422 citations · 1.2k across the 19 of their papers we have counts for
6 papers · 1 filter
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…
Detecting and Mitigating Bias in Algorithms Used to Disseminate Information in Social Networks
Vedran Sekara, Ivan Dotu, Manuel Cebrian +2
Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who are more likely to adopt ideas and s…
Uncovering large inconsistencies between machine learning derived gridded settlement datasets
Vedran Sekara, Andrea Martini, Manuel Garcia-Herranz +1
High-resolution human settlement maps provide detailed delineations of where people live and are vital for scientific and practical purposes, such as rapid disaster response, alloc…
Mobility Segregation Dynamics and Residual Isolation During Pandemic Interventions
Rafiazka Millanida Hilman, Manuel García-Herranz, Vedran Sekara +1
External shocks embody an unexpected and disruptive impact on the regular life of people. This was the case during the COVID-19 outbreak that rapidly led to changes in the typical…
How Do US Congress Members Advertise Climate Change: An Analysis Of Ads Run On Meta's Platforms
Laurenz Aisenpreis, Gustav Gyrst, Vedran Sekara
Ensuring transparency and integrity in political communication on climate change has arguably never been more important than today. Yet we know little about how politicians focus o…
Measuring large-scale social networks with high resolution
Arkadiusz Stopczynski, Vedran Sekara, Piotr Sapiezynski +4
This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and span…