Laura Boeschoten

15 papers Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Assessing mobile instant messenger networks with donated data.
Soc. Netw. Anal. Min.
Rense Corten, Laura Boeschoten, Thijs Carrière, Stein Jongerius, Bella Struminskaya, Joris Mulder, Parisa Zahedi, Shiva Nadi Najafabadi, Adriënne Mendrik
2024 J jnl
Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies?
Internet Policy Rev.
Valerie Hase, Jef Ausloos, Laura Boeschoten, Nico Pfiffner, Heleen Janssen, Theo B. Araujo, Thijs Carrière, Claes de Vreese, Jörg Haßler, Felicia Loecherbach, Zoltán Kmetty, Judith Möller, Jakob Ohme, Elisabeth Schmidbauer, Bella Struminskaya, Damian Trilling, Kasper Welbers, Mario Haim
2024 J jnl
Open data work for empowered deliberative democracy: Findings from a living lab study.
Gov. Inf. Q.
Erna H. J. M. Ruijer, Carmen Dymanus, Erik-Jan van Kesteren, Laura Boeschoten, Albert Meijer
2023 — conf
On Text-based Personality Computing: Challenges and Future Directions.
ACL (Findings)
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
2023 J jnl
Port: A software tool for digital data donation.
J. Open Source Softw.
Laura Boeschoten, Niek C. de Schipper, Adriënne M. Mendrik, Emiel van der Veen, Bella Struminskaya, Heleen Janssen, Theo B. Araujo
2022 J jnl
On Text-based Personality Computing: Challenges and Future Directions.
CoRR
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
2022 J jnl
Privacy-preserving local analysis of digital trace data: A proof-of-concept.
Patterns
Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski
2021 J jnl
Achieving Fair Inference Using Error-Prone Outcomes.
Int. J. Interact. Multim. Artif. Intell.
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
2021 J jnl
Automatic de-identification of Data Download Packages.
CoRR
Laura Boeschoten, Roos Voorvaart, Casper S. Kaandorp, Ruben van den Goorbergh, Martine de Vos
2021 J jnl
Automatic de-identification of data download packages.
Data Sci.
Laura Boeschoten, Roos Voorvaart, Ruben van den Goorbergh, Casper S. Kaandorp, Martine de Vos
2021 J jnl
Privacy preserving local analysis of digital trace data: A proof-of-concept.
CoRR
Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski
2020 J jnl
A framework for digital trace data collection through data donation.
CoRR
Laura Boeschoten, Jef Ausloos, J. E. Möller, Theo B. Araujo, Daniel L. Oberski
2020 J jnl
Fair inference on error-prone outcomes.
CoRR
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
2020 — conf
Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages.
ICMI Companion
Laura Boeschoten, Irene I. van Driel, Daniel L. Oberski, Loes J. Pouwels
2019 J jnl
A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints.
J. Classif.
Laura Boeschoten, Marcel A. Croon, Daniel L. Oberski