Dissecting a social bot powered by generative AI
Anatomy, new trends and challenges
Bibliographic Data
| ID | 16858642 |
|---|---|
| Authors | Salvador Lopez-Joya (0009-0000-9290-6528, Universidad de Granada, corresponding author), Jose A Diaz-Garcia (0000-0002-9263-1402, Universidad de Granada), M Dolores Ruiz (0000-0003-1077-3173, Universidad de Granada), Maria J Martin-Bautista, Marı́a J Martı́n-Bautista (0000-0002-6973-477X, Universidad de Granada) |
| Year | 2025 |
| Volume | 15 |
| Issue | 1 |
| Publication date | 2025-03-10 |
| 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/s13278-025-01410-5 |
| OpenAlex | W4408283715 |
| Language | EN |
| References cited | 83 |
The rise of social networks has transformed communication, information sharing and entertainment, but it has also facilitated the rise of harmful activities such as the spread of misinformation, often through the use of social bots. These automated accounts that mimic human behaviour have been implicated in significant events, including political interference and market manipulation. In this paper, we provide a comprehensive review of recent advances in social bot detection, with a particular focus on the role of generative AI and large language models. We present a new categorisation scheme for bots that aims to reduce class overlap while maintaining generality. In addition, we analyse the most commonly used datasets and state-of-the-art classification techniques, and through user profile-based measures, we use Explainable Artificial Intelligence (XAI) and data mining techniques to uncover factors that contribute to bot misclassification. Our findings contribute to the development of more robust detection methods, which are essential for mitigating the impact of malicious bots on online platforms
Biology · Data science · Generative grammar · Machine learning · Advanced Malware Detection Techniques · Computer Science · Misinformation and Its Impacts · Spam and Phishing Detection · Anatomy · Artificial Intelligence
Umap
The rise of social bots
LIII. On lines and planes of closest fit to systems of points in space
Online Human-Bot Interactions
Preferred reporting items for systematic reviews and meta-analyses
Detection of Malicious Social Bots Using Learning Automata With URL Features in Twitter Network
Artificial Misinformation
Detecting and Tracking Political Abuse in Social Media
Arming the public with artificial intelligence to counter social bots
Social bot detection in the age of ChatGPT
The coming age of adversarial social bot detection
Black Trolls Matter
Impact of misinformation from generative AI on user information processing
Troll Factories
Text classification models for personality disorders identification
Public attitudes toward chatgpt on twitter
DeeProBot
Ganbot
A large-scale analysis of Persian Tweets regarding Covid-19 vaccination
Demystifying Social Bots
| Highly cited | No |
|---|