My research focuses on political representation, party competition, political communication, public opinion, quantitative text analysis, and the application of computer vision techniques. My work has been published in journals such as The Journal of Politics, Political Communication, Political Science Research and Methods, and the European Journal of Political Research, among others.
I am a founding member of the Connected_Politics Lab, a non-resident fellow at the Digital Democracy Lab at the University of Zurich, a member of the UCD Energy Institute, and maintainer of the Irish Polling Indicator.
Stefan Müller. 2021. “The Temporal Focus of Campaign Communication.” The Journal of Politics (online first).
Fabrizio Gilardi, Theresa Gessler, Maël Kubli, and Stefan Müller. 2021. “Social Media and Political Agenda Setting.” Political Communication (online first).
Shaun Bowler, Gail McElroy, and Stefan Müller. 2021. “Voter Expectations of Government Formation in Coalition Systems: The Importance of the Information Context.” European Journal of Political Research (online first).
Fabrizio Gilardi, Theresa Gessler, Maël Kubli, and Stefan Müller. 2021. “Social Media and Policy Responses to the COVID-19 Pandemic in Switzerland.” Swiss Political Science Review (online first).
Michael Jankowski and Stefan Müller. 2021. “The Incumbency Advantage in Second-Order PR Elections: Evidence from the Irish Context, 1942–2019.” Electoral Studies 71: 102331.
Stefan Müller. 2020. “Media Coverage of Campaign Promises Throughout the Electoral Cycle.” Political Communication 37(5): 696–718.
Stefan Müller and Tom Louwerse. 2020. “The Electoral Cycle Effect in Parliamentary Democracies.” Political Science Research and Methods 8(4): 795–802.
Shaun Bowler, Gail McElroy, and Stefan Müller. 2020. “Campaigns and the Selection of Policy-Seeking Representatives.” Legislative Studies Quarterly 45(3): 397–431.
Stefan Müller and Michael Jankowski. 2019. “Do Voters Really Prefer More Choice? Determinants of Support for Personalised Electoral Systems.” Journal of Elections, Public Opinion and Parties 29(2): 262–281.
Kenneth Benoit, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. 2018. “quanteda: An R Package for the Quantitative Analysis of Textual Data.” Journal of Open Source Software 3(30): 774.
Shaun Bowler, Gail McElroy, and Stefan Müller. 2018. “Voter Preferences and Party Loyalty under Cumulative Voting: Political Behaviour after Electoral Reform in Bremen and Hamburg.” Electoral Studies 51: 93–102.
Liam Kneafsey and Stefan Müller. 2018. “Assessing the Influence of Neutral Grounds on Match Outcomes.” International Journal of Performance Analysis in Sport 18(6): 892–905.
Building Research Infrastructures to Study Digital Technology and Politics: Lessons from Switzerland. PS: Political Science & Politics: conditionally accepted (with Fabrizio Gilardi, Lucien Baumgartner, Clau Dermont, Karsten Donnay, Theresa Gessler, Maël Kubli, and Lucas Leemann).
Gender, Candidate Emotional Expression, and Voter Reactions During Televised Debates. American Political Science Review: revise & resubmit (with Constantine Boussalis, Travis G. Coan, and Mirya R. Holman).
Evidence for the Irrelevance of Irrelevant Events. Political Science Research and Methods: revise & resubmit (with Liam Kneafsey).
Are Irish Voters Moving to the Left? (with Aidan Regan).
Explaining (In)Congruence Between Politicians' Campaign Promises and Subsequent Legislative Priorities (with Naofumi Fujimura).
The Politics of Nostalgia in Europe (with Sven-Oliver Proksch).
Do Candidates Tweet About Oirish Sheep? Examining the Irish #GE2020 Campaign on Social Media Using an Images-as-Data Approach (with Mark Belford, James P Cross, Derek Greene, and Martijn Schoonvelde).
If you would like to get access to the latest version of a paper, feel free to send me an e-mail.
2021: Quantitative Text Analysis using R and quanteda, University of Hamburg.
2020: Creating and Hosting an Academic Personal Website Using Hugo and GitHub, Connected_Politics Lab, University College Dublin (with Natalia Umansky).
2020: Quantitative Approaches to Linguistic and Textual Analysis and Data Visualisation using R, Scottish Graduate School of Social Science (with Theresa Gessler).
2020: Reproducible Research with Git and GitHub, Connected_Politics Lab, University College Dublin.
2020: Wrangling and Visualising Data Using R, Connected_Politics Lab, University College Dublin.
2019: Quantitative Text Analysis for Absolute Beginners, POLTEXT Pre-Conference Events, Tokyo.
2019: Introduction to Quantitative Text Analysis, Kobe University.
2019: An Introduction to Quantitative Text Analysis Using R and quanteda, Swiss National Science Foundation, Bern.
2019: Quantitative Text Analysis, University of Düsseldorf.
2019: An Introduction to Quantitative Text Analysis Using R and quanteda, University of Bergen.
2018: An Introduction to the Quanteda Package for Quantitative Text Analysis, Trinity College Dublin and University College Dublin.
2018: Introduction to Quantitative Text Analysis Using R, Methods Center of the Bremen International Graduate School of Social Sciences.
2018: Introduction to Quantitative Text Analysis Using Quanteda, WZB Berlin Social Science Center (with Kohei Watanabe).
2017: Data Wrangling and Visualisation Using R, Trinity Research in Social Science.
The Irish Polling Indicator is a joint project with Tom Louwerse. We combine all opinion polls for the Dáil Éireann into daily estimates of public support for Irish parties. The website of the Polling Indicator provides various interactive graphs and detailed information on the underlying method.
The figure below (updated automatically after the release of new polls) summarises the most recent estimates of party support.
|2020–||Assistant Professor and Ad Astra Fellow
University College Dublin
– School of Politics and International Relations
– Connected_Politics Lab (founding member)
|2019–2020||Senior Researcher (Oberassistent)
University of Zurich, Department of Political Science
|2015–2018||PhD in Political Science
Trinity College Dublin, Department of Political Science
|2017–2018||Postgraduate Certificate in Statistics
Trinity College Dublin, School of Computer Science and Statistics
|2014–2015||Master of Science in Politics and Public Policy
Trinity College Dublin, Department of Political Science
|2011–2014||Bachelor of Arts in Political Science and Sociology
University of Bonn, Department of Political Science and Sociology
|2020–||University of Zurich, Digital Democracy Lab|
|2019||Kobe University, Graduate School of Law|
|2019||Trinity College Dublin, Department of Political Science|
|2018||EUROLAB at GESIS – Leibniz Institute for the Social Sciences, Cologne|