Taha Yasseri has interests in analysis of Big Data to understand human dynamics, government-society interactions, mass collaboration, and opinion dynamics.

email: taha.yasseri@oii.ox.ac.uk

tel: +44 (0)1865 287229

Taha Yasseri is a Research Fellow in Computational Social Science at the OII, a Faculty Fellow at the Alan Turing Institute for Data Science, and Research Fellow in Humanities and Social Sciences at Wolfson College, University of Oxford.

Taha Yasseri (left), post-doctoral project researchers Ruth Garcia and Milena Tsvetskova (in front), and supervisees Bertie Vidgen (DPhil), Eli Rachovitsky (MSc), and Judith Data (MSc) (behind).

Dr Yasseri graduated from the Department of Physics at the Sharif University of Technology, Tehran, Iran, in 2005, where he also obtained his MSc in 2006, working on localization in scale free complex networks. In 2007, he moved to the Institute of Theoretical Physics at the University of Göttingen, Germany, where he completed his PhD in Complex Systems Physics in 2010. Prior to coming to Oxford, he spent two years as a Postdoctoral Researcher at the Budapest University of Technology and Economics, working on the socio-physical aspects of the community of Wikipedia editors, focusing on conflict and editorial wars, along with Big Data analysis to understand human dynamics, language complexity, and popularity spread. Dr Yasseri’s main research interest is in human dynamics, social networks, and collective behaviour.

Selected publications

Yasseri, T. and Bright, J. (2015) Predicting elections from online information flows: towards theoretically informed models. Submitted.

Samoilenko, A. and Yasseri, T. (2014) The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics. EPJ Data Science 3 (1). doi:10.1140/epjds20

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.

Hale, S.A., Margetts, H., and Yasseri, T. (2013) Petition growth and success rates on the UK No. 10 Downing Street website. Proceedings of the 5th Annual ACM Web Science Conference, WebSci’13, Paris, France, pp. 132-138.

Yasseri, T., Sumi, R., Rung, A., Kornai, A., and Kertész, J. (2012) Dynamics of conflicts in Wikipedia. PLoS ONE 7(6): e38869.

Areas of Interest for Doctoral Supervision

behaviour, big data, collective action, computational social science, crowdsourcing, political participation, social media, social networks, virtual communities, social network analysis

Research interests

Big data, human dynamics, peer production, Wikis, online societies, conflict and cooperation, opinion formation, language complexity, collective behaviour, social networks, agent-based modelling, urban computing

Positions held at the OII

  • Research Fellow in Computational Social Science, January 2015 –
  • Big Data Research Officer, November 2012 – December 2014

Students supervised at the OII

Current students


Latest blog posts

Current projects

  • Gorongosa Webcam

    Participants: Dr Scott A. Hale, 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.

  • HUMANE: a typology, method and roadmap for HUman-MAchine Networks

    Participants: Professor Eric T. Meyer, Dr Taha Yasseri, Dr Ruth Olimpia García Gavilanes, Dr Milena Tsvetkova

    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.

  • 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.

  • Elections and the Internet

    Participants: Professor Helen Margetts, Dr Scott A. Hale, Dr Taha Yasseri, Dr Jonathan Bright

    This site collects elections research at the OII. We are interested in exploring the extent to which data from the social web can be used to predict interesting social and political phenomena, especially elections.

  • 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.

  • 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.

Past projects

Books

  • Margetts, H., John, P., Hale, S. and Yasseri, T. (2015) Political Turbulence How Social Media Shape Collective Action. Princeton University Press.
  • Margetts, H., John, P., Hale, S. and Yasseri, T. (2015) Political Turbulence How Social Media Shape Collective Action. Princeton University Press.

Chapters

Conference papers

Journal articles

  • Yasseri, T. and Bright, J. (2016) "Wikipedia traffic data and electoral prediction: towards theoretically informed models", EPJ Data Science. 5 (1).
  • García-Gavilanes, R., Mollgaard, A., Tsvetkova, M. and Yasseri, T. (2016) Memory Remains: Understanding Collective Memory in the Digital Age.
  • Rudas, C., Surányi, O., Yasseri, T. and Török, J. (2016) Understanding and coping with extremism in an online collaborative environment.
  • Eynon, R., Hjorth, I., Yasseri, T. and Gillani, N. (2016) Understanding Communication Patterns in MOOCs: Combining Data Mining and qualitative methods.
  • Zhang, J. and Yasseri, T. (2016) What Happens After You Both Swipe Right: A Statistical Description of Mobile Dating Communications.
  • García-Gavilanes, R., Tsvetkova, M. and Yasseri, T. (2016) Dynamics and Biases of Online Attention: The Case of Aircraft Crashes.
  • Yan, P. and Yasseri, T. (2016) Two Roads Diverged: A Semantic Network Analysis of Guanxi on Twitter.
  • Cihon, P. and Yasseri, T. (2016) A Biased Review of Biases in Twitter Studies on Political Collective Action.
  • Vidgen, B. and Yasseri, T. (2016) "P-Values: Misunderstood and Misused", Frontiers in Physics. 4.
  • Tsvetkova, M., García-Gavilanes, R. and Yasseri, T. (2016) Dynamics of Disagreement: Large-Scale Temporal Network Analysis Reveals Negative Interactions in Online Collaboration.
  • Eide, A.W., Pickering, J.B., Yasseri, T., Bravos, G., Følstad, A., Engen, V., Tsvetkova, M., Meyer, E.T., Walland, P. and Lüders, M. (2016) "Human-machine networks: Towards a typology and profiling framework", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9731 11-22.
  • Tsvetkova, M., Yasseri, T., Meyer, E.T., Pickering, J.B., Engen, V., Walland, P., Lüders, M., Følstad, A. and Bravos, G. (2015) Understanding Human-Machine Networks: A Cross-Disciplinary Survey.
  • Nezhadhaghighi, M.G., Movahed, S.M.S., Yasseri, T. and Allaei, S.M.V. (2015) Crossing Statistics of Anisotropic Stochastic Surface.
  • Yasseri, T. and Bright, J. (2015) "Predicting elections from online information flows: towards theoretically informed models.", CoRR. abs/1505.01818.
  • Samoilenko, A. and Yasseri, T. (2014) "The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics", EPJ DATA SCIENCE. 3 (1).
  • Iniguez, G., Toeroek, J., Yasseri, T., Kaski, K. and Kertesz, J. (2014) "Modeling social dynamics in a collaborative environment", EPJ DATA SCIENCE. 3 (1).
  • Hale, S.A., John, P., Margetts, H. and Yasseri, T. (2014) Investigating Political Participation and Social Information Using Big Data and a Natural Experiment.
  • Eynon, R., Hjorth, I., Gillani, N. and Yasseri, T. (2014) ‘Vote Me Up If You Like My Ideas!’ Experiences of Learning in a MOOC.
  • 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.
  • Yasseri, T. and Bright, J. (2014) "Can electoral popularity be predicted using socially generated big data?", it - Information Technology. 56 246-253.
  • Yasseri, T. and Bright, J. (2013) Can electoral popularity be predicted using socially generated big data?.
  • Yasseri, T., Hale, S.A. and Margetts, H. (2013) Modeling the Rise in Internet-based Petitions.
  • Yasseri, T., Spoerri, A., Graham, M. and Kertész, J. (2013) The most controversial topics in Wikipedia: A multilingual and geographical analysis.
  • Yasseri, T. and Kertesz, J. (2013) "Value Production in a Collaborative Environment Sociophysical Studies of Wikipedia", JOURNAL OF STATISTICAL PHYSICS. 151 (3-4) 414-439.
  • Török, J., Iñiguez, G., Yasseri, T., San Miguel, M., Kaski, K. and Kertész, J. (2013) "Opinions, conflicts, and consensus: modeling social dynamics in a collaborative environment.", Phys Rev Lett. 110 (8) 088701.
  • Yasseri, T., Quattrone, G. and Mashhadi, A.J. (2013) "Temporal Analysis of Activity Patterns of Editors in Collaborative Mapping Project of OpenStreetMap", CoRR. abs/1304.2031.
  • 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) e71226.
  • Yasseri, T. and Kertész, J. (2012) "Value production in a collaborative environment", CoRR. abs/1208.5130.
  • Yasseri, T., Sumi, R. and Kertész, J. (2012) "Circadian patterns of Wikipedia editorial activity: a demographic analysis.", PLoS One. 7 (1) e30091.
  • Yasseri, T., Sumi, R., Rung, A., Kornai, A. and Kertész, J. (2012) "Dynamics of conflicts in Wikipedia.", PLoS One. 7 (6) e38869.
  • Yasseri, T., Kornai, A. and Kertész, J. (2012) "A practical approach to language complexity: a Wikipedia case study.", PLoS One. 7 (11) e48386.
  • Sumi, R., Yasseri, T., Rung, A., Kornai, A. and Kertész, J. (2011) "Edit wars in Wikipedia", CoRR. abs/1107.3689.
  • Yasseri, T. and Kree, R. (2010) "A monte carlo study of surface sputtering by dual and rotated ion beams", Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms. 268 (16) 2496-2503.
  • Hartmann, A.K., Kree, R. and Yasseri, T. (2009) "Simulating discrete models of pattern formation by ion beam sputtering.", J Phys Condens Matter. 21 (22) 224015.
  • Kree, R., Yasseri, T. and Hartmann, A.K. (2009) "Surfactant Sputtering: Theory of a new method of surface nanostructuring by ion beams", Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms. 267 (8-9) 1403-1406.
  • Kree, R., Yasseri, T. and Hartmann, A.K. (2009) "The influence of beam divergence on ion-beam induced surface patterns", Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms. 267 (8-9) 1407-1411.

Reports

  • Bright, J.M., Margetts, H., Hale, S. and Yasseri, T. (2014) "The use of social media for research and analysis: a feasibility study" In: Report of research carried out by the Oxford Internet Institute on behalf of the Department for Work and Pensions. Department for Work and Pensions.
  • Eynon, R., Gillani, N., Hjorth, I. and Yasseri, T. (2014) "Conceptualising interaction and learning in MOOCs" In: MOOC Research Initiative. Final Report.

Presentations

  • Tsvetkova, M.T., Garcia-Gavilanes, R. and Yasseri, T. (2016) Dynamics of disagreement: Large-scale temporal network analysis reveals negative interactions in online collaboration. International Conference on Computational Social Science, Evanston, IL.
  • Tsvetkova, Garcia-Gavilanes, R. and Yasseri, T. (2016) Dynamics of disagreement: Large-scale temporal network analysis reveals negative interactions in online collaboration. International Network of Analytical Sociologists Conference, Utrecht, Netherlands.
  • Tsvetkova, M., Garcia-Gavilanes, R. and Yasseri, T. (2016) The dynamics of disagreement. Interdisciplinary Symposium on Experiments and Models of Social Networks, Copenhagen, Denmark.
  • Tsvetkova, M., Garcia-Gavilanes, R. and Yasseri, T. (2015) The dynamics of disagreement: A large-scale analysis of the Wikipedia revert network. GESIS Computational Social Science Winter Symposium, Cologne, Germany.
  • 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.

  • Big Data Analytics

    This course focuses on the statistical analysis, manipulating, and making sense of (already prepared) data.

  • 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.

  • 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.

  • Focus: Wikipedia Articles Separate into Four Categories

    22 January 2016 APS Physics


    Taha Yasseri says that editing inequality in Wikipedia is increasing with time, with fewer editors gaining an ever more dominant role.

  • How to win a Facebook argument, according to science

    11 February 2016 The Washington Post


    Taha Yasseri's study on Internet disagreements, which looked at patterns of edit reversion on Wikipedia, is cited in a Washington Post story on online argument and disagreement.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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'

  • 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'

  • 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’

  • 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.

  • 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

  • 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.

  • 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

  • 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.

  • 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.

  • 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.

  • ​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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Does Your Professor Have a Wikipedia Entry? Congrats! It Means Nothing

    7 November 2013 Daily Telegraph


    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.

  • 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.

  • 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.

  • 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

  • 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.

  • 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.

  • 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

  • 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.

  • 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.

  • 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)

  • 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.

  • 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

  • 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.

  • 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.

  • 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

  • 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.

  • Wikipedia ‘Edit Wars’: The most hotly contested topics

    3 June 2013 NBC News online


    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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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'.

  • 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.

  • 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.