L'ARA launches Goita, the assistant that offers you the best cultural and gastronomic plans in Barcelona

L’ARA continues to bet on innovation and today launches the beta version of Goita, an assistant that will help discover the best cultural and gastronomic proposals in Barcelona by leveraging the conversational potential of artificial intelligence. The new tool combines technology, reliable sources, and editorial criteria to discover what to do in the city quickly and personalized. With Goita, users can make queries such as “What can I do this weekend?”, “Theater today” or “Where to have dinner near me?” and receive concrete answers adapted to the date, area, and type of plan they are looking for. It can be found on the website goita.ara.cat and in the ARA app, and this first trial version will serve to analyze which types of searches are most used by our readers and how the responses can be improved from the tool itself.

Goita allows you to explore a wide range of cultural events, including concerts, theatre, cinema, exhibitions, restaurants, bars, and other entertainment venues. The objective is to simplify the search for quality leisure through an agile and intuitive tool that highlights the city's entire cultural and gastronomic ecosystem. The system uses open data from the Barcelona City Council, other external sources specifically selected for their reliability, and internal sources from ARA, especially content published in the Culture and Mengem sections. For restaurant searches, for example, the responses include links to some of the articles and reviews published by our gastronomy experts. The idea is to combine technology, an agenda, and ARA's own criteria.

With the launch of Goita, ARA is committed to a responsible and contextualized use of artificial intelligence, closely linked to the region's cultural offerings and the interests of our readers. Furthermore, it values journalistic criteria in an environment marked by a large volume of content and shows the origin of the information used in each recommendation, in order to guarantee data transparency.