Look, the assistant from ARA that offers you the best cultural and gastronomic plans in Barcelona
Users can consult all the information about proposals for music, theater, cinema, exhibitions, and restaurants, among others
L’ARA continues to bet on innovation with 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 judgment to discover what to do in the city quickly and personally. With Goita, users can make queries such as “What can I do this weekend?”, “Theater today” or “Where to dine 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.
Click on the link to use Goita.
Goita allows you to explore a wide range of cultural events, including concerts, theater, cinema, exhibitions, restaurants, bars, and other leisure venues. The objective is to simplify the search for quality leisure activities through an agile and intuitive tool that highlights the entire cultural and gastronomic ecosystem of the city. The system uses open data from the Barcelona City Council, other external sources specifically selected for their reliability, and internal sources from ARA, especially the content published in the Culture and Mengem sections. In the case of 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 events calendar, and ARA's own judgment.
With the launch of Goita, ARA is committed to a responsible and contextualized use of artificial intelligence, closely linked to the cultural offerings of the region and the interests of our readers. Furthermore, it emphasizes journalistic criteria in an environment characterized by a large volume of content and shows the origin of the information used in each of the recommendations, in order to guarantee transparency in the data.