Abstract
Social networks were conceived as platforms for interaction, content
creation and engagement between users. Over time, browsing
these networks has become an integral part of everyday life, culminating
in billions of profiles created and accessed regularly on
various platforms. However, the ease of access and limited control
over content by the maintainers have turned social networks into a
favorable environment for fraudulent activities, allowing malicious
users to act as scammers in search of illicit benefits. Faced with
this scenario, academia and industry have dedicated themselves to
analyzing and developing methods to identify, detect, prevent and
mitigate scams. However, the diversity of scams, many with unique
characteristics, requires specific analysis and solutions for each
case. In this context, this paper proposes a systematization of social
media scams addressed in the literature between 2014 and 2024,
defining categories and subcategories based on their methodological
characteristics and objectives. The main result is a taxonomy
made up of 5 categories and 19 subcategories.