First public dataset to study 2023 Turkish general election
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 d...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-58006-w |
| _version_ | 1797199482224377856 |
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| author | Ali Najafi Nihat Mugurtay Yasser Zouzou Ege Demirci Serhat Demirkiran Huseyin Alper Karadeniz Onur Varol |
| author_facet | Ali Najafi Nihat Mugurtay Yasser Zouzou Ege Demirci Serhat Demirkiran Huseyin Alper Karadeniz Onur Varol |
| author_sort | Ali Najafi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T07:16:27Z |
| format | Article |
| id | doaj.art-8dd1e5d91ef94d8fb7f7a3508f576d9a |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T07:16:27Z |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-8dd1e5d91ef94d8fb7f7a3508f576d9a2024-04-21T11:15:37ZengNature PortfolioScientific Reports2045-23222024-04-0114111210.1038/s41598-024-58006-wFirst public dataset to study 2023 Turkish general electionAli Najafi0Nihat Mugurtay1Yasser Zouzou2Ege Demirci3Serhat Demirkiran4Huseyin Alper Karadeniz5Onur Varol6Faculty of Engineering and Natural Sciences, Sabanci UniversityFaculty of Engineering and Natural Sciences, Sabanci UniversityFaculty of Engineering and Natural Sciences, Sabanci UniversityFaculty of Engineering and Natural Sciences, Sabanci UniversityFaculty of Engineering and Natural Sciences, Sabanci UniversityFaculty of Engineering and Natural Sciences, Sabanci UniversityFaculty of Engineering and Natural Sciences, Sabanci UniversityAbstract 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.https://doi.org/10.1038/s41598-024-58006-w |
| spellingShingle | Ali Najafi Nihat Mugurtay Yasser Zouzou Ege Demirci Serhat Demirkiran Huseyin Alper Karadeniz Onur Varol First public dataset to study 2023 Turkish general election Scientific Reports |
| title | First public dataset to study 2023 Turkish general election |
| title_full | First public dataset to study 2023 Turkish general election |
| title_fullStr | First public dataset to study 2023 Turkish general election |
| title_full_unstemmed | First public dataset to study 2023 Turkish general election |
| title_short | First public dataset to study 2023 Turkish general election |
| title_sort | first public dataset to study 2023 turkish general election |
| url | https://doi.org/10.1038/s41598-024-58006-w |
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