Security of Social Networks: Lessons Learned on Twitter Bot Analysis in the Literature
Sanaz Adel Alipour, Rita Orji, Nur Zincir-Heywood · Proceedings of the 17th International Conference on Availability, Reliability and Security · 2022
Twitter is one of the popular social network platforms used by both humans and bots to share information, and to distribute misinformation or disinformation. The goal of this research is to explore state-of-the-art Twitter bot detection systems: Botometer, and Tweetbotornot. In doing so, we aim to understand their characteristics, similarities, and differences as well as to identify additional methods to improve their performances. Evaluations performed on 15 datasets show that the proposed methods used as add-ons to Botometer were able to improve the detection of bot/human accounts on Twitter using the simple characteristics of Twitter accounts.