A Computational Analysis of Ideological Positions, Emotional Stance, and Support for Presidential Candidates in Turkey

IF 2.5 4区 经济学 Q2 DEVELOPMENT STUDIES
Erdem Yörük, Şükrü Atsızelti, M. Fuat Kına, Fırat Duruşan, Oğuz Gürerk, Melih Can Yardı, Ali Hürriyetoğlu, Osman Mutlu, Tolga Etgü, Murat Koyuncu, Işık Topçu
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Abstract

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.

Abstract Image

土耳其总统候选人的意识形态立场、情感立场和支持的计算分析
本文利用人工智能,探讨了土耳其选民的意识形态、情感和政治偏好之间复杂的动态关系。该研究利用来自X(以前的Twitter)的10亿条帖子的数据集,绘制了政治观点,重点关注对总统候选人的支持、意识形态立场以及围绕2023年土耳其总统选举的集体情绪。我们讨论了传统调查技术的局限性,并介绍了一个由erc资助的Politus项目,该项目处理数字跟踪数据,以及时洞察社会和政治趋势。这项研究的发现,特别是围绕“祈祷毯(第二次)危机”的发现,强调了选举政治的复杂性,以及数字追踪数据在捕捉选民不断变化的情绪和意识形态取向方面的潜力。通过这种计算方法,该研究提供了土耳其意识形态地图和选举行为的详细描述,为数字时代的政治分析话语做出了重大贡献。
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来源期刊
CiteScore
3.60
自引率
9.10%
发文量
34
期刊介绍: The Developing Economies is the official journal of the Institute of Developing Economies, JETRO, and publishes original research articles dealing with empirical and comparative studies on social sciences relating to the developing countries.
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