The editor is an analyst who knows what news is more important, which depends on the interaction and visits that it re-ceives on social media thanks to these feeds. Heredia specifically reflects on sports journalism, stating that “there is a lot of journalistic content that can be resolved with technologies such as data visualization, that is, through the numerical analy-sis of different statistics that are used to write pieces that may appear to be written by a human. Many of the journalistic contents contain critical factual data, which can be analyzed by a machine”, that is why “the influence of big data and arti-ficial intelligence may be more important in sports journalism, which is based on data more than other types of journalism such as political or social journalism.”

Daniel Guerrero, the company’s director of marketing and business development, defines the relationship between artifi-cial intelligence and big data in regards to journalism as “the relationship that a parent has with their child: they know what is going to happen to him/her, even if they do not want to, knowing that he/she will have a greater capacity in the future than with current resources and that he/she will be infinitely attracted, even if at times they think that they are not perfect and that it could harm him/her in some way”.

BeSoccer currently works with 40 journalist editors in Portuguese, Italian, English, French, and Spanish, averaging 700 news items a day and a total of 250,000 news items a year.

The organization chart is divided into five rooms:

Development, with 21 employees, mainly developers, and engineers.

Editorial, with 41 employees, all journalists, 25 in Spanish and 16 in French, English, Portuguese, and Italian.

Data, with 20 data managers and analysts.

Marketing, with 10 employees

R &D, with 9 employees, four of them are big data experts.

With this employment data, when asked about the possible ethical problems resulting from the use of artificial intelligence and big data in journalism, Heredia points out that “there can be job destruction at first due to the fact that these technol-ogies would have much lower production costs. Therefore, if there were ethical implications, they would be related to the modification of the structure of employment, not to the performance of tasks”. Guerrero points out the worker’s respon-sibility, “ethically, the problem can result in the professional being exempted from responsibilities before third parties, making excuses that the technology does their job leaving them with nothing to do.”

The internal organization of data is one of the most important elements, which is why there are 15 people in charge of the data department, with over 560 hours of work per week; five specialized workers in football in Latin America; 10 employees who take the games live every weekend, in 6000 matches per day. Also, the organization itself has internal data auditing tools.

Its databases handle 35000 leagues worldwide, more than 2000 competitions with over half a million teams, over one mil-lion players, and more than nine million stored matches. Managing this data is unfathomable for humans, which is why, Heredia points out that the future of professional journalism in contact with big data and artificial intelligence will be “first-ly, content supervising and analyzing results. Content writing will have much less importance because these technological