Research
Projects
- Curating the Commons – AI, Wikipedia, and the Reconstruction of Notability. AHRC BRAID DOT, £171k, 2 years.
Wikipedia sits at the heart of the Internet’s knowledge infrastructure, openly and collaboratively documenting the ever-evolving record of human understanding. As a key training source for large language models, it now shapes the information that AI produces—yet these AI writing tools are increasingly being used by editors back on the platform itself. This project investigates how this reciprocal relationship may reproduce or reinforce biases within collective knowledge systems, focusing on the issue of notability: what and who is included in, or excluded from, these resources. Through ethnographic and computational analysis, including a public “edit-AI-thon”, we will examine how algorithmic and human practices intertwine in defining who and what counts.
Articles
- Beers, A., Ito, V., Orozco, A., Gildersleve, P., Aragón, P., & Tripodi, F. (2025). Refractive Datasets as a Sensemaking Methodology in Closed Data Ecosystems. Forthcoming, accepted at Big Data & Society, available on request..
- Gildersleve, P., Beers, A., Ito, V., Orozco, A., & Tripodi, F. (2025). WikiReddit: Tracing Information and Attention Flows Between Online Platforms. Proceedings of the International AAAI Conference on Web and Social Media (Vol. 19, pp. 2434-2445). Open access paper. Zenodo Dataset.
- Böwing, F., & Gildersleve, P. (2024). The News Comment Gap and Algorithmic Agenda Setting in Online Forums. arXiv preprint
- Gildersleve, P., Lambiotte, R., & Yasseri, T. (2023). Between news and history: identifying networked topics of collective attention on Wikipedia. Journal of Computational Social Science, 1-31. Open access paper
- Yasseri, T., Gildersleve, P., & David, L. (2022). Chapter 9 - Collective memory in the digital age. In S. M. O’Mara (Ed.), Progress in brain research (Vol. 274, p. 203-226). Elsevier. Paper arXiv
- Kobayashi, R., Gildersleve, P., Uno, T., & Lambiotte, R. (2021). Modeling Collective Anticipation and Response on Wikipedia. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 315-326. Open access paper.
- Dinh, R., Gildersleve, P., Blex, C., & Yasseri, T. (2021). Computational courtship understanding the evolution of online dating through large-scale data analysis. Journal of Computational Social Science, 1-26. Open access paper.
- Gildersleve, P., & Yasseri, T. (2018, March). Inspiration, captivation, and misdirection: Emergent properties in networks of online navigation. In International Workshop on Complex Networks (pp. 271-282). Springer, Cham. Paper. arXiv.
PhD Thesis
- The Wikipedia News Network: Understanding Collective Response to Current Events Through the Internet’s Encyclopaedia (2022). Thesis.
- Supervisors: Taha Yasseri, Renaud Lambiotte
- Assessors: Jonathan Bright, Brian Keegan
Media
- Oxford Sparks Podcast 12/02/20: Can data find me a date?
- BBC 01/10/18: Hot or not: Does rating yourself highly get you more dates?