The development of algorithms into their current form could not take place without the involvement of the Prague Stock Exchange, whose management provided researchers with access to online trading data. One of the key things to make good decisions in stock exchange transactions is a sufficient amount of quality information. Developed algorithms are now able to generate seven basic reports in a single second, including headlines and titles without the intervention of journalists. The scope of the report corresponds to standard news texts published by CPO every week after the stock exchange closure. The researchers also carried out statistical analyzes of CPO historical data and based on them, created a template system that automatically generates reports that are as close as possible to journalists' outputs. They are currently experimenting with more versatile and fully automatic methods that will be more portable across thematic domains, such as weather or sports.
In the coming days, CPO will begin testing automated tools that will significantly speed up the publication of routine news texts and allow journalists to create content with higher added value. The generated texts will be loaded into the content management system and will go through standard agency processing as reports created from the beginning by the editors. However, tracing and copying of data will be eliminated and the whole process should be significantly accelerated.
In addition to CPO, scientists will test artificial intelligence tools in the news department of Czech Television. They compare the speed and accuracy of the application's creation and verification, and then evaluate its impact on journalism in the future.
The project exploring the transformation of journalistic ethics with the advent of elements of artificial intelligence into the news was initiated by Charles University, which invited artificial intelligence experts from the Czech Technical University, Czech language specialists from the University of West Bohemia and CTK as a guarantor. It was created as part of the 2nd public tender of the ÉTA Program - for the Support of Applied Social Sciences and Humanities Research, Experimental Development and Innovation of the Technology Agency of the Czech Republic.