Dr Yasseri left the OII to join University College Dublin as an Associate Professor of Sociology in July 2020.
Taha Yasseri was a Senior Research Fellow in Computational Social Science at the OII, a Turing Fellow at the Alan Turing Institute for Data Science, and a Research Fellow in Humanities and Social Sciences at Wolfson College, University of Oxford. Taha Yasseri has interests in analysis of large-scale transactional data and conducting experiments to understand human dynamics, government-society interactions, mass collaboration and collective intelligence, information and opinion dynamics, collective behaviour, and online dating.
computational social science, information dynamics, collective action, peer production, collective intelligence, human dynamics, social media, conflict and cooperation, opinion formation, online dating, collective behaviour, social networks, agent-based modelling, machine learning
Dr Yasseri graduated from the Institute of Theoretical Physics at the University of Göttingen, Germany (2010) with a PhD in Complex Systems Physics at the age of 25. Prior to coming to Oxford, he spent two years as a Postdoctoral Researcher at the Budapest University of Technology and Economics, working on the social complexity of collaborative community of Wikipedia editors, focusing on conflict and editorial wars, along with Big Data analysis to understand human dynamics, language complexity, and popularity spread.
By Javier Borge-Holthoefer (Editor), Yamir Moreno (Editor), and Taha Yasseri (Editor)
An edited collection of articles addressing lessons and challenges in Computational Social Science, and scientific opportunities for tackling the fundamental features of social complexity.
By Helen Margetts, Peter John, Scott Hale, and Taha Yasseri
This book demonstrates how data science and experimentation with social data can provide a methodological toolkit for understanding, shaping, and perhaps even predicting the outcomes of a new "democratic turbulence".
This project uses computational social science to understand the dissemination and reception of narratives of sustainable food consumption on Social Media.
The project will explore British Museum visitor data in order to establish a better understanding of visitor experience at the Museum.
In this project, we examine the preferences, patterns of interactions, and communication between male and female users of the online dating site eHarmony over the past ten years to understand the evolution of online dating.
Between 2012-2020, Dr Yasseri received funding from EPSRC, The Wellcome Trust, European Commission (Horizon 2020), Google Inc, eHarmony, Oxford University John Fell Fund, Howard Hughes Medical Institute, Bill & Melinda Gates Foundation, ESRC, JISC.
His research was conducted in line with the University’s academic integrity code of practice.
23 October 2020
1 November 2019
A unique new study has found a live music event not only can increase listenership among people who attend the event, but can “infect” the non-attendee listeners who are in the social proximity of concert attendees.
7 December 2018
When it comes to online dating, singles only have the capacity to effectively communicate with around seven new people per week, even though they might have access to hundreds of potential ‘matches’.
27 September 2018
Experts from the Oxford Internet Institute, University of Oxford analysed 150,000 profiles and a decade’s worth of eharmony communication data
BBC World Service, 12 March 2017
Dr Taha Yasseri discusses his research into how software robots that are designed to make articles on Wikipedia better often end up having online fights lasting years over changes in content.
BBC News, 10 March 2017
Dr Taha Yasseri and his colleagues at the OII have been looking at by studying the behaviour of bots that maintain pages on Wikipedia. It turns out that sometimes they disagree over edits.
The Guardian, 24 February 2017
A new study by Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi and Taha Yasseri finds that Wikipedia is a battleground where silent wars between bots have raged for years.
