A Computational Analysis of Ideological Positions, Emotional Stance, and Support for Presidential Candidates in Turkey
Yörük E. Atsızelti Ş. Kına M.F. Duruşan F. Gürerk O. Yardı M.C. Hürriyetoğlu A. Mutlu O. Etgü T. Koyuncu M. Topçu I.
March 2025John Wiley and Sons Inc
Developing Economies
2025#63Issue 197 - 125 pp.
Using artificial intelligence, this article explores the intricate dynamics between ideologies, emotions, and political preferences of the electorate in Turkey. Utilizing a dataset of one billion posts from X (formerly Twitter), the study maps out political opinions, focusing on support for presidential candidates, ideological stances, and collective emotions around the pivotal 2023 Turkish presidential elections. We discuss the limitations of conventional survey techniques and introduce an ERC-funded Politus project that processes digital trace data to offer timely insights into social and political trends. The studys findings, particularly around the “prayer rug (seccade) crisis,” underscore the complexity of electoral politics and the potential of digital trace data in capturing the evolving sentiments and ideological orientations of voters. Through this computational approach, the research provides a granular depiction of Turkeys ideological map and electoral behavior, contributing significantly to the discourse on political analysis in the digital era.
Artificial intelligence , Electoral politics , Emotion , Ideology , Turkey , Twitter
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Department of Sociology, Koç University, Istanbul, Türkiye
Department of Social Policy and Intervention, University of Oxford, Oxford, United Kingdom
Department of Sociology, Marmara University, Istanbul, Türkiye
Computational Social Science Research Centre, Koç University, Istanbul, Türkiye
Politus Analytics, Istanbul, Türkiye
Department of Mathematics, Nazarbayev University, Nur-Sultan, Kazakhstan
Department of Economics, Boğaziçi University, Istanbul, Türkiye
Department of Sociology
Department of Social Policy and Intervention
Department of Sociology
Computational Social Science Research Centre
Politus Analytics
Department of Mathematics
Department of Economics
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