A COMPUTATIONAL ANALYSIS OF IDEOLOGICAL POSITIONS, EMOTIONAL STANCE, AND SUPPORT FOR PRESIDENTIAL CANDIDATES IN TURKEY

Yörük E., Atsızelti Ş., KINA M., Duruşan F., Gürerk O., Yardı M. C., ...Daha Fazla

Developing Economies, 2024 (SSCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1111/deve.12424
  • Dergi Adı: Developing Economies
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, International Bibliography of Social Sciences, ABI/INFORM, Business Source Elite, Business Source Premier, CAB Abstracts, EconLit, Geobase, Index Islamicus, PAIS International, Political Science Complete, Sociological abstracts, Worldwide Political Science Abstracts
  • Anahtar Kelimeler: Artificial intelligence, Electoral politics, Emotion, Ideology, Turkey, Twitter
  • Marmara Üniversitesi Adresli: Evet

Özet

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 study's 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 Turkey's ideological map and electoral behavior, contributing significantly to the discourse on political analysis in the digital era.