110 citations · 119 across the 8 of their papers we have counts for
8 papers
Network-Normative Belief Updating in High-Dimensional Ideological Space
Chico Q. Camargo
Most mathematical models of opinion dynamics treat attitudes as scalar quantities or positions on a low-dimensional ideological axis. Empirical attitudes, however, are bundles of p…
Divided by discipline? A systematic literature review on the quantification of online sexism and misogyny using a semi-automated approach
Aditi Dutta, Susan Banducci, Chico Q. Camargo
Several computational tools have been developed to detect and identify sexism, misogyny, and gender-based hate speech, particularly on online platforms. These tools draw on insight…
Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai
Scott A. Hale, Adriano Belisario, Ahmed Mostafa +1
This study analyzes misinformation from WhatsApp, Twitter, and Kwai during the 2022 Brazilian general election. Given the democratic importance of accurate information during elect…
Impact of Network Centrality and Income on Slowing Infection Spread after Outbreaks
Shiv G. Yücel, Rafael H. M. Pereira, Pedro S. Peixoto +1
The COVID-19 pandemic has shed light on how the spread of infectious diseases worldwide are importantly shaped by both human mobility networks and socio-economic factors. Few studi…
Estimating Traffic Disruption Patterns with Volunteered Geographic Information
Chico Q. Camargo, Jonathan Bright, Graham McNeill +2
Accurate understanding and forecasting of traffic is a key contemporary problem for policymakers. Road networks are increasingly congested, yet traffic data is often expensive to o…
Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information
Chico Q. Camargo, Jonathan Bright, Scott A. Hale
Accurate modelling of local population movement patterns is a core contemporary concern for urban policymakers, affecting both the short term deployment of public transport resourc…
Measuring the Volatility of the Political agenda in Public Opinion and News Media
Chico Q. Camargo, Scott A. Hale, Peter John +1
Recent election surprises, regime changes, and political shocks indicate that political agendas have become more fast-moving and volatile. The ability to measure the complex dynami…
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Pérez, Chico Q. Camargo, Ard A. Louis
Deep neural networks (DNNs) generalize remarkably well without explicit regularization even in the strongly over-parametrized regime where classical learning theory would instead p…