422 citations · 1.2k across the 19 of their papers we have counts for
5 papers · 1 filter
It Takes So Little to Change So Much: Investigating the Robustness of a Danish Voting Advice Algorithm
Giovanni Astante, Roberta Sinatra, Vedran Sekara
Voting Advice Applications (VAA) are tools designed to help voters compare political candidates on policy preferences prior to elections. VAAs are popular tools in European countri…
Data Bias in Human Mobility is a Universal Phenomenon but is Highly Location-specific
Katinka den Nijs, Elisa Omodei, Vedran Sekara
Large-scale human mobility datasets play increasingly critical roles in many algorithmic systems, business processes and policy decisions. Unfortunately there has been little focus…
The Fallibility of Contact-Tracing Apps
Piotr Sapiezynski, Johanna Pruessing, Vedran Sekara
Since the onset of the COVID-19's global spread we have been following the debate around contact tracing apps -- the tech-enabled response to the pandemic. As corporations, academi…
Temporal Limits of Privacy in Human Behavior
Vedran Sekara, Enys Mones, Håkan Jonsson
Large-scale collection of human behavioral data by companies raises serious privacy concerns. We show that behavior captured in the form of application usage data collected from sm…
SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events
Andrea Cuttone, Per Bækgaard, Vedran Sekara +3
We propose a Bayesian model for extracting sleep patterns from smartphone events. Our method is able to identify individuals' daily sleep periods and their evolution over time, and…