Designing a questionnaire that can provide valuable insights in order to characterize its respondents usually involves a systematic approach to gather, process, analyze and interpret the resulting data. For this study we created a scenario in which young adults respondents are endowed with an expert social media user role and are asked to note their feedback in a simulated fake news spreading situation which was designed to target the most sensitive problems of the moment such as pandemic, wars or easy money rewards on social platforms in order to trigger their reactance. Using inferential statistics we identified three groups within the respondent pool and based on their attributes we defined three user profiles: the two extreme profiles show significant differences in terms of social media behavior, while the middle one shares characteristics of both extremes. These results can be further used in a decision-making process in order to identify the users’ reactance to fake news based on their social media behavior profile.