ requires updated ‘digital literacy’ by both the journalist and their audiences. Growing these skills can take time, and with digital media and technology changing rapidly, there is a greater need for us as students to be aware of these changes.
Data journalism provides transparency to its citizens. Just recently, Ben Wellington, a ‘quantitative analyst’ revealed that the NYPD had been issuing parking fines to cars that were legally parked. His investigative analysis brought up several other issues, including questions of ‘open data’ but also demonstrated the power that is held by a data-driven investigative journalist and what difference they can make to citizens along with consumers purchasing decisions.
Data journalism is a relatively new subject in the world of journalism. According to Appelgren and Nygren, data journalism is about stories that “are usually based on large data sets that often consist of public data or data collected with the aid of the general public.”
However, I often question whether data journalism can actually represent the actual situation that we have in real life?
Compared to traditional journalism, data journalism has certainly provided an alternative narration for news such as election news. In an article by Solop and Wonders , they examine how both modes of journalism present each of their own narratives in the case of 2012’s Presidential Election in the USA. They found that traditional journalists had inconsistent data where Obama’s lead over Romney was very slim and some media even reported that Romney would win, and it was the result of different ideologies and perspectives driven by pundits. On the other hand, data journalists constructed a narrative that Obama was consistently leading and it came to no surprise that he eventually did win.
However, in another case, data journalism might not be as accurate as it might seem. A good example is the recent gubernatorial election in Jakarta, Indonesia. In this article, it is discussed that the then incumbent governor would probably lose in the first round of the election.
However, the result turned out that Ahok, as the incumbent governor, won the first round of the election as specified in this article.
The different outcome could be a result of various factors, including the change of voters’ decision in the last minute. However, with two different results in two different countries, I can safely argue that we should not always take data journalism at face value. With that being said, I can also vouch for data journalism as a source of legitimate news because it presents more integrity than the politically driven traditional journalism. However
With that being said, I can also vouch for data journalism as a source of legitimate news because it presents more integrity than the politically driven traditional journalism. However, data journalists should also fully disclose their source of data in order to be trusted by the audiences.
With a plethora of information at our fingertips, it isn’t necessary to have an event happen to have a worthwhile story to tell. Much like man’s evolution, we as journalists have abandoned hunting and gathering data. We have become far more sedentary. So settle down as you can find story ideas via data analysis from the comfort of your own desk! Filtering this flow of data is now the prominent way to investigate current matters. We are digital argriculturists. This change in practices entails a change in skills in order to excel and keep up with the digital revolution. Creating infographics, charts, and visuals is of imperative importance in order for your viewer to understand the story you’ve come to craft with the data analysis you’ve conducted. A great example of job well done is Bloomberg. A notable article is “The Most Dangerous Jobs in America” accessible here: https://www.bloomberg.com/graphics/2015-dangerous-jobs/ It turns simple known facts into an interactive serving of a story on the risks associated with your employment in the US. Considering the perpetual flux of information, having vibrant visuals and clear imagery grasps the reader’s attention and delivers research as a narrative form. Finally, what makes this sort of journalism even more effective is that you can quickly share these facts on social networking sites, where your target doesn’t necessary have to plow through a paragraph to pluck out the desired info.