First public dataset to study 2023 Turkish general election

Najafi, Ali and Muğurtay, Nihat and Zouzou, Yasser and Demirci, Ege and Demirkıran, Serhat and Karadeniz, Hüseyin Alper and Varol, Onur (2024) First public dataset to study 2023 Turkish general election. Scientific Reports, 14 (1). ISSN 2045-2322

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Abstract

In the context of Turkiye’s most recent parliamentary and presidential elections (“seçim” in Turkish), social media has played an important role in shaping public debate. It is of utmost importance to capture social media trends during the 2023 Turkish elections, since it uncovers a great deal of information of election propaganda, political debates, smear campaigns, and election manipulation by domestic and international actors. We provide a comprehensive dataset for social media researchers to study Turkish elections, develop tools to prevent online manipulation, and gather novel information to inform the public. We are committed to continually improving the data collection and updating it regularly leading up to the election. Using the #Secim2023 dataset, researchers can examine the social and communication networks between political actors, track current trends, and investigate emerging threats to election integrity. Our dataset and analysis code available through Harvard Dataverse and Github, respectively.
Item Type: Article
Divisions: Center of Excellence in Data Analytics
Faculty of Engineering and Natural Sciences
Depositing User: Onur Varol
Date Deposited: 10 Jun 2024 13:45
Last Modified: 10 Jun 2024 13:45
URI: https://research.sabanciuniv.edu/id/eprint/49334

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