Ganbot
A GAN-based framework for social bot detection
Datos Bibliográficos
| ID | 4652002 |
|---|---|
| Autores | Shaghayegh Najari (University of Tehran), Mostafa Salehi (0000-0002-2577-5828, University of Tehran, autor de correspondencia), Reza Farahbakhsh (0000-0003-3219-3700, Institut Polytechnique de Paris) |
| Año | 2022 |
| Volumen | 12 |
| Número | 1 |
| Páginas | 4-4 |
| Fecha de publicación | 2022-12-01 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Social Network Analysis and Mining (JOURNAL) |
| Identificadores de la revista | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-021-00800-9 |
| PMID | 34804252 |
| OpenAlex | W3214818997 |
| Idioma | EN |
| Citas recibidas | 5 |
| Referencias citadas | 50 |
Adversarial system · Artificial neural network · Generative grammar · Machine learning · Social media · World Wide Web · Advanced Malware Detection Techniques · Computer Science · Misinformation and Its Impacts · Spam and Phishing Detection · Artificial Intelligence
Computing Machinery and Intelligence (1950)
BotOrNot
The rise of social bots
Online Human-Bot Interactions
Long Short-Term Memory
I.—computing Machinery and Intelligence
Social bots distort the 2016 U.S. Presidential election online discussion
Evolution of bot and human behavior during elections
Disinformation and social bot operations in the run up to the 2017 French presidential election
What types of Covid-19 conspiracies are populated by Twitter bots
A Comparative Study of Bot Detection Techniques With an Application in Twitter Covid-19 Discourse
Leveraging node neighborhoods and egograph topology for better bot detection in social graphs
| Citas por año | 1,67 |
|---|---|
| Intervalo de citas | 2023 - 2026 (4) |
| Altamente citado | No |