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DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection

A novel approach to modeling online user behavior extracts and analyzes digital DNA-inspired sequences from users’ online actions. Standard DNA analysis techniques can then discriminate between genuine and spambot accounts.


IEEE Intelligent Systems, 2016

External authors: Angelo Spognardi (DTU Compute, Technical University of Denmark)
IIT authors:

Type: Contributo in rivista ISI
Field of reference: Computer Science & Engineering

File: Cresci, 2016, DNA-inspired online behavioral modeling and its application to spambot detection.pdf

Activity: Social Media Analysis