Dr Patrick Gildersleve

Dr Patrick Gildersleve

LSE Fellow in Computational Science

Department of Methodology

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Key Expertise
Wikis, News Media, Complex and Social Networks, Collective Attention

About me

"In my short time at the Department of Methodology I have been lucky enough to be granted research freedom to refine and publish work from my PhD in news media and on Wikipedia. I am looking forward to building upon this with new ventures and collaborations in my research career."
- Dr Patrick Gildersleve shares what he is looking forward to in his research as part of our 30th Anniversary celebrations. Read the full close-up with Methodology faculty.


Patrick is an LSE Fellow in Computational Social Science in the Department of Methodology. Patrick graduated with a Masters in Physics from the University of Oxford, before completing his PhD at the Oxford Internet Institute in 2021 where he held a number of supplementary research and teaching roles.

In his PhD research Patrick worked on studying the intersection of news media and Wikipedia. Patrick analysed how current events are recorded and accessed on the online collaborative encyclopaedia as well as its implications for theories of news values, newsworthiness, and collective attention dynamics. Several works from his thesis are currently being prepared for publication.

Patrick is also establishing his own broader research agenda beyond his PhD, with themes centred around computational, social, and network science approaches towards collaborative systems, news media, and wider questions of collective attention, memory, and action. He is also keenly interested in the interaction between different online platforms and how information and individuals move between them.


  • Gildersleve, P., Lambiotte, R., & Yasseri, T. (2022). Between News and History: Identifying Networked Topics of Collective Attention on Wikipedia. arXiv preprint arXiv:2211.07616.
  • 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.

  • Kobayashi, R., Gildersleve, P., Uno, T., & Lambiotte, R. (2021, May). Modeling Collective Anticipation and Response on Wikipedia. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 15, pp. 315-326).

  • 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.

My research