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Automated journalism, also known as algorithmic journalism or robot journalism,[1][2][3] is a term that attempts to describe modern technological processes that have infiltrated the journalistic profession, such as news articles and videos generated by computer programs.[3][4][5] There are four main fields of application for automated journalism, namely automated content production, Data Mining, news dissemination and content optimization.[6] Through artificial intelligence (AI) software, stories are produced automatically by computers rather than human reporters. These programs interpret, organize, and present data in human-readable ways. Typically, the process involves an algorithm that scans large amounts of provided data, selects from an assortment of pre-programmed article structures, orders key points, and inserts details such as names, places, amounts, rankings, statistics, and other figures.[4] The output can also be customized to fit a certain voice, tone, or style.[2][3][4]
Data science and AI companies such as Automated Insights, Narrative Science, United Robots and Monok develop and provide these algorithms to news outlets.[4][7][8][9] As of 2016, only a few media organizations have used automated journalism. Early adopters include news providers such as the Associated Press, Forbes, ProPublica, and the Los Angeles Times.[3]
Early implementations were mainly used for stories based on statistics and numerical figures. Common topics include sports recaps, weather, financial reports, real estate analysis, and earnings reviews.[3] StatSheet, an online platform covering college basketball, runs entirely on an automated program.[4] The Associated Press began using automation to cover 10,000 minor baseball leagues games annually, using a program from Automated Insights and statistics from MLB Advanced Media.[10] Outside of sports, the Associated Press also uses automation to produce stories on corporate earnings.[4] In 2006, Thomson Reuters announced their switch to automation to generate financial news stories on its online news platform.[11] More famously, an algorithm called Quakebot published a story about a 2014 California earthquake on The Los Angeles Times website within three minutes after the shaking had stopped.[4][7]
Automated journalism is sometimes seen as an opportunity to free journalists from routine reporting, providing them with more time for complex tasks. It also allows efficiency and cost-cutting, alleviating some financial burden that many news organizations face. However, automated journalism is also perceived as a threat to the authorship and quality of news and a threat to the livelihoods of human journalists.[2][3]