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#BDST: Bot Detection Support Tool for human annotators of Twitter data

The human annotation of social bots is an essential task for the training of new algorithms and bot detection techniques. How-ever, identifying bot users on social media is tricky and error-prone, even for expert annotators. Furthermore, this task is often time-consuming and the results are modest. The Bot Detection Support Tool (#BDST) is a tool developed in order to make it possible for a human annotator to better understand the behaviour of a Twitter
account through intuitive visualizations of the user's activity. Re-sults show a usable and e ective tool, with great potential for future research.


2019

External authors: Francesco Grisolia (Dip. Informatica, Università di Pisa), Serena Tardelli ( Ingegneria dell'Informazione, Università di Pisa), Stella Barberi (Università di Pisa)
IIT authors:

Type: Rapporto Tecnico
Field of reference: Information Technology and Communication Systems
IIT TR-03/2019

File: IIT-03-2019.pdf

Activity: Social Media Analysis