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Do you know how many newsrooms around the world are using Data Journalism? And how many huge media companies have already started to use Big Data analytics and Data Journalism in producing daily news stories? And what is the link between AI Journalism and Data Journalism.<\/strong><\/p>\n Big Data analytics<\/strong> and open data platforms cannot be exist without Artificial Intelligence journalism tools<\/strong>, which speed up the mechanism of the whole process.<\/p>\n Artificial Intelligence Journalism and the Fourth Industrial Revolution (4IR)<\/strong> will help companies, governments and people to have new and efficient tools for storing and analyzing information and data.<\/p>\n These data units are common everyday amounts that the average person may run into, Units this size may be big enough to quantify the amount of data sent in an email attachment, or the data stored on a hard drive.<\/p>\n For Example. In the coming years, however, these common units will begin to seem quainter \u2013 that\u2019s because the entire digital universe is expected to reach 44 zettabytes by 2020, according to Jeff Desjardins in World Economic Forum\u2019s Report.<\/p>\n According to Simon Rogers who is data editor at the Google News Lab and director of the Data Journalism Awards: \u201cData journalism<\/strong> has always been about collaborating, sharing and spreading the knowledge among the community.<\/p>\n This work doesn\u2019t live in a silo \u2014 now we can learn from what these new outlets and reporters have done to teach the rest of the world, so AI Journalism help accelerate Data Journalism.<\/strong><\/p>\n The new Data Journalism Handbook<\/strong>, published in its first edition since 2012 this month, reflects this new world \u2014 with chapters from authors writing about the rise of data journalism in China; how to report on social media data and how to practice the field in the Caribbean. In 2019, data journalism will go beyond the mainstream to be a part of how journalism works everywhere.\u201d<\/p>\n It has been 10 years since the first successful experience in data journalism, led by the British newspaper The Guardian, where they created Datablog.<\/p>\n Datablog<\/strong> is a huge Data Store which updates every day, to create stories based on the collected data from the web. \u201cI saw a record number of entries in 2018 \u2014 nearly 700 \u2014 from 57 countries, and half from small newsrooms.<\/p>\n There were entries from India, Cuba, and the Philippines, We saw pieces that were at the edge of newsroom innovation.<\/p>\n The winning project from a large data journalism team was Caixin in China<\/strong><\/span><\/a>, for instance, which has become a global leader in the field through its innovative visualizations \u2014 such as this beautiful project on high-speed rail in China.\u201d, says Simon Rogers.<\/p>\n According to AP experience, media starts to search for the best ways to transmit big data of news<\/strong> on a daily basis to obtain numbers and statistics supporting the news or content.<\/p>\n AP Automated Insights<\/strong> was established in 2007 and headquartered in Durham, N.C., Automated Insights is the creator of Wordsmith, the world\u2019s first self-service natural language generation platform for business intelligence.<\/p>\n Automated Insights empowers organizations to generate human-sounding narratives from data, making it easy to produce real-time, written analytics, personalized reports, and stories at scale.<\/p>\n The Wordsmith platform is utilised by companies such as Allstate, Associated Press, and Cisco to increase organizational data literacy and broaden adoption of business intelligence software.<\/p>\n Reuters leads a huge initiative in Artificial intelligence journalism, when it announced the launch of Lynx Insight, a major new Artificial intelligence Journalism tool<\/strong> that would be used in its newsrooms across the world.<\/p>\n Lynx Insight aims to help journalists in analyzing data, suggesting story ideas, and even write some sentences, aiming not to replace reporters but instead augment them with a digital data scientist-cum-copywriting assistant.<\/p>\nHow AI Journalism will help accelerate Data Journalism?<\/span><\/h2>\n
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Artificial Intelligence Journalism tools<\/span><\/h3>\n
Data journalism<\/span><\/h2>\n
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<\/p>\nDatablog<\/span><\/h2>\n
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Automated Insights<\/span><\/h4>\n
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Artificial Intelligence Journalism at News Agencies\u00a0<\/span><\/h4>\n
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