AI editing of human texts introduces directional biases that amplify through social networks to steer collective opinions, demonstrated empirically and via an analytical model with a real-world audit of Grok on X.
Opinion dynamics: A comprehensive overview
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
Ratio-dependent contrarian activation in groups of three extends the Galam model to allow strategies that bias outcomes toward the initial majority or enforce random fifty-fifty results.
citing papers explorer
-
AI-Mediated Communication Can Steer Collective Opinion
AI editing of human texts introduces directional biases that amplify through social networks to steer collective opinions, demonstrated empirically and via an analytical model with a real-world audit of Grok on X.
-
Ratio-Dependent Contrarian Activation in Opinion Dynamics
Ratio-dependent contrarian activation in groups of three extends the Galam model to allow strategies that bias outcomes toward the initial majority or enforce random fifty-fifty results.
- Opinion Polarization in LLM-Based Social Networks: Manipulation and Mitigation