3 papers
cs.CY2026
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…
cs.SI2026
Predictable Drifts in Collective Cultural Attention: Evidence from Nation-Level Library Takeout Data
Anders Weile, Vedran Sekara
Predicting changes in consumer attention for cultural products, such as books, movies, and songs, is notoriously difficult. Past research suggests intrinsic limits for predicting c…
cs.CY2025
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…