CALEB: A Conditional Adversarial Learning Framework to enhance bot detection
Authors:
- Ilias DimitriadisIDIlias Dimitriadis
- George DialektakisGDGeorge Dialektakis
- Athena VakaliAVAthena Vakali
- 14 November 2023
- journal article
- research article
- Published by Elsevier in Data & Knowledge Engineering
- Vol. 149
Abstract
No abstract availableKeywords
Funding Information
- Aristotle University of Thessaloniki Research Committee
This publication has 32 references indexed in Scilit:
- The rise of social botsCommunications of the ACM, 2016
- The DARPA Twitter Bot ChallengeComputer, 2016
- BotOrNot2016
- DNA-Inspired Online Behavioral Modeling and Its Application to Spambot DetectionIEEE Intelligent Systems, 2016
- Profiling Online Social Behaviors for Compromised Account DetectionIEEE Transactions on Information Forensics and Security, 2016
- Fame for sale: Efficient detection of fake Twitter followersDecision Support Systems, 2015
- Twitter spammer detection using data stream clusteringInformation Sciences, 2014
- A study of the behavior of several methods for balancing machine learning training dataACM SIGKDD Explorations Newsletter, 2004
- The Kolmogorov-Smirnov Test for Goodness of FitJournal of the American Statistical Association, 1951
- LIII. On lines and planes of closest fit to systems of points in spaceJournal of Computers in Education, 1901