AI-Powered Social Bots
By Terrence Adams. 2017
18 citations recorded by the source corpus.
This paper gives an overview of impersonation bots that generate output in one, or possibly, multiple modalities. We also discuss rapidly advancing areas of machine learning and artificial intelligence that could lead to frighteningly powerful new multi-modal social bots. Our main conclusion is that most commonly known bots are one dimensional (i.e., chatterbot), and far from deceiving serious interrogators. However, using recent advances in machine learning, it is possible to unleash incredibly powerful, human-like armies of social bots, in potentially well coordinated campaigns of deception and influence.
Subfields: Artificial Intelligence, Sociology and Political Science, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sneha Kudugunta
- Jingyue Li
- Emilio Ferrara
- Nektaria Kaloudi
- David M. Beskow
- Filippo Menczer
- Onur Varol
- Kristina Lerman
In Sociology and Political Science
- Sneha Kudugunta
- Jingyue Li
- Emilio Ferrara
- Nektaria Kaloudi
- David M. Beskow
- Filippo Menczer
- Kristina Lerman
- Adam Badawy
In Signal Processing
- Sneha Kudugunta
- Jingyue Li
- Emilio Ferrara
- Nektaria Kaloudi
- David M. Beskow
- Adam Badawy
- Kristina Lerman
- Filippo Menczer
Citations in the corpus
- The AI-Based Cyber Threat Landscape (2020, background): “The emergence of AI-powered social bots [2] enabled by sophisticated AI capabilities has two sides: simplifying data collection and data analysis.”
- Deep Neural Networks for Bot Detection (2018, background): “white paper discussed the capabilities of bots powered by sophisticated Artificial Intelligence [2].”