Social Botomics: A Systematic Ensemble ML Approach for Explainable and Multi-Class Bot Detection
OSN platforms are under attack by intruders born and raised within their own ecosystems. These attacks have multiple scopes from mild critiques to violent offences targeting individual or community rights and opinions. Negative publicity on microblogging platforms, such as Twitter, is due to the inf...
Saved in:
Main Authors: | Ilias Dimitriadis, Konstantinos Georgiou, Athena Vakali |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/d4f88d8e09204d8db15c09aa074c526f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
(Un)Trendy Japan: Twitter bots and the 2017 Japanese general election
by: Mintal Jozef Michal, et al.
Published: (2019) -
Automated Multidimensional Analysis of Global Events With Entity Detection, Sentiment Analysis and Anomaly Detection
by: Fahim K. Sufi, et al.
Published: (2021) -
E-SFD: Explainable Sensor Fault Detection in the ICS Anomaly Detection System
by: Chanwoong Hwang, et al.
Published: (2021) -
Pie bot
by: ACUÑA RIQUELME,RUBEN
Published: (1953) -
Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study
by: Marcio Trindade Guerreiro, et al.
Published: (2021)