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A term that attempts to describe the procedures that have been brought about by recent technological changes in the field of journalism. Characterized by researchers as “the process of using software or algorithms to automatically generate news stories" (Graefe 2016) and “the combination of algorithms, data, and knowledge from the social sciences to supplement the accountability function of journalism” (Hamilton and Turner 2009).
2. Definition of Algorithmic Journalism
3. Areas of Application
Automated content production;
3.1 Automated contend production
The automation of the news creation process is perhaps the most important - and as a result the most controversial - of all the fields of application for algorithmic technology in journalism (Montal and Reich 2017; Schapals and Pmontaorlezza 2020). In the grand scheme of things, this particular field of application is considered a relatively recent development in the field of journalism (Ali and Hassoun, 2019; Graefe 2016) and it consists mainly of algorithms and automated software that are capable of creating news stories on their own (Diakopoulos 2019).
One of the most well known examples of early applications for automatic content production is that of "Quakebot", a program that was created on behalf of the Los Angeles Times in 2014. Its purpose was to closely monitor data from the US Geological Survey in an attempt to identify instances on seismic activity and proceed to write and publish simple reports on them (Otter 2017). Since then, automatic content production has taken major steps forward, to the point where some of the biggest contributors to the industry such as Forbes and The New York Times often rely on algorithmic production for their content, with the end result being almost impossible to distinguish from human writing (Clerwall 2014).
The basis for the innovations in automated content production is a technology called "Natural Language Generation" or NLG for short. Natural language generation is defined as "the automatic creation of text from digital structured data" (Caswell and Dörr 2018) and it is a technology that first made its appearance in the 1950s within the context of machine translation (Reiter 2010). NLG has seen exponential growth in the past few years and in light of these developments many industries begun to utilize it alongside artificial intelligence to further improve their products and services, with the news media industry being no exception to this rule (Diakopoulos 2019).
3.2 Data Mining
3.3 News dissemination
3.4 Content Optimization
The entry is from 10.3390/journalmedia2020014
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