Identifying Bots in Social Networks Using the Example of LiveJournal
Social networks have firmly entered the lives of billions of global Internet users worldwide. They communicate in social networks, play online games, make purchases, organise online events — exchange content from all walks of life [1, 2]. The most popular and well-known services in Russia are Vkonta...
Saved in:
| Main Authors: | A. A. Kochkarov, N. V. Kalashnikov, R. A. Kochkarov |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Government of the Russian Federation, Financial University
2020-11-01
|
| Series: | Мир новой экономики |
| Subjects: | |
| Online Access: | https://wne.fa.ru/jour/article/view/269 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Social bots spoil activist sentiment without eroding engagement
by: Linda Li, et al.
Published: (2024-11-01) -
Social Bot Detection using Machine Learning Algorithms: A Survey and Research Challenges
by: Kayhan Zrar Ghafoor
Published: (2023-09-01) -
Challenges in machine learning-based social bot detection: a systematic review
by: Nasser Alkathiri, et al.
Published: (2025-08-01) -
Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance
by: Firgiawan Faira, et al.
Published: (2025-04-01) -
Cerberus: cross-site social bot detection system based on deep learning
by: TANG Jiawei, et al.
Published: (2024-12-01)