About me
I am a Post-doctoral researcher at the médialab Sciences Po in Paris. I work on the AI-Political Machines project under the supervision of Pedro Ramaciotti Morales.
At the intersection of theoretical models and empirical analyses, my research focuses on the structure of online political and informational landscapes. I am particularly interested in the study of multi-dimensional opinion dynamics. I also strive to conduct research to help address the crucial challenge of the regulation of social media.
I am also affiliated with the Paris Institute of Complex Systems, and the Digital Speech Lab at University College London.
Previously, I was a PhD student in the Computer Science department of University College London, where I studied the echo chamber effect in social media and proposed methods to mitigate it. I was part of the Centre for Doctoral Training in Cybersecurity. My research project was supervised by Benjamin Guedj and Shi Zhou.
Latest publication
Voter model can accurately predict individual opinions in online populations
- A. Vendeville. Voter model can accurately predict individual opinions in online populations. Physical Review E, 111, 064310. Preprint on arXiv, HAL. Featured in Physics Magazine.
In this paper, I show that the Voter Model can predict individual opinions in a large, heterogeneous online population. I study a retweet network collected during the 2017 French presidential elections where accounts of political entities are fixed as reference points. I show that in its equilibrium state, the Voter Model correctly identifies ground-truth opinions of more than 92% of the users.
