Artificial Intelligence Journalism will provide the main tools to help accelerate 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 …

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 Artificial Intelligence Journalism and Data Journalism.

Big Data analytics and open data platforms cannot be exist without Artificial Intelligence journalism tools, which speed up the mechanism of the whole process. Artificial Intelligence Journalism and the Fourth Industrial Revolution (4IR) will help companies, governments and people to have new and efficient tools for storing and analyzing information and data.

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, for example. In the coming years, however, these common units will begin to seem quainter – that’s because the entire digital universe is expected to reach 44 zettabytes by 2020, according to Jeff Desjardins in World Economic Forum’s Report.

According to Simon Rogers who is data editor at the Google News Lab and director of the Data Journalism Awards: “Data journalism has always been about collaborating, sharing and spreading the knowledge amongst the community. This work doesn’t live in a silo — now we can learn from what these new outlets and reporters have done to teach the rest of the world. The new Data Journalism Handbook, published in its first edition since 2012 this month, reflects this new world — 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.”

It has been 10 years since the first successful experience in data journalism, led by the British newspaper The Guardian, where they created Datablog. Datablog is a huge Data Store which updates every day, to create stories based on the collected data from the web. “I saw a record number of entries in 2018 — nearly 700 — from 57 countries, and half from small newsrooms. There were entries from India, Cuba, and the Philippines. We saw pieces that were at the edge of newsroom innovation. The winning project from a large data journalism team was Caixin in China, for instance, which has become a global leader in the field through its innovative visualizations — such as this beautiful project on high-speed rail in China.”, says Simon Rogers.

According to AP experience, media starts to search for the best ways to transmit big data of news on a daily basis to obtain numbers and statistics supporting the news or content.

AP Automated Insights was established in 2007 and headquartered in Durham, N.C., Automated Insights is the creator of Wordsmith, the world’s first self-service natural language generation platform for business intelligence. 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. 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.

Reuters leads a huge initiative in Artificial intelligence journalism, when it announced the launch of Lynx Insight, a major new Artificial intelligence Journalism tool that would be used in its newsrooms across the world. 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.

Challenges: The main challenge Data Journalism is facing are: Most journalists are not equipped with data skills or, in many cases, are rather afraid of data .Another challenge is resources and finances. One of the biggest barriers to wide adoption of data journalism in newsrooms is resources and money. Given the fact that journalists, who are the primary employees of newsrooms, are not equipped with data skills, newsrooms will need to hire additional data-savvy staff to perform data journalism projects, or, in some cases, invest in training their own newsroom staff.” says Bahareh Heravi in the 2017 Global Data Journalism study.

Artificial Intelligence Journalism will provide the main tools to overcome challenges of Data Journalism like, robots, 3D Printing in newsroom, automated tools of data analyzing, and huge open data platforms to sort daily the news and reports.

The news stories production in the Data journalism is going through many steps and actions, such as: Finding data, Interrogating data, Visualising data, Mashing data then publishing the news or reports based on the previous process, after analyzing huge data. Now Artificial Intelligence Journalism can minimize those steps in only two, receiving and publishing, that will save time and efforts.

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Will robo-journalists displace human reporters in the near future? The trends in newsrooms …

“We’ve seen a greater acceptance of the potential for artificial intelligence, or robo-journalism, in newsrooms around the world,” Damian Radcliffe, …
Robo-journalism

Robo-journalism&nbsp | &nbspPhoto Credit:&nbspGetty Images

In November 2018, a text-generating “bot” named Tobi produced an incredible 40,000 news stories about Switzerland elections in just five minutes for Tamedia. According to a paper presented at the Computation + Journalism conference in Miami, Tobi wrote on vote results of Switzerland’s 2,222 municipalities in both French and German.

Just three months after the incredible feat was reported by world media, robo-journalism is now being touted to change media landscape in the coming years. Now, artificial intelligence programs, which have been available for more than a decade, are being used by in news organisations to produce stories, personalise new delivery and even anchor news bulletins, reported AFP.

“We’ve seen a greater acceptance of the potential for artificial intelligence, or robo-journalism, in newsrooms around the world,” Damian Radcliffe, a University of Oregon professor who follows business models for journalism, told the news agency.

“These systems can offer speed and accuracy and potentially support the realities of smaller newsrooms and the time pressures of journalists,” he added.

However, top news organisations around the world maintained that bots are not intended to displace human reporters and editors but rather help them in monotonous tasks.

“The (Washington) Post has an incredible team of reporters and editors and we didn’t want to replace them,” Jeremy Gilbert, director of strategic initiatives at The Washington Post, told the agency.

He was referring to Washington Post automated program Heliograf which was developed to help the newspaper’s editorial team.

Newsrooms around the world are using similar automated tools to churn out a large number of reports in a matter of minutes.

NTB, a Norwegian news agency, automated sports reports to get match results delivered within 30 seconds and Los Angeles Times developed a “quakebot” that has the ability to distribute news articles on weather and tremblors.

One of the most impressive bots in the media industry is called Cyborg and its owned by Bloomberg.

Cyborg “dissects a company’s earnings the moment they appear” and produces mini-wraps with numbers in a matter of minutes.

At the beginning of March, Chinese news organisation Xinhua announced that a female artificial intelligence news presenter will soon hit TV screens in the country.

Xinhua also released a photo of the female AI news anchor dressed in a pink and maroon dress.

While news professionals acknowledge the limitations of a robot, there are fears about Artificial Intelligence spinning out of control.

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Robo-journalism gains traction in shifting media landscape

These kinds of artificial intelligence programs — available for nearly a … “We’ve seen a greater acceptance of the potential for artificial intelligence, …
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Washington (AFP)

A text-generating “bot” nicknamed Tobi produced nearly 40,000 news stories about the results of the November 2018 elections in Switzerland for the media giant Tamedia — in just five minutes.

These kinds of artificial intelligence programs — available for nearly a decade — are becoming more widespread as news organizations turn to them to produce stories, personalize news delivery and in some cases sift through data to find important news.

Tobi wrote on vote results for each of Switzerland’s 2,222 municipalities, in both French and German, for the country’s largest media group, according to a paper presented last month at the Computation + Journalism conference in Miami.

A similar automated program called Heliograf has enabled The Washington Post daily to cover some 500 election races, along with local sports and business, since 2014.

“We’ve seen a greater acceptance of the potential for artificial intelligence, or robo-journalism, in newsrooms around the world,” said Damian Radcliffe, a University of Oregon professor who follows consumer trends and business models for journalism.

“These systems can offer speed and accuracy and potentially support the realities of smaller newsrooms and the time pressures of journalists.”

News organizations say the bots are not intended to displace human reporters or editors but rather to help free them from the most monotonous tasks, such as sports results and earnings reports.

Jeremy Gilbert, director of strategic initiatives at The Washington Post, said Heliograf was developed as a tool to help the newspaper’s editorial team.

“The Post has an incredible team of reporters and editors and we didn’t want to replace them,” Gilbert told AFP.

– ‘Is this something we can automate?’ –

Gilbert said the bot can deliver and update stories more quickly as they develop, allowing reporters to concentrate on other tasks, and that reaction has been generally positive.

“The surprise was that a lot of people came up and said, ‘I do this story every week; is this something we can automate?'” Gilbert said.

“These weren’t stories that anyone wanted to do.”

Similar conversations are going on in newsrooms around the world. The Norwegian news agency NTB automated sports reports to get match results delivered within 30 seconds.

The Los Angeles Times developed a “quakebot” that quickly distributes news articles on temblors in the region and also uses an automated system as part of its Homicide Report.

The Associated Press has been automating quarterly earnings reports for some 3,000 listed companies, allowing the news agency to expand from what had been just a few hundred, and this year announced plans with its partner Automated Insights to deliver computer-generated previews of college basketball games.

Rival news agency Reuters last year announced the launch of Lynx Insight, which uses automated data analysis to identify trends and anomalies and to suggest stories reporters should write.

Bloomberg’s computerized system called Cyborg “dissects a company’s earnings the moment they appear” and produces within seconds a “mini-wrap with all the numbers and a lot of context,” editor-in-chief John Micklethwait wrote last year, noting that one-fourth of the agency’s content “has some degree of automation.”

France’s Le Monde and its partner Syllabs deployed a computer program that generated 150,000 web pages covering 36,000 municipalities in the 2015 elections.

One advantage of using algorithmically generated stories is that they can also be “personalized,” or delivered to the relevant localities, which can be useful for elections and sports coverage.

– Investigative robo-reporter? –

While news professionals acknowledge the limits of computer programs, they also note that automated systems can sometimes accomplish things humans can’t.

The Atlanta Journal-Constitution used a data journalism team to uncover 450 cases of doctors who were brought before medical regulators or courts for sexual misconduct, finding that nearly half remained licensed to practice medicine.

The newspaper used machine learning, an artificial intelligence tool, to analyze each case and assign a “probability rating” on sexual misconduct, which was then reviewed by a team of journalists.

Studies appear to indicate consumers accept computer-generated stories, which are mostly labeled as such.

A report prepared by researcher Andreas Graefe for Columbia University’s Tow Center said one study of Dutch readers found that the label of computer-generated “had no effect on people’s perceptions of quality.”

A second study of German readers, Graefe said, found that “automated articles were rated as more credible,” although human-written news scored higher for “readability.”

– Robot apocalypse? –

Even though journalists and robots appear to be helping each other, fears persist about artificial intelligence spinning out of control and costing journalists’ jobs.

In February, researchers at the nonprofit center OpenAI announced they had developed an automatic text generator so good that it is keeping details private for now.

The researchers said the program could be used for nefarious purposes, including to generate fake news articles, impersonating others online, and automate fake content on social media.

But Meredith Broussard, a professor of data journalism at New York University, said she does not see any immediate threats of robots taking over newsrooms.

She said there are many positive applications of AI in the newsroom, but that for now, most programs handle “the most boring” stories.

“There are some jobs that are going to be automated, but overall, I’m not worried about the robot apocalypse in the newsroom,” she said.

© 2019 AFP

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