Extra Newspaper Template
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How news organizations used automated news to cover COVID-19 How news organizations used automated news to cover COVID-19 In a sense, COVID-19 could be the perfect story to automate. As the virus spread across the world at the beginning of 2020, governments and health authorities made a considerable amount of open-source data available to the public, such as the number of deaths, patients in intensive care units, and seven-day incidence rates. In a sense, COVID-19 could be the perfect story to automate. As the virus spread across the world at the beginning of 2020, governments and health authorities made a considerable amount of open-source data available to the public, such as the number of deaths, patients in intensive care units, and seven-day incidence rates. This type of well-arranged data, which can fit into narratives that can be created in advance, lays the groundwork for a recent journalistic development known as “automated journalism,” a computational process that creates automated pieces of news without any human intervention, except for the initial programming. This type of well-arranged data, which can fit into narratives that can be created in advance, lays the groundwork for a recent journalistic development known as “automated journalism,” a computational process that creates automated pieces of news without any human intervention, except for the initial programming. Automated journalism generally implies the use of algorithms that fetch information on external or internal datasets, and then fill in the blanks left on templates that have been prewritten. This process, which can be compared to the word game Mad Libs, constitutes a basic application of Natural Language Generation, a computer technique that has been around for several decades in domains such as weather forecasts, sports and financial results. Automated journalism generally implies the use of algorithms that fetch information on external or internal datasets, and then fill in the blanks left on templates that have been prewritten. This process, which can be compared to the word game Mad Libs, constitutes a basic application of Natural Language Generation, a computer technique that has been around for several decades in domains such as weather forecasts, sports and financial results. NLG made a leap into journalism and was more widely discussed in the first half of the 2010s as The Los Angeles Times used automated text to report on homicides and earthquake alerts, while The Associated Press partnered with the firm Automated Insights to automate stories on corporate earning. Numerous media organizations have subsequently adopted or experimented with automated journalism, including major ones like Le Monde, The Washington Post and the BBC. NLG made a leap into journalism and was more widely discussed in the first half of the 2010s as The Los Angeles Times used automated text to report on homicides and earthquake alerts, while The Associated Press partnered with the firm Automated Insights to automate stories on corporate earning. Numerous media organizations have subsequently adopted or experimented with automated journalism, including major ones like Le Monde, The Washington Post and the BBC. Proponents of automated journalism typically develop their technology in-house, outsource it to an external content provider such as Syllabs in France and Narrativa in Spain and in the United States, or use third-party solutions so that journalists can design their own automated news, as it is made possible through Automated Insights’ Wordsmith and Arria NLG Studio. Proponents of automated journalism typically develop their technology in-house, outsource it to an external content provider such as Syllabs in France and Narrativa in Spain and in the United States, or use third-party solutions so that journalists can design their own automated news, as it is made possible through Automated Insights’ Wordsmith and Arria NLG Studio. Automated news can then be published simultaneously at massive scale or used as first drafts to assist journalists with their own writing. Automated news can then be published simultaneously at massive scale or used as first drafts to assist journalists with their own writing. In my report for the Tow Center, I documented the experiences of nine media organizations that have used automated news for reporting on COVID-19. I found that most organizations used them to provide a statistical overview of the spread of the virus, through user-facing interfaces and new media products. In my report for the Tow Center, I documented the experiences of nine media organizations that have used automated news for reporting on COVID-19. I found that most organizations used them to provide a statistical overview of the spread of the virus, through user-facing interfaces and new media products. For instance, Swiss media company Tamedia and The Times (United Kingdom) featured national and international dashboards that summarized the latest COVID-19 data with automated text, along with a great many automated or semi-automated graphics.
A screenshot of the COVID-19 tracker page at The Times. It features automated text and graphics that give a breakdown of the latest coronavirus statistics in the United Kingdom. (Courtesy: The Times) For instance, Swiss media company Tamedia and The Times (United Kingdom) featured national and international dashboards that summarized the latest COVID-19 data with automated text, along with a great many automated or semi-automated graphics.
A screenshot of the COVID-19 tracker page at The Times. It features automated text and graphics that give a breakdown of the latest coronavirus statistics in the United Kingdom. (Courtesy: The Times) I also found that some organizations deployed new forms of newsroom workflows, where journalists contributed to the creation of automated news or worked directly with them. I also found that some organizations deployed new forms of newsroom workflows, where journalists contributed to the creation of automated news or worked directly with them.