Laura Boeschoten

According to our database, Laura Boeschoten authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies?

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

Internet Policy Rev., 2024

Open data work for empowered deliberative democracy: Findings from a living lab study.

Erna H. J. M. Ruijer, Carmen Dymanus, Erik-Jan van Kesteren, Laura Boeschoten, Albert Meijer

Gov. Inf. Q., 2024

2023

Port: A software tool for digital data donation.

Laura Boeschoten, Niek C. de Schipper, Adriënne M. Mendrik, Emiel van der Veen, Bella Struminskaya, Heleen Janssen, Theo B. Araujo

J. Open Source Softw., October, 2023

On Text-based Personality Computing: Challenges and Future Directions.

Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Privacy-preserving local analysis of digital trace data: A proof-of-concept.

Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski

Patterns, 2022

2021

Achieving Fair Inference Using Error-Prone Outcomes.

Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski

Int. J. Interact. Multim. Artif. Intell., 2021

Automatic de-identification of data download packages.

Laura Boeschoten, Roos Voorvaart, Ruben van den Goorbergh, Casper S. Kaandorp, Martine de Vos

Data Sci., 2021

2020

A framework for digital trace data collection through data donation.

Laura Boeschoten, Jef Ausloos, J. E. Möller, Theo B. Araujo, Daniel L. Oberski

CoRR, 2020

Fair inference on error-prone outcomes.

Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski

CoRR, 2020

Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages.

Laura Boeschoten, Irene I. van Driel, Daniel L. Oberski, Loes J. Pouwels

Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

2019

A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints.

Laura Boeschoten, Marcel A. Croon, Daniel L. Oberski

J. Classif., 2019