Year: 2025
Type: conference-paper
Abstract: Social networks were conceived as platforms for interaction, contentcreation and engagement between users. Over time, browsingthese networks has become an integral part of everyday life, culminatingin billions of profiles created and accessed regularly onvarious platforms. However, the ease of access and limited controlover content by the maintainers have turned social networks into afavorable environment for fraudulent activities, allowing malicioususers to act as scammers in search of illicit benefits. Faced withthis scenario, academia and industry have dedicated themselves toanalyzing and developing methods to identify, detect, prevent andmitigate scams. However, the diversity of scams, many with uniquecharacteristics, requires specific analysis and solutions for eachcase. In this context, this paper proposes a systematization of socialmedia scams addressed in the literature between 2014 and 2024,defining categories and subcategories based on their methodologicalcharacteristics and objectives. The main result is a taxonomymade up of 5 categories and 19 subcategories.
Source: Anais do Computer on the Beach
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410770711