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- Can Scopus AI help to understand e-cigarette experimentation?Publication . Ravara, Sofia; Cruz, Carla Dias Marques da; Cunha Filho, Hilson; Martins, Oliva M.D.According to the most recent data from the 5th National Survey on the Consumption of Psychoactive Substances in the General Population, Portugal (SICAD, 2022), tobacco consumption remains relatively high. Consumption is lower among young people (15-24 years old) and in the older age groups, 65 and over. According to the same report, experimentation happens even earlier, around the age of 16, in both sexes. And 96 per cent report low motivation to quit. There is an upward trend in experimentation with new products (e-cigarettes and heated tobacco) among young people aged between 13 and 18 (Lavado and Calado, 2020; SICAD, 2023, preliminary data). The risk of addiction depends on several factors, especially the young age of experimentation and the intensity of use of nicotine-based products. Considering that there is safe and effective treatment for quitting, and with a view to counselling society in general, the Portuguese Society of Pneumonology has launched a campaign on the two leading social networks: Facebook and Instagram. Associated with World No Tobacco Day 2024, the campaign ran between 24/05/2024 and 31/05/2024 and reached 5140 people on Facebook and 18437 people on Instagram. The second campaign was associated with European Ex-Smokers' Day 2024, ran between 23/09/2024 and 28/09/2024, and reached 6102 people on Facebook and 11155 on Instagram. These results are considered insufficient. However, they may also represent a lack of interest in this type of information, especially for young people. With so much information, why are young people still experimenting? Aiming to understand the factors that lead young people to experiment with electronic cigarettes, a search was conducted using Scopus AI to explore the main articles indexed in this database. The objective is to identify variables, indicators, and respective relationships to find a model. In other words, to identify significant factors that can be used by social marketing to describe, explain, and predict desired behavior.