4 citations · 5 across the 7 of their papers we have counts for
7 papers
Taste for Privacy: How Context, Identity, and Lived-Experience Shape Information Sharing Preferences
Juniper Lovato, Laurent Hébert-Dufresne, Mohsen Ghasemizade +6
Privacy preferences are not fixed individual traits, they depend on context and lived experiences. In this study, we analyze 2,912 survey responses from 782 college students collec…
Defining and classifying models of groups: The social ontology of higher-order networks
Jonathan St-Onge, Randall Harp, Giulio Burgio +3
In complex systems research, the study of higher-order interactions has exploded in recent years. Researchers have formalized various types of group interactions, such as public go…
A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence
Jonathan St-Onge, Ashley M. A. Fehr, Carter Ward +6
Describing and comparing complex systems requires principled, theoretically grounded tools. Built around the phenomenon of type turbulence, allotaxonographs provide map-and-list vi…
Governance as a complex, networked, democratic, satisfiability problem
Laurent Hébert-Dufresne, Nicholas W. Landry, Juniper Lovato +6
Democratic governments comprise a subset of a population whose goal is to produce coherent decisions, solving societal challenges while respecting the will of the people. New gover…
Paradoxes in the co-evolution of contagions and institutions
Jonathan St-Onge, Giulio Burgio, Samuel F. Rosenblatt +2
Epidemic models study the spread of an undesired agent through a population, be it infectious diseases through a country, misinformation in online social media, or pests infesting…
Diverse Misinformation: Impacts of Human Biases on Detection of Deepfakes on Networks
Juniper Lovato, Laurent Hébert-Dufresne, Jonathan St-Onge +5
Social media platforms often assume that users can self-correct against misinformation. However, social media users are not equally susceptible to all misinformation as their biase…
Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter
Camille Roth, Jonathan St-Onge, Katrin Herms
Interaction networks are generally much less homophilic than affiliation networks, accommodating for many more cross-cutting links. By statistically assigning a political valence t…