Articles with public access mandates - Piotr SapiezynskiLearn more
Available somewhere: 18
Review
Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes
M Ali, P Sapiezynski, M Bogen, A Korolova, A Mislove, A Rieke
Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 199, 2019
Mandates: US National Science Foundation
Review
Evidence of Complex Contagion of Information in Social Media: An Experiment Using Twitter Bots
B Mønsted, P Sapieżyński, E Ferrara, S Lehmann
PLOS ONE 12 (9), 1-12, 2017
Mandates: Danish Council for Independent Research
Review
Evidence for a conserved quantity in human mobility
L Alessandretti, P Sapiezynski, V Sekara, S Lehmann, A Baronchelli
Nature Human Behaviour 2 (7), 485--491, 2018
Mandates: Danish Council for Independent Research, Villum Foundation
Review
Interaction Data from the Copenhagen Networks Study
P Sapiezynski, A Stopczynski, DD Lassen, S Lehmann
Scientific Data 6 (1), 1-10, 2019
Mandates: Danish Council for Independent Research, Villum Foundation
Review
Academic performance and behavioral patterns
V Kassarnig, E Mones, A Bjerre-Nielsen, P Sapiezynski, D Dreyer Lassen, ...
EPJ Data Science 7, 1-16, 2018
Mandates: Danish Council for Independent Research, Villum Foundation
Review
Quantifying the Impact of User Attention on Fair Group Representation in Ranked Lists
P Sapiezynski, W Zeng, RE Robertson, A Mislove, C Wilson
Companion Proceedings of The 2019 World Wide Web Conference, 553--562, 2019
Mandates: US National Science Foundation
Review
Multi-scale spatio-temporal analysis of human mobility
L Alessandretti, P Sapiezynski, S Lehmann, A Baronchelli
PLOS ONE 12 (2), 1-17, 2017
Mandates: Villum Foundation
Review
Inferring Person-to-person Proximity Using WiFi Signals
P Sapiezynski, A Stopczynski, DK Wind, J Leskovec, S Lehmann
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (2), 24:1-24:20, 2017
Mandates: Danish Council for Independent Research, Villum Foundation
Review
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
M Ali, P Sapiezynski, A Korolova, A Mislove, A Rieke
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
Mandates: US National Science Foundation
Review
Investigating sources of PII used in Facebook’s targeted advertising
G Venkatadri, E Lucherini, P Sapiezynski, A Mislove
Proceedings on Privacy Enhancing Technologies 1, 18, 2018
Mandates: US National Science Foundation
Review
The Role of Gender in Social Network Organization
I Psylla, P Sapiezynski, E Mones, S Lehmann
PLOS ONE 12 (12), 1-21, 2017
Mandates: Villum Foundation
Review
Auditing offline data brokers via facebook's advertising platform
G Venkatadri, P Sapiezynski, EM Redmiles, A Mislove, O Goga, ...
The World Wide Web Conference, 1920-1930, 2019
Mandates: US National Science Foundation, US Department of Defense, European …
Review
Algorithms that “Don’t See Color”: Measuring Biases in Lookalike and Special Ad Audiences
P Sapiezynski, A Ghosh, L Kaplan, A Mislove, A Rieke
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 609-616, 2022
Mandates: US National Science Foundation
Review
Inferring stop-locations from wifi
DK Wind, P Sapiezynski, MA Furman, S Lehmann
PloS one 11 (2), e0149105, 2016
Mandates: Villum Foundation
Review
Measurement and analysis of implied identity in ad delivery optimization
L Kaplan, N Gerzon, A Mislove, P Sapiezynski
Proceedings of the 22nd ACM Internet Measurement Conference, 195-209, 2022
Mandates: US National Science Foundation
Review
All things unequal: Measuring disparity of potentially harmful ads on facebook
M Ali, A Goetzen, A Mislove, E Redmiles, P Sapiezynski
Proceedings of the 2022 Workshop on Consumer Protection, 2022
Mandates: US National Science Foundation
Review
Emergence of network effects and predictability in the judicial system
E Mones, P Sapieżyński, S Thordal, HP Olsen, S Lehmann
Scientific reports 11 (1), 2740, 2021
Mandates: Villum Foundation
Review
Problematic Advertising and its Disparate Exposure on Facebook
M Ali, A Goetzen, A Mislove, EM Redmiles, P Sapiezynski
32nd USENIX Security Symposium (USENIX Security 23), 5665--5682, 2023
Mandates: US National Science Foundation
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