Artificial intelligence for automated journalism: a systematic literature review

Abstract

In today's world, technology has influenced every aspect of human life. Latest technologies like Artificial Intelligence, big data, Augmented reality, and cloud has completely transformed many industries. The media and entertainment industry is quickly catching up to the latest developments in their domain. Automated journalism, also known as algorithmic or Robot journalism, generates news articles with the help of artificial intelligence. Stories are produced automatically using computer programs instead of human reporters. Algorithms with preprogrammed article structures and keywords scan a large amount of data. It then analyzes the data and inserts the findings for producing the article. This technology was initially implemented for sports and financial services and is used by a few established news publishers like The Los Angeles Times and Thomson Reuters. Automated journalism helps to free journalists from routine work. The process is also cheaper than journalism by journalists. Artificial Intelligence (A.I.) has the potential to improve automated journalism significantly. Despite such potential benefits and the increased popularity of A.I. in the context of automated journalism, research has been divided up thus far into different outlets, most of which are based on the publication venue. We curate and synthesize this dispersed knowledge by conducting a thorough literature evaluation of A.I. in automated journalism that has been published in the Chartered Association of Business School (CABS) listed journals between 2012 and 2022.