129 citations · 145 across the 5 of their papers we have counts for
6 papers
Survey-Based Calibration of the One-Community and Two-Community Social Network Models Used for Testing Singapore's Resilience to Pandemic Lockdown
Jon Spalding, Bertrand Jayles, Renate Schubert +2
A resilient society is one capable of withstanding and thereafter recovering quickly from large shocks. Brought to the fore by the COVID-19 pandemic of 2020--2022, this social resi…
The impact of incorrect social information on collective wisdom in human groups
Bertrand Jayles, Ramón Escobedo, Stéphane Cezera +4
A major problem that resulted from the massive use of social media networks is the diffusion of incorrect information. However, very few studies have investigated the impact of inc…
Crowd control: Reducing individual estimation bias by sharing biased social information
Bertrand Jayles, Clément Sire, Ralf H. J. M Kurvers
Cognitive biases are widespread in humans and animals alike, and can sometimes be reinforced by social interactions. One prime bias in judgment and decision-making is the human ten…
Impact of sharing full versus averaged social information on social influence and estimation accuracy
Bertrand Jayles, Clément Sire, Ralf H. J. M Kurvers
The recent developments of social networks and recommender systems have dramatically increased the amount of social information shared in human communities, challenging the human a…
Collective Information Processing in Human Phase Separation
Bertrand Jayles, Ramón Escobedo, Roberto Pasqua +6
Social media filters combined with recommender systems can lead to the emergence of filter bubbles and polarized groups. In addition, segregation processes of human groups in certa…
How social information can improve estimation accuracy in human groups
Bertrand Jayles, Hye-rin Kim, Ramón Escobedo +5
In our digital and connected societies, the development of social networks, online shopping, and reputation systems raises the question of how individuals use social information, a…