
Taha Yasseri analyses large-scale transactional data to understand human dynamics, collective behaviour, collective intelligence and machine intelligence, information dynamics, conflict and collaboration, online dating, and online political behaviour.
Dr Taha Yasseri
Former Senior Research Fellow in Computational Social Science
Profile
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.
Research interests
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
Selected publications
- Ternovski, J., & Yasseri, T. (2020). Social complex contagion in music listenership: A natural experiment with 1.3 million participants. Social Networks, 61, 144-152.
- Wachs, J., Yasseri, T., Lengyel, B., & Kertész, J. (2019). Social capital predicts corruption risk in towns. Royal Society Open Science, 6(4), 182103.
- Melville, S., Eccles, K. and Yasseri, T. (2019). Topic modeling of Everyday Sexism project entries. Front. Digit. Humanit. 5:28.
- (2017). The memory remains: Understanding collective memory in the digital age, Science Adv. 3 (4) e1602368.
- (2017). Even good bots fight: The case of Wikipedia, PLoS One. 12 (2) e0171774.
- Vidgen, B., and Yasseri, T. (2016). P-values: misunderstood and misused. Frontiers in Physics, 4, 6.
- Margetts, H., John, P., Hale, S., and Yasseri, T. (2015). Political turbulence: how social media shape collective action, Princeton University Press.
- Gillani, N., Yasseri, T., Eynon, R., and Hjorth, I. (2014). Structural limitations of learning in a crowd: communication vulnerability and information diffusion in MOOCs. Scientific reports, 4, 6447.
- Mestyán, M., Yasseri, T., and Kertész, J. (2013). Early prediction of movie box office success based on Wikipedia activity big data. PloS one, 8(8).
- Yasseri, T., Sumi, R., Rung, A., Kornai, A., & Kertész, J. (2012). Dynamics of conflicts in Wikipedia. PloS one, 7(6), e38869.
Biography
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.
Positions held at the OII
- Senior Research Fellow in Computational Social Science, May 2017 – June 2020
- Research Fellow in Computational Social Science, January 2015 – April 2017
- Big Data Research Officer, November 2012 – December 2014
Students and Postdocs supervised at the OII
Past
- Postdoc: Dr Milena Tsvetkova (Assis. Prof., LSE), Dr Ruth García-Gavilanes (Data Scientist, Skyscanner)
- DPhil: Mary Sanford, Paul Röttger, Chris Blex, Patrick Gildersleve, Dr Bertie Vidgen (Postdoc, Alan Turing Institute)
- MSc: Vincent Straub Distinction, Ben Porter, Menno Schellekens Distinction (Stichting DSDC), Victor Maimone Distinction, Alicia Mergenthaler (University of Liverpool), Carla Intal Distinction, Best Thesis Prize (LinkedIn), Rachel Dinh (The Partnership on AI), Mary Sanford (Mesaic), Dr Olga Kokoulina (University of Copenhagen), Jannie Reher Distinction (Quantum Analytics), Lily McElwee Distinction (University of Oxford), Judith Dada Distinction, Special Commends (Facebook), Eli Rachovitsky-Duarte, Jennie Zhang (Uber), Pu Yan Distinction (OII), Ann Samoilenko (GESIS), Joao Fiadeiro Distinction (Facebook)
- Visiting Students: Talayeh Aledavood, Anders Mollgaard, Annika Kreil, Johannes Wachs
Research
Past projects
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Social media narratives of sustainable food consumption
Participants: Dr Taha Yasseri, Mary Sanford
This project uses computational social science to understand the dissemination and reception of narratives of sustainable food consumption on Social Media.
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Listening to the crowd: Data science to understand the British Museum
Participants: Dr Taha Yasseri, Coline Cuau, Naomi Muggleton, Timothy Monteath
The project will explore British Museum visitor data in order to establish a better understanding of visitor experience at the Museum.
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Computational Romance: Understanding How Online Dating Has Evolved Over the Past Ten Years Through Large Scale Data Analysis
Participants: Dr Taha Yasseri, Rachel Dinh, Patrick Gildersleve
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.
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The “Offensive Internet”? Examining Cultures of Hate and Prejudice Online
Participants: Dr Taha Yasseri, Dr Kathryn Eccles, Dr Vicki Nash, Lucas Wright
This project examines the cultures of offensive speech online. It aims to learn about how offensive material is created, about the actors who produce and disseminate it, and the ways in which it is challenged.
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HUMANE: a typology, method and roadmap for HUman-MAchine Networks
Participants: Dr Taha Yasseri, Dr Milena Tsvetkova, Dr Ruth Olimpia García Gavilanes, Professor Eric T. Meyer, Bill Mulligan
In this project we evaluate Human-Machine Networks by focusing on two cases of peer-production in Wikipedia and citizen science projects in Zooniverse by applying quantitative methods to transactional big data.
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Semantic Map of Sexism: Topic Modelling of the Everyday Sexism Content
Participants: Dr Kathryn Eccles, Dr Taha Yasseri, Sophie Melville
In this project we take a Natural Language Processing approach to analyse the content of reports submitted to the Everyday Sexism project.
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Online Learning in the Crowd: Examining “Content Overload” in MOOC Forums
Participants: Professor Rebecca Eynon, Dr Isis Hjorth, Dr Taha Yasseri, Nabeel Gillani
This project examines the extent to which social learning can be supported in the large online crowds of MOOCs.
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Gorongosa Webcam
Participants: Dr Taha Yasseri, Dr Ruth Olimpia García Gavilanes, Dr Milena Tsvetkova, Professor Chris Lintott, Dr Ali Swanson
The aim of this project is to conduct research in innovative citizen science, building on existing work by both the Oxford Internet Institute and by the Zooniverse team in the Department of Physics.
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Collective Memory in the Digital Age: Understanding “Forgetting” on the Internet
Participants: Dr Taha Yasseri, Dr Ruth Olimpia García Gavilanes, Dr Milena Tsvetkova
"The Internet doesn't forget", but people do. Internet has had strong impacts on memory and the processes of remembering and forgetting. In this project we use data collected from the web to quantitatively study how people remember and forget past events.
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Big data and election prediction: analysing online information seeking during the European Parliament elections
Participants: Dr Taha Yasseri, Dr Jonathan Bright, Eve Ahearn
This project investigates the extent to which the characteristics of different political systems (for example, the number of major political parties) affect patterns of online information seeking behaviour which take place during election time.
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Conceptualising interaction and learning in MOOCs
Participants: Professor Rebecca Eynon, Dr Chris Davies, Dr Isis Hjorth, Dr Taha Yasseri, Nabeel Gillani
The overarching goal of this project is to propose a typology that describes the nature of learner interactions in MOOCs that develops our understanding of how learning takes place in such settings.
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Taxonomy and Ecology of Contributions to Zooniverse, the Citizen Science Project
Participants: Dr Taha Yasseri, Khairunnisa Haji Ibrahim
This project will investigate the patterns of contributions to the citizen science project “Zooniverse” relying on large scale statistical analysis of the transactional activity data of the users.
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The Internet, Political Science and Public Policy: Re-examining Collective Action, Governance and Citizen-Government Interactions in the Digital Era
Participants: Professor Helen Margetts, Dr Scott A. Hale, Tom Nicholls, Dr Taha Yasseri
This research programme aims to assess where political science understanding, knowledge and theory should be re-examined and developed in light of widespread use of the Internet, and to develop methodologies to study online behaviour.
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Big Data: Demonstrating the Value of the UK Web Domain Dataset for Social Science Research
Participants: Professor Helen Margetts, Professor Eric T. Meyer, Dr Sandra Gonzalez-Bailon, Dr Scott A. Hale, Tom Nicholls, Dr Taha Yasseri, Dr Jonathan Bright
This project aims to enhance JISC's UK Web Domain archive, a 30 TB archive of the .uk country-code top level domain collected from 1996 to 2010. It will extract link graphs from the data and disseminate social science research using the collection.
Teaching
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Digital Social Research: Methods Core
This course provides students with the opportunity to engage with the methodological, ethical and philosophical underpinnings of quantitative and qualitative social science research practices.
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Online Social Networks
An introduction to the analysis of online social networks, providing students with the tools necessary to undertake research on online networks, and to give an overview of the type of questions that these data can answer.
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Research Design for Social Data Science
This course introduces students to conceptual and methodological aspects of social science research methods, including both quantitative and qualitative methods.
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Simulating Society
This course is about agent-based modelling, a fascinating technique for answering social science questions, based on computer simulation of real-world societies and real-world human events.
Videos
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The Internet and your inner English tea merchant
Recorded: 8 July 2019
Duration: 12:33:00
The Internet is a totally internet phenomenon. In this talk, Dr Taha Yasseri gives answers to burning internet questions. https://www.youtube.com/watch?v=L1QuW-NlH9A&t=1s
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At the Crossroads: Lessons and Challenges in Computational Social Science
Recorded: 2 May 2017
Duration: 00:00:55
Dr Taha Yasseri introduces an edited volume that he has co-edited on "Computational Social Science".
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What Happens After You Both Swipe Right: A Statistical Description of Mobile Dating Communications
Recorded: 18 October 2016
Duration: 00:27:18
Our personal and social daily activities produce an unprecedented amount of data: Taha Yasseri is interested in developing mechanistic models to explain not just causality but also quantitative prediction.
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Big Data Analytics: OII MSc Methods Option Course
Recorded: 13 October 2016
Duration: 00:02:15
Big data, the real time streams of transactional records of our daily activities, hold major promise for (computational) social science.
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Social Aspects of Collaborative Editing on Wikipedia: Revenge, Conflict, and War
Recorded: 15 January 2016
Duration: 00:16:16
Presentation on Taha Yasseri's Wikipedia research, on the occasion of Wikipedia's 15th Birthday.
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Taha Yasseri discusses the book: Political Turbulence
Recorded: 6 January 2016
Duration: 00:05:01
Taha Yasseri appears on TRT Showcase to discuss his new book: Political Turbulence, coauthored with Helen Margetts, Peter John, and Scott Hale.
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Online Social Networks: OII MSc Option Course
Recorded: 12 June 2015
Duration: 00:01:38
This option course for the OII MSc in "Social Science of the Internet" introduces social network analysis with particular emphasis on research design, data collection and analysis.
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Armies in the lab: Studying conflicts and opinion clashes in Wikipedia
Recorded: 1 June 2014
Duration: 00:25:09
Taha Yasseri's talk at Europe's first Computational Social Science conference at the University of Warwick in June 2014, hosted by the Data Science Lab at Warwick Business School.
News
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People more likely to listen to a band if a friend goes to a concert, but only if the band is well-established, finds new Oxford study
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.
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Online dating: ‘dating capacity’ of single Brits revealed in new study
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’.
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New study reveals changing trends in online dating
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
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Emo, love and god: Researchers conduct first systematic study of Urban Dictionary
2 May 2018
Researchers at The Alan Turing Institute (including members of the Oxford Internet Institute) have conducted the first systematic study of Urban Dictionary (UD), the informal, crowd-sourced online dictionary best known for slang and niche definitions.
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Political Turbulence: How Social Media Shape Collective Action awarded the Political Studies Association book prize
5 December 2017
Professor Helen Margetts, Professor Peter John, Dr Scott Hale, and Dr Taha Yasseri have won the W. J. M. Mackenzie Book Prize at the Political Studies Association (PSA)’s Annual Awards in Westminster on 5 December 2017.
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Wikipedia articles on plane crashes show what we remember
11 April 2017
Oxford Internet Institutes researchers have tracked how recent aircraft incidents or accidents trigger past events and the factors making some consistently more memorable than others.
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Computer bots are more like humans than you might think, having fights lasting years
24 February 2017
Researchers say ‘benevolent bots’, otherwise known as software robots, that are designed to improve articles on Wikipedia sometimes have online ‘fights’ over content that can continue for years.
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Public interest in plane crashes only predicted ‘if death toll is 50 or higher’
14 October 2016
English Wikipedia continues to be shaped by things that matter to Westerners, with little reference to the rest of the world outside of North America and Europe.
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Doing the math ‘predicts’ which movies will be box office hits
22 August 2013
A mathematical model devised by OII researcher Taha Yasseri and his colleagues has proven to be very effective in predicting the box office success of newly-released films by using an analysis of Wikipedia activity.
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Mathematical model ‘describes’ how online conflicts are resolved
20 February 2013
Researchers have produced a mathematical model to describe how conflicting opinions are resolved over articles that appear on Wikipedia, the collaboratively-edited encyclopaedia.
Events
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Parli: building an encyclopaedia of opinion
3 December 2019
The Oxford Internet Institute is delighted to welcome Turi Munthe, media entrepreneur and investor, and founder of Demotix.
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Everyday Sexism Datahack
24 November 2016
A Creative Exploration of the Sexism We Experience in Our Daily Lives
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Book Launch: Political Turbulence: How Social Media Shape Collective Action
27 January 2016
Drawing on large-scale data generated from the Internet and real-world events, this book shows how mobilizations that succeed are unpredictable, unstable, and often unsustainable.
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Wikipedia 15th Birthday Editathon: The Social Internet
15 January 2016
On Friday 15 January 2016 Wikipedia will celebrate its fifteenth birthday and we are celebrating by having a Wikipedia editathon!
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Combining big data and small data to understand crowdbased learning: A pragmatic approach
27 November 2015
The OxCrowd project examines the extent to which social learning can be supported in the large online crowds of MOOCs.
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CCS’15 Satellite Workshop on Computational Social Science
1 October 2015
Please take a look at the CCS'15 Satellite Workshop on Computational Social Science which Taha Yasseri is co-organizing.
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#FAIL! Things that didn’t work out in social media research – and what we can learn from them
29 June 2015
Please see the workshop website for details.
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Lessons And Challenges In Computational Social Science
2 June 2015
Please see the workshop website for details.
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Computational Social Science: From Social Contagion to Collective Behaviour (ECCS ’13)
19 September 2013
This satellite meeting of the ECCS conference will address the question of ICT-mediated social phenomena emerging in multiple scales ranging from the interactions of individuals to the emergence of self-organized global movements.
Blog
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How social media echo chambers emerge (and why all your friends think Trump will lose)
23 October 2020
Authors: Christian Blex
The ongoing Covid-19 crisis has moved more of our interactions online than ever before. Yet in the current political climate the perils of social ...
Read More How social media echo chambers emerge (and why all your friends think Trump will lose) -
Introducing the 2019 MSc Thesis Prize Winners
21 November 2019
Author: Sara Spinks
Congratulations to all our winners of the 2019 OII MSC thesis prize. It gives us great pleasure to announce the winners of the 2019 ...
Read More Introducing the 2019 MSc Thesis Prize Winners -
Never mind killer robots – even the good ones are scarily unpredictable
30 August 2017
Authors: Taha Yasseri
The heads of more than 100 of the world’s top artificial intelligence companies are very alarmed about the development of “killer robots”. In an ...
Read More Never mind killer robots – even the good ones are scarily unpredictable -
Our knowledge of how automated agents interact is rather poor (and that could be a problem)
14 June 2017
Author: Taha Yasseri
Wikipedia uses editing bots to clean articles: but what happens when their interactions go bad? Image of “Nomade”, a sculpture in downtown Des ...
Read More Our knowledge of how automated agents interact is rather poor (and that could be a problem) -
Collective Memory in the Digital Age
9 April 2017
Author: Taha Yasseri
We finished our project on Collective Memory in the Digital Age: Understanding “Forgetting” on the Internet last summer, but our last paper just came out on Science Advances last ...
Read More Collective Memory in the Digital Age -
HUMANE Workshop, Wrap-up
2 April 2017
Author: Taha Yasseri
On 21st of March, we hold the HUMANE Intentional Workshop in Oxford. We had some 50+ participants from across different sectors; academia, industry, and public sectors, ...
Read More HUMANE Workshop, Wrap-up -
The interplay between extremism and communication in a collaborative project
30 March 2017
Author: Taha Yasseri
Collaboration is among the most fundamental social behaviours. The Internet and particularly the Web have been originally developed to foster large scale collaboration among ...
Read More The interplay between extremism and communication in a collaborative project -
Using Twitter data to study politics? Fine, but be careful!
18 March 2017
Author: Taha Yasseri
The role of social media in shaping the new politics is undeniable. Therefore the volume of research on this topic, relying on the data ...
Read More Using Twitter data to study politics? Fine, but be careful! -
Machine agency and the future of work
14 March 2017
Author: Taha Yasseri
The introduction of new technology causes concern for the future of work. What is the role of humans in a work life in which ...
Read More Machine agency and the future of work -
Even good bots fight and a typology of Internet bots
26 February 2017
Author: Taha Yasseri
Our new paper titled “Even good bots fight: The case of Wikipedia” has finally appeared on PLOS One. There are two things that I ...
Read More Even good bots fight and a typology of Internet bots -
Help us improve the HUMANE roadmaps on Sharing Economy, eHealth, and Citizens’ Participation!
27 January 2017
Author: Taha Yasseri
The HUMANE project is building roadmaps that can help guide future policies in specific social domains such as Sharing Economy, eHealth, and Citizens’ Participation. The ...
Read More Help us improve the HUMANE roadmaps on Sharing Economy, eHealth, and Citizens’ Participation! -
The OII Colloquia
25 January 2017
Author: Taha Yasseri
I am very happy to announce our new series of seminars at the Oxford Internet Institute (OII), called “The OII Colloquia (TOC)“. The OII Colloquia ...
Read More The OII Colloquia -
Cyberbullying: no place to hide
24 January 2017
Author: Taha Yasseri
In an excellent cross-cultural study on Wikipedia edit/revert behaviours [1], Tsvetkova and her colleagues argue among other things for a mediating effect of culture in ...
Read More Cyberbullying: no place to hide -
HUMANE Roadmapping Process
16 January 2017
Author: Taha Yasseri
In the course of the HUMANE project, we examine a sample of social domains, where human-machine interaction is expected to be significant in the ...
Read More HUMANE Roadmapping Process -
Sensitive data, cognitive resource and my community: extending the Tie Strength dimension
20 December 2016
Author: Taha Yasseri
Are users always worried about their data? One consequence of the Wanless report is a need for more distributed healthcare. This means that an ...
Read More Sensitive data, cognitive resource and my community: extending the Tie Strength dimension -
GDPR: the right to be forgotten
15 December 2016
Author: Taha Yasseri
What does HUMANE profiling tell us about data protection? Back in 1995, the European Parliament issued the Directive for data protection, which by 1998 ...
Read More GDPR: the right to be forgotten -
Can we predict electoral outcomes from Wikipedia traffic?
6 December 2016
Author: Taha Yasseri
2016 presidential candidate Donald Trump in a residential backyard near Jordan Creek Parkway and Cody Drive in West Des Moines, Iowa, with lights and ...
Read More Can we predict electoral outcomes from Wikipedia traffic? -
New eBook: Computational Social Science
4 December 2016
Author: Taha Yasseri
I am very happy to see that our eBook titled “At the Crossroads: Lessons and Challenges in Computational Social Science” is finally out, and ...
Read More New eBook: Computational Social Science -
Edit wars! Examining networks of negative social interaction
4 November 2016
Author: Taha Yasseri
Network of all reverts done in the English language Wikipedia within one day (January 15, 2010). Read the full article for details. While network ...
Read More Edit wars! Examining networks of negative social interaction -
Biases in Online Attention; Whose life matters more
2 November 2016
Author: Taha Yasseri
This has become a common knowledge that certain lives matter more, when it comes to media coverage and public attention to natural or manmade disasters. ...
Read More Biases in Online Attention; Whose life matters more -
Understanding voters’ information seeking behaiviour
20 June 2016
Author: Taha Yasseri
Jonathan and I recently published a paper titled “Wikipedia traffic data and electoral prediction: towards theoretically informed models“ in EPJ Data Science. In this ...
Read More Understanding voters’ information seeking behaiviour -
First year of HUMANE
12 April 2016
Author: Taha Yasseri
1st of April marks the anniversary of the start of our project!In this post we give a short recap of our activities in HUMANE ...
Read More First year of HUMANE -
P-values are widely used in the social sciences, but often misunderstood: and that’s a problem.
7 March 2016
Author: Taha Yasseri
P-values are widely used in the social sciences, especially ‘big data’ studies, to calculate statistical significance. Yet they are widely criticized for being easily hacked, ...
Read More P-values are widely used in the social sciences, but often misunderstood: and that’s a problem. -
Topic modelling content from the “Everyday Sexism” project: what’s it all about?
3 March 2016
Author: Taha Yasseri
We recently announced the start of an exciting new research project that will involve the use of topic modelling in understanding the patterns in submitted stories to the Everyday ...
Read More Topic modelling content from the “Everyday Sexism” project: what’s it all about? -
Science: “Important series of creatively and rigorously researched insights”
1 March 2016
Author: Taha Yasseri
Arnout van de Rijt reviewed Political Turbulence in Science Magazine. The review, entitled “The social revolution,” states that the book … contributes an important ...
Read More Science: “Important series of creatively and rigorously researched insights” -
P-values: misunderstood and misused
5 February 2016
Author: Taha Yasseri
Since I launched this blog, I always wanted to write something about the dangers of big data! Things that can go wrong easily when ...
Read More P-values: misunderstood and misused -
Book Launch at the OII
26 January 2016
Author: Taha Yasseri
A book launch party will be held on Wednesday 27 January at 17:00 at the Oxford Internet Institute. The launch will start with a brief ...
Read More Book Launch at the OII -
Computational social science: A new social physics
26 October 2015
Author: Taha Yasseri
Taha Yasseri is talking about how the data from digital technology we use everyday can be used in Computational Social Science. This talk is ...
Read More Computational social science: A new social physics -
The role of “others” in social media activism
21 October 2015
Author: Taha Yasseri
Taha Yasseri is talking about online activism at the Royal Academy of Arts’ programme Digital (Dis)connections: Ai Weiwei Late on Saturday 24th October. Here is ...
Read More The role of “others” in social media activism -
Creating a semantic map of sexism worldwide: topic modelling of content from the “Everyday Sexism” project
7 October 2015
Author: Taha Yasseri
The Everyday Sexism Project catalogues instances of sexism experienced by women on a day to day basis. We will be using computational techniques to extract ...
Read More Creating a semantic map of sexism worldwide: topic modelling of content from the “Everyday Sexism” project -
Wikipedia readership around the UK general election
4 May 2015
Author: Taha Yasseri
I already have written about the Wikipedia-Shapps story. So, that is not the main topic of this post! But when that topic was still hot, some ...
Read More Wikipedia readership around the UK general election -
Does anyone read Wikipedia around the election time?
4 May 2015
Author: Taha Yasseri
I already have written about the Wikipedia-Shapps story. So, that is not the main topic of this post! But when that topic was still hot, some ...
Read More Does anyone read Wikipedia around the election time? -
Elections and Social Media Presence of the Candidates
3 May 2015
Author: Taha Yasseri
Some have called the forthcoming UK general election a Social Media Election. It might be a bit of exaggeration, but there is no doubt that both ...
Read More Elections and Social Media Presence of the Candidates -
Online presence of the General Election Candidates: Labour wins Twitter while Tories take Wikipedia
3 May 2015
Author: Taha Yasseri
Some have called the forthcoming UK general election a Social Media Election. It might be a bit of exaggeration, but there is no doubt that both ...
Read More Online presence of the General Election Candidates: Labour wins Twitter while Tories take Wikipedia -
When and Where is Citizen Science happening?
24 April 2015
Author: Taha Yasseri
Citizen Science is research undertaken by professional scientists and members of the public collaboratively. The best example of it is Zooniverse. Since it first launched ...
Read More When and Where is Citizen Science happening? -
Wikipedia and Shapps: Sockpuppetry, Conflict of Interest, or None?
23 April 2015
Author: Taha Yasseri
Will the real Grant Shapps please stand up? ViciousCritic/Totally Socks, (CC BY-NC-SA) You must have heard about the recent accusation of Grant Shapps by ...
Read More Wikipedia and Shapps: Sockpuppetry, Conflict of Interest, or None? -
Paper: Modeling the Rise in Internet-based Petitions
14 August 2014
Author: Taha Yasseri
See a pre-print version of our paper entitled “Modeling the Rise in Internet-based Petitions” here. The paper’s abstract reads: Contemporary collective action, much of ...
Read More Paper: Modeling the Rise in Internet-based Petitions -
Media effect or media replacement?
22 April 2014
Author: Taha Yasseri
by Jonathan Bright and Taha Yasseri. Online political information seeking, at least in the data we’ve gathered so far, happens in short, concentrated bursts. When we ...
Read More Media effect or media replacement? -
Outliers on the electoral information cycle
11 April 2014
Author: Taha Yasseri
by Jonathan Bright and Taha Yasseri. In the last post we looked at patterns of access to the Wikipedia article on the European Parliament election, 2009 identified an electoral information cycle ...
Read More Outliers on the electoral information cycle -
Edit wars! Measuring and mapping society’s most controversial topics
3 December 2013
Author: Taha Yasseri
Wikipedia is more than just an encyclopaedia; it is also a window into convergent and divergent social-spatial priorities, interests and preferences: aka Edit Wars. ...
Read More Edit wars! Measuring and mapping society’s most controversial topics -
The physics of social science: using big data for real-time predictive modelling
21 November 2013
Author: Taha Yasseri
Use of socially generated “big data” on collective states of minds in human societies has become a new paradigm in the emerging field of ...
Read More The physics of social science: using big data for real-time predictive modelling -
Breaking news in a connected world
30 June 2013
Author: Taha Yasseri
The bitterness of the tragedy is the same, what has changed is the way that information spreads. I heard about the Boston Marathon Bombing, first when ...
Read More Breaking news in a connected world -
How much Wikipedia could tell us about elections
14 June 2013
Author: Taha Yasseri
IMPORTANT NOTE: this post does not aim at predicting the results of any election. This is just a report on some publicly available data and does ...
Read More How much Wikipedia could tell us about elections -
Wikipedia; modern platform, ancient debates on Land and Gods
27 May 2013
Author: Taha Yasseri
What are the most controversial topics in Wikipedia? What articles have been subject to edit wars more than others? We now have a tool ...
Read More Wikipedia; modern platform, ancient debates on Land and Gods -
What can Wikipedia tell us about the Cannes Festival just before the closing
26 May 2013
Author: Taha Yasseri
Among all the interesting events taking place today, one is the Closing Ceremony of 2013 Cannes Film Festival. If you already have seen our ...
Read More What can Wikipedia tell us about the Cannes Festival just before the closing -
The coverage of a tragedy
17 December 2012
Author: Taha Yasseri
“The Newtown School shooting is a school shooting that occurred on December 14, 2012 in Newtown, Connecticut, Connecticut. 24 persons are reported to have ...
Read More The coverage of a tragedy
Press
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A more guided visit – how to reopen museums and galleries safely
1 July 2020 The Conversation
Museums and galleries in the UK are opening their doors to the public in July. But reopening will be conditional on their ability to implement safety measures.
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How The Internet Will Change Our Coronavirus Memories
29 June 2020 Inverse
"We can see through Wikipedia the evolution of our understanding of this disease.”
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Dominic Cummings: how the internet knows when you’ve updated your blog after the fact
28 May 2020 The Conversation
An archive of webpages shows Dominic Cummings's blog was edited in April 2020 to include content about the possible threat of coronaviruses. Contrary to his claim he wrote about it last year.
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Feeling overwhelmed? Top tips for staying positive online during the coronavirus crisis
19 March 2020 CNN World
Overwhelmed? Take back control when it comes to using the internet.
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Facebook owns the four most downloaded apps of the decade
18 December 2019 BBC News
The four most downloaded apps of the decade are all owned by Facebook, according to app tracker App Annie.
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FEED talks to Dr Taha Yasseri from the Oxford Internet Institute about the influencer economy and how ‘group think’ affects us more than we like to admit
4 November 2019 Feed magazine
Dr Taha Yasseri, Oxford Internet Institute “We can have value judgement only when we are completely isolated from social information”
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For the good of humanity, AI needs to know when it’s incompetent
15 June 2019 Wired
We've successfully trained machine learning and artificial intelligence to make decisions. Now we need it to understand what the right choices are.
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The counterintuitive evolution of online courtship behavior
5 October 2018 MIT Technology Review
Everyone hoped that online dating would level the playing field for men and women looking for partners. But instead, the latest data-mining study suggests it has become more asymmetric than ever.
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Don’t try too hard with the selfies – average looking men do better on dating sites
27 September 2018 The Telegraph
Data from the Oxford Internet Institute shows that men who rate themselves as 5/10 receive more messages than men who give themselves a 10/10 rating.
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Internet daters have become more tolerant and open in the last decade
27 September 2018 iNews
Researchers from the Oxford Internet Institute (OII) tracked the changing preferences and communication preferences of UK users of dating site eharmony over the 10 years since it launched.
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If you’re NOT a Perfect 10 it helps you win online dates: Men should use an ‘average’ picture in their profile and women SHOULDN’T make the first move, study finds
27 September 2018 Daily Mail
Experts from the University of Oxford analysed eHarmony data
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The Anatomy of the Urban Dictionary
3 January 2018 MIT Technology Review
The first large-scale study of the Urban Dictionary provides unique insights into the way our language is evolving.
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Ground-breaking science recognized in major new frontiers research award
1 May 2017 American Academy for the Advancement of Science
Taha Yasseri is an editor of the Frontiers in Physics special issue "At the Crossroads: Lessons and Challenges in Computational Social Science", which is one of ten in the running for the US$100,000 Frontiers Spotlight Award.
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Traffic to Wikipedia articles shows how we remember plane crashes
5 April 2017 The Verge
How long will we remember the Malaysia Airlines plane that disappeared back in 2014? About 45 years, say scientists who used Wikipedia page views to develop a new way of studying our collective memory.
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Research into why we remember some aviation disasters and forget others
5 April 2017 Phys.Org
Oxford University researchers have tracked how recent aircraft incidents or accidents trigger past events and how some are consistently more memorable than others.
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The Spy in Your TV
12 March 2017 BBC World Service
Dr Taha Yasseri of the Oxford Internet Institute discusses his research into how software robots, or bots, that are designed to make articles on Wikipedia better often end up having online fights lasting years over changes in content.
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Tech Tent: Snooping TVs and battling bots
10 March 2017 BBC News
Dr Taha Yasseri and his colleagues at the Oxford Internet Institute have been looking at by studying the behaviour of bots that maintain pages on Wikipedia. It turns out that sometimes they disagree over edits.
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Artificial intelligence runs wild while humans dither
6 March 2017 Financial Times
Research from the Oxford Internet Institute and the Alan Turing Institute has found algorithms are battling with each other, undoing rival edits on Wikipedia. They were surprised by the findings, concluding that we need to pay far more attention to them.
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Editing bots are more like humans
28 February 2017 The Hindu
Software robots designed to improve articles on Wikipedia sometimes have online ‘fights’ over content that can continue for years, say scientists who warn that artificial intelligence systems may behave more like humans than expected.
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Study reveals bot-on-bot editing wars raging on Wikipedia’s pages
24 February 2017 The Guardian
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.
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When bots go bad: how Wikipedia’s helpers ended up locked in conflict
24 February 2017 The Guardian
According to new research from the Oxford Internet Institute, the software robots, or “bots”, which carry out basic housekeeping tasks on Wikipedia articles have “fights” over their pages. The conflicts can go on for years.
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People built AI bots to improve Wikipedia. Then they started squabbling in petty edit wars, sigh
23 February 2017 The Register
An investigation into Wikipedia bots has confirmed the automated editing software can be just as pedantic and petty as humans are – often engaging in online spats that can continue for years.
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Study: Even ‘benevolent bots’ fight, sometimes for years
23 February 2017 UPI
An analysis of bot behavior over the course of a decades shows even "benevolent" bots bicker. In fact, researchers found evidence of bot-versus-bot fights lasting several years.
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Election polling is in trouble. Can internet data save it?
2 February 2017 Science Magazine
Dr Taha Yasser on the problems with election polling and what the internet can do to save it.
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Europe Enters Election Season in the Post-Poll World
18 November 2016 Bloomberg
Taha Yasseri and Jonathan Bright's paper on predicting the outcomes of European Parliament elections using Wikipedia page traffic is quoted in a piece on Europe's upcoming election season.
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Plane crashes: public only interested if toll 50 or higher, study finds
12 October 2016 The Guardian
Researchers at the Oxford Internet Institute examine Wikipedia articles about some 1,500 crashes around the world.
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We care when an airplane crashes. And then we don’t
11 October 2016 Science
OII researchers find that when a crash involves fewer than 50 deaths, Wikipedia readers tended to pay relatively little attention.
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The Wikipedia bots that are engaged in spats that never end
21 September 2016 New Scientist
Wikipedia editors sometimes use bots to help them keep on top of changes that users have made to the online encyclopedia. But sometimes two editors will task different bots with making incompatible edits.
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Bots are waging passive-aggressive war on Wikipedia
21 September 2016 TechCrunch
Bots are a useful tool on Wikipedia: they identify and undo vandalism, add links and perform other tedious tasks. But even these automated helpers come into conflict, reverting and re-reverting each other on the same topic, sometimes for years.
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Indefatigable WikiBots keep Wikipedia battles going long after humans give up and go home
21 September 2016 The Register
A group of researchers from Oxford University and the Alan Turing Institute in London say once Wikipedia bots get into a disagreement, they spend years reverting each others' edits.
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The Growing Problem of Bots That Fight Online
20 September 2016 MIT Technology Review
The way software agents interact on the Web is poorly understood. Now evidence shows that they fight each other for years.
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Trash talk: how Twitter is shaping the new politics
31 July 2016 The Observer
The OII's Taha Yasseri says the evidence shows tweets using “very extreme words either positively or negatively” are more likely to be shared and thus to lodge a politician’s name in potential voters’ heads.
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Why Tinder is making women MISERABLE: Men swipe right for an ego boost with no intention of speaking to matches
27 July 2016 Mail Online
Report of a study led by Jennie Zhang from Oxford University, which looked at the conversations people had after they matched, using about 2 million conversations involving 400,000 heterosexual users of an unknown dating site, all from the US.
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Why everyone is miserable on Tinder
26 July 2016 The Washington Post
Jennie Zhang and Taha Yasseri collected about 2 million dating site conversations involving 400,000 heterosexual users from the United States. The results were bleak. About half of the conversations were completely one-sided.
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Dating Apps Are Basically Pointless, Says New Study
25 July 2016 The Huffington Post
Taha Yasseri and Jennie Zhang from the Oxford Internet Institute have led a research study which analyzed behavior and responses that would come from some of the most popular mobile dating apps.
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Study Reveals ‘Sad’ Reality Of Online Dating Apps
22 July 2016 GlobalDatingInsights.com
A new study claims to have revealed the “sad” reality of online dating – that only a small percentage of messages on dating apps actually get a reply.
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Research Confirms Dating Apps Are a Sad Game
15 July 2016 Motherboard
Work by Taha Yasseri and Jennie Zhang paints a pretty bleak picture of the modern dating scene, as mediated by algorithm-driven apps, but there is hope.
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The Strange Way Aircraft Crashes Attract Human Attention on the Web
7 July 2016 MIT Technology Review
What determines the level of coverage that news events receive on the Web? Traffic to Wikipedia pages about aircraft crashes varies in unexpected ways, say Ruth García-Gavilanes, Milena Tsvetkova, and Taha Yasseri.
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How are social media changing democracy?
28 March 2016 The Economist
The Economist explains the role of social media in political campaigning and draws heavily on the work of Helen Margetts and others in recently published 'Political Turbulence'
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A new kind of weather
26 March 2016 The Economist
Examining collective action and the role of social media, the Economist draws on the work of Helen Margetts and colleagues in recently published 'Political Turbulence'
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The Social revolution
26 February 2016 Science
Review of ‘Political Turbulence’ by Helen Margetts, Peter John, Taha Yasseri and Scott Hale. It ‘contributes an important series of creatively and rigorously researched insights into the social mechanics of Internet-based collective action’
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Review: ‘Political Turbulence: how social media shape collective action’
17 February 2016 openDemocracy UK
Stuart Weir extensively reviews recently published ' Political Turbulence' which he describes as revelatory. He also highlights the multi-disciplinary nature of OII research.
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How to win an online argument. lessons from Reddit
16 February 2016 Sydney Morning Herald
Taha Yasseri points out that the internet is mostly a self-organised and bottom-up system but that does not imply it is democratic or horizontal
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How to win a Facebook argument, according to science
10 February 2016 The Columbus Dispatch
Taha Yasseri points out that the internet is mostly a self-organised and bottom-up system but that does not imply it is democratic or horizontal.
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Focus: Wikipedia Articles Separate into Four Categories
22 January 2016 Physics
Taha Yasseri comments on research looking at the entire edit history of English Wikipedia to determine patterns and order. The model used implies editing inequality is increasing he says
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Political Turbulence: How Social Media Shape Collective Action, by Helen Margetts, Peter John, Scott Hale and Taha Yasseri
21 January 2016 Times Higher Education
In his review of recently published 'Political Turbulence', by Helen Margetts and colleagues, Ivor Gabor says that organising and agitating online can be a powerful mover of change.
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Will Big Data lead to Big Brother?
17 November 2015 BBC News
A BBC documentary explored ways in which authoritarian regimes use data to monitor their citizens behaviour. Taha Yasseri pointed out that social media offers an easy way for surveillance and even prediction of behaviour.
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Can Google predict who will win the election?
16 October 2015 Maclean's
In an article about predicting election results the major Canadian news magazine quotes a research study by Taha Yasseri and Jonathan Bright on whether electoral popularity can be predicted using socially generated big data.
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These Computer Scientists Are Making a ‘Global Map of Sexism’
9 October 2015 VICE Motherboard
In an innovative project, physicist Taha Yasser and fellow OII humanities based researchers are using data from the Every Day Sexism project to produce the first data-driven map charting global sexism
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Using Wikipedia as PR is a problem, but our lack of a critical eye is worse
4 September 2015 The Conversation
Taha Yasseri argues that Wikipedia readers need to take a critical view of Wikipedia being aware of inherent biases, self-editing and promotion and different standpoints of writers from different nations.
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The Digital Language Divide
29 May 2015 The Guardian
A Digital Guardian article which explores in depth the effects of language on internet use draws heavily on work done by OII researchers.
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Wikipedia sockpuppetry: linking accounts to real people is pure speculation
23 April 2015 The Conversation
Taha Yasseri explains the background issues relating to accusations that Grant Shapps, Conservative party chairman edited Wikipedia pages relating to himself and to party rivals.
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How Big Data Will Change Our Lives and Our Understanding of Them
16 May 2014 dataeconomy
Taha Yasseri takes the optimistic view that Big Data techniques used in computation social sciences will create 'self-aware' societies in the future which will be better places to belong to.
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The geeks who are directing Hollywood
2 January 2014 Daily Telegraph
In the run-up to the Oscar awards, Taha Yasseri and his work on a big data approach to predicting box-office success is featured in the Daily Telegraph.
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Wikipedia Entries On Professors Mean Nothing, Study Finds
8 November 2013 Huffington Post
A study co-authored by Taha Yasseri reveals that Wikipedia is no more likely to cite prominent researchers than other, less influential sources.
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Does Your Professor Have a Wikipedia Entry? Congrats! It Means Nothing
7 November 2013 The Atlantic
Just because an academic has a Wikipedia page doesn’t mean he or she is either productive or prolific in their field. In other words, according to a study co-authored by Taha Yasseri, it has no real significance.
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First day ‘is crucial for success of e-petitions’
4 September 2013 BBC News, Politics
Nearly all e-petitions are doomed to become 'digital dust' say Helen Margetts and colleagues whose work on 'Big Data and Collective Action' is featured in an in-depth article on BBC News online.
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Predicting Blockbusters With Wikipedia, New Research May Predict If A Movie Will Flop Or Be A Hit
24 August 2013 International Business Times
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data
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Scientists devise model to predict success of films
23 August 2013 Times of India
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Edit wars
5 August 2013 The Economist
The Economist Graphic Detail column highlights the work of Taha Yasseri and colleagues on Wikipedia’s so-called ‘edit wars’, the most contested subjects which Wikipedia’s editors edit or ‘revert’ the most.
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Bei Wikipedia toben Kriege um kontroverse Artikel
1 August 2013 Das Kulturradio
'Wikipedia Wars rage around controversial articles.Berlin’s public radio interviews Taha Yasseri about the work that he has done on contested topics on Wikipedia
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Wiki wars: The 10 most controversial Wikipedia pages
24 July 2013 CNN
An article on the most controversial topics in Wikipedia as revealed in research by Taha Yasseri and colleagues George Bush and anarchism are the most hotly contested in the English language edition.
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Bush, Anarchism and Muhammad: The most fought-over Wikipedia articles revealed
19 July 2013 The Independent
An article on the most controversial topics in Wikipedia as revealed in research by Taha Yasseri and colleagues George Bush and anarchism are the most hotly contested in the English language edition.
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George W. Bush, Gypsies, and Jesus: Wikipedia’s most controversial articles
19 July 2013 NBC News technology
An article on the most controversial topics in Wikipedia as revealed in research by Taha Yasseri and colleagues using editor amendment s across 10 different language sites. (also covered elsewhere)
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Turning big data into big insights
16 July 2013 Business Technology, Daily Telegraph
An article about the implications of big data quotes Taha Yasseri who believes that as big data analysis develops into a science, professionals will have to consider the ethical issues in the same way as other disciplines.
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Data Privacy: Time for better safeguards against data abuses?
16 July 2013 Business Technology, Daily Telegraph
Taha Yasseri comments on the issues of personal privacy raised by increasing data gathering
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Topics that spark Wikipedia ‘edit wars’ revealed
16 July 2013 BBC News Technology
An article on the most controversial topics in Wikipedia as revealed in research by Taha Yasseri and colleagues. George Bush and anarchism are the most hotly contested in the English language edition.
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Blockbuster-Prognose mit Wikipedia
13 June 2013 Deutschlandfunk
Forecasting Blockbuster with Wikipedia. Taha Yasseri,the OII’s Big Data Research Officer interviewed on national German Radio about his work and how Wikipedia can be used to predict which films will become blockbusters.
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Wikipedia’s most controversial pages include Jesus and George W. Bush
5 June 2013 Toronto Star
Work by Taha Yasseri and colleagues on 10 different language Wikipedia sites showed that Jesus was the one controversial subject, as measured by editor amendments that came across the board. Politics and religion still trigger the biggest arguments
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Wikipedians most likely to war over ‘Israel,’ ‘God’
3 June 2013 The Times of Israel
Reporting Taha Yasseri’s work the Times of Israel notes that in Hebrew Wikipedia the greatest divisions are mainly about religious sects and armed conflicts but across the languages ‘Israel ‘ and ‘Hitler’ are the most contested subjects.
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Chile, el tema más controvertido de Wikipedia en espaňol
3 June 2013 BBC Mundo
The most controversial topics in Spanish Wikipedia, identified by Taha Yasseri and Mark Graham are highlighted on the BBC’s Spanish language web site.
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Wikipedia ‘Edit Wars’: The most hotly contested topics
31 May 2013 Live Science
Taha Yasseri says Wikipedia suffers from traditional features of human societies. People argue most on Wikipedia about religion and politics with variations on non-English language sites. Romanians for example argue most about musicians and art.
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The Most Controversial Article in all of English Wikipedia is George Bush’s
31 May 2013 The Huffington Post
The Huffington Post says that the study of controversial topics in Wikipedia by Taha Yasseri and Mark Graham contains some ‘incredible graphics’ several of which are displayed.
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The Controversial Topics of Wikipedia
30 May 2013 Wired Science Blog
Wired magazine article sets out some of the findings of Taha Yasseri, mark Graham and colleagues’ work on contested subjects in Wikipedia. The table of the most controversial articles in each language edition is featured.
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Every Wikipedia flame war in 1 impressive map
29 May 2013 The Daily Dot
Online community newspaper The Daily Dot features the Wikipedia Conflict Map created by Taha Yasseri, Mark Graham and others which highlights areas of controversy among Wikipedia contributors and editors.
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Wikipedia: Über Israel und Hitler streitet man überall
28 May 2013 Zeit Online
On Wikipedia people everywhere argue about Israel as well as Hitler. Die Zeit blog explores the discussions of contentious issues on Wikipedia drawing heavily on the research of Taha Yasseri and Mark Graham.
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OPINIÓN: El acceso generalizado a internet, ¿es una meta alcanzable?
17 May 2013 CNN Mexico
Is widespread access to the Internet and achievable goal? Mark Graham’s work is referenced in the Spanish language site, noting the US, Canada and Europe account for 84 per cent of the articles in Wikipedia.
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Gütesiegel für Wikipedia
13 May 2013 Technology Review
The German Technology site looks at how academics use Wikipedia in Germany and beyond. It refers to Mark Graham’s work, quoted in ‘The Atlantic’, suggesting that Wikipedia reflects the background of its editors and contributors.
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Why Wikipedia’s Millionth Russian Page Is Worth Celebrating
11 May 2013 Simulacrum
An English language version of an article originally in Russian links to Mark Graham’s work on the origins of Wikipedia articles and notes that diasporas have an important role to play.
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Succes før premieren
22 February 2013 Weekendavisen
On the eve of the Oscar ceremony, Danish paper Weekendavisen interviews Taha Yasseri whose work on Wikipedia can predict the success of films up to a month pre-release.
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James Cannon, BBC Radio Oxford
20 February 2013 BBC Radio Oxford
Dr Taha Yasseri talks to BBC Oxford about how conflicting viewpoints that appear online can be resolved on a collaborative platform like Wikipedia.
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Film Industry to Turn to Wikipedia for Predictive Analytics?
12 November 2012 Datanami
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data
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Wikipedia Can Forsee Box Office Success Ahead of Release, say Researchers
11 November 2012 International Business Times (India)
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Wikipedia Pages Predict Movie Success, Hungarian Scientists Claim
9 November 2012 Huffington Post
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Wikipedia soll Erfolg von Filmen vorhersagen
9 November 2012 Spiegel Online Kultur
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Wikipedia data ‘can predict success of films’
9 November 2012 The Telegraph
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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How Wikipedia can spot a box office smash a month before it is released
9 November 2012 Daily Mail
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Using Wikipedia to predict the box office of a movie
9 November 2012 Forbes
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Un modèle mathématique reposant sur Wikipédia pourrait prévoir les futurs films à succès au box-office
9 November 2012 Huffington Post (France)
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Can Wikipedia predict a box office hit?
9 November 2012 Salon
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Wikipedia buzz predicts blockbuster movies’ takings weeks before release
8 November 2012 The Guardian
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Wikipedia data could be used to predict box office success
7 November 2012 Wired UK
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Now Wikipedia used to predict movie box office revenues
7 November 2012 MIT Technology Review
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data.
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Can Wikipedia predict the future of box office hits?
21 August 2012 Livescience.
Patterns of activity on Wikipedia can predict the opening box office takings of blockbuster movies a month before they are released, according to Taha Yasseri and his colleagues who built the mathematical model to correlate data
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On the Frontlines of Wikipedia’s ‘Editorial Wars’
12 July 2012 Open Science
Three distinct developmental patterns for overall behaviour in 'editorial wars' in Wikipedia are defined in a paper by Taha Yasseri, and discussed in the open-science blog.
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Can Wikipedia teach us about conflict resolution?
25 June 2012 Science 2.0
Part of the openness model of Wikipedia has led to 'edit wars' when anonymous 'editors' disagree with each other. Taha Yasseri's work examining this phenomenon features in Science 2.0.
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Wikipedia: Studie analysiert die Löschkriege der Community
24 June 2012 Gulli
Discussion of the finding of the work of Taha Yasseri on so-called 'edit wars' in Wikipedia.
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Wikipedia Wars: Implications for Building Consensus
24 June 2012 Decoded Science
Blog comment on the work of Taha Yasseri and colleagues examining the behaviour of Wikipedia online editors.
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Las guerras de Wikipedia
21 June 2012 BBC Mundo
The work of Taha Yasseri and colleagues examining the behaviour of Wikipedia online editors features in the BBC World Science.
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Wikipedia es una enciclopedia pacífica
21 June 2012 Tendencias 21
The work of Taha Yasseri and colleagues about online conflicts is featured under the headline 'Wikipedia is a peaceful encyclopaedia'.
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Bush, Linux, Jesús y el anarquismo, los más conflictivos de la Wikipedia
20 June 2012 Sinc
Feature on the work of Taha Yasseri and colleagues about online conflicts.
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Wikipedia is editorial warzone says study
4 June 2012 NBC News
The work of Taha Yasseri and colleagues about online conflicts is featured by NBC News.
Integrity Statement
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.