Ganbot
A GAN-based framework for social bot detection
Bibliographic Data
| ID | 4652002 |
|---|---|
| Authors | Shaghayegh Najari (University of Tehran), Mostafa Salehi (0000-0002-2577-5828, University of Tehran, corresponding author), Reza Farahbakhsh (0000-0003-3219-3700, Institut Polytechnique de Paris) |
| Year | 2022 |
| Volume | 12 |
| Issue | 1 |
| Pages | 4-4 |
| Publication date | 2022-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-021-00800-9 |
| PMID | 34804252 |
| OpenAlex | W3214818997 |
| Language | EN |
| Citations received | 5 |
| References cited | 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
| Citations per year | 1.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |