BIBLIOMETRIC ANALYSIS OF STUDIES ON DONALD TRUMP WITH VOSVIEWER: WEB OF SCIENCE DATABASE EXAMPLE

Öz

This study aims to analyze the studies published under the keyword “Donald Trump”. The basis of this purpose is to provide a content analysis leaf to the service of researchers by using the bibliometric analysis method in these studies and using quantitative data. The Web of Science (WOS) database was used in this study. This database accessed 950 works between 1996 and 2024 with the keyword “Donald Trump” in the title. The year in which the most works were published among these years is 2020. In addition, it was observed that many studies, ranging from articles to book chapters, were published between these years. The most intense among these types is the article. On the other hand, it has been found that the research fields of the works range from international relations to communication, from literature to health, and the highest number of publications among these fields is in governmental law. In addition to all these, it has been found that the United States is in the leading country in terms of the distribution of the most publications among the works, the language used in the works published by the authors is intensively English, and the SSCI index is frequently preferred in the indexes in which the work is published.

Anahtar Kelimeler

• United States of America
• Donald Trump
• Vosviewer
• Bibliometric analysis
• Web of Science database

DONALD TRUMP HAKKINDA YAPILAN ÇALIŞMALARIN VOSVIEWER İLE BİBLİYOMETRİK ANALİZİ: WEB OF SCIENCE VERİ TABANI ÖRNEĞİ

Öz

Bu çalışmada, “Donald Trump” anahtar kelimesinin başlığında yer alan ve yayınlanan çalışmalar incelemek amaçlanmaktadır. Bu amaç temelinde hedeflenen şey, nicel verilerden faydalanarak bu çalışmalar üzerinden bibliyometrik analiz yöntemini kullanarak bir içerik analizi yaparak araştırmacıların hizmetine sunmaktadır. Bu çalışmada, Web of Science (WOS) veri tabanı kullanılmıştır. Bu veri tabanı üzerinden “Donald Trump” anahtar kelimesinin başlığında bulunan 1996-2024 yılları arasında 950 esere ulaşılmıştır. Bu yıllar arasında en fazla eserin yayınlandığı yıl 2020’dir. Ayrıca bu yıllar arasında makaleden kitap bölümüne kadar birçok çalışma türünün yayınlandığı görülmüştür. Bu türler arasında en yoğun olanı makaledir. Öte yandan, eserlerin araştırma alanlarının uluslararası ilişkilerden iletişime, edebiyattan sağlığa kadar çeşitli olduğu tespit edilmiş ve bu alanlar arasında en fazla yayının da hükümetler hukuku alanında yapıldığı görülmüştür. Tüm bunların yanı sıra, eserler arasında en fazla yayının devlet dağılımı noktasında ABD’nin önde olduğu, yazarlar tarafından yayınlanan eserlerde kullanılan dil açısından İngilizce’nin yoğun bir şekilde kullanıldığı ve eserin yayınlandığı endekslerde SSCI endeksinin sıklıkla tercih edildiği tespit edilmiştir.

Anahtar Kelimeler

• Amerika Birleşik Devletleri
• Donald Trump
• Vosviewer
• Bibliyometrik analiz
• Web of Science veri tabanı

Kaynakça

1. • Adida, Claire L. & Lo, Adeline & Platas, Melina R. (2019), “Americans Preferred Syrian Refugees Who are Female, English-Speaking, and Christian on the eve of Donald Trump’s Election”, PLoS ONE, Cilt 14, Sayı: 10, ss. 1-18.
2. • Arceneaux, Kevin & Truex, Rory (2023), “Donald Trump and the Lie”, Perspectives on Politics, Cilt 21, Sayı: 3, ss. 863-879.
3. • Baker, Joseph O. & Perry, Samuel L. & Whitehead, Andrew L. (2020), “Keep America Christian (and White): Christian Nationalism, Fear of Ethnoracial Outsiders, and Intention to Vote for Donald Trump in the 2020 Presidential Election”, Sociology of Religion, Cilt 81, Sayı: 3, ss. 272-293.
4. • Bastos, Marco & Farkas, Johan (2019), “Donald Trump is my President!: The Internet Research Agency Propaganda Machine”, Social Media + Society, Cilt 5, Sayı: 3, ss.1-13.
5. • Carlson, Matt & Robinson, Sue & Lewis, Seth C. (2021), “Digital Press Criticism: The Symbolic Dimensions of Donald Trump’s Assault on U.S. Journalists as the “Enemy of the People”, Digital Journalism, Cilt 9, Sayı: 6, ss. 737-754.
6. • Clarke, Isobelle & Grieve, Jack (2019), “Stylistic Variation on the Donald Trump Twitter Account: A Linguistic Analysis of Tweets Posted Between 2009 and 2018”, PLoSONE, Cilt 14, Sayı: 9, ss. 1-27.
7. • Dirik, Deniz & Eryılmaz, İnan & Erhan, Tuğba (2023), “Post-Truth Kavramı Üzerine Yapılan Çalışmaların VOSviewer ile Bibliyometrik Analizi”, Sosyal Mucit Academic Review, Cilt 4, Sayı: 2, ss. 164-188.
8. • Drezner, Daniel W. (2020), “Immature Leadership: Donald Trump and the American Presidency”, International Affairs, Cilt 96, Sayı: 2, ss. 383-400.

9. • Fombona, Javier & Pascual-Sevillano, María-de-los-Ángeles & González-Videgaray, MariCarmen (2017), “M-Learning and Augmented Reality: A Review of the Scientific Literature on the WoS Repository”, Comunicar, Cilt 25, Sayı: 52, ss. 63-72.
10. • Giani, Marco & Méon, Pierre-Guillaume (2021), “Global Racist Contagion Following Donald Trump’s Election”, British Journal of Political Science, Cilt 51, Sayı: 3, ss. 1332-1339.
11. • Green, Jon & McElwee, Sean (2019), “The Differential Effects of Economic Conditions and Racial Attitudes in the Election of Donald Trump”, Perspectives on Politics, Cilt 17, Sayı: 2, ss. 358-379.
12. • Hornsey, Matthew J. & Finlayson, Matthew & Chatwood, Gabrielle & Begeny, Christopher T. (2020), “Donald Trump and Vaccination: The Effect of Political Identity, Conspiracist Ideation and Presidential Tweets on Vaccine Hesitancy”, Journal of Experimental Social Psychology, Cilt 88, ss. 1-8.
13. • Lei, Lei & Liu, Dilin (2019), “The Research Trends and Contributions of System’s Publications over the past four Decades (1973–2017): A Bibliometric Analysis”, System, Cilt 80, ss. 1-13.
14. • Martin, Sergio & Diaz, Gabriel & Sancristobal, Elio & Gil, Rosario & Castro, Manuel & Peire, Juan (2011), “New Technology Trends in Education: Seven Years of Forecasts and Convergence”, Computers & Education, Cilt 57, Sayı: 3, ss. 1893-1906.
15. • Meeks, Lindsey (2020),“Defining the Enemy: How Donald Trump Frames the News Media”, Journalism & Mass Communication Quarterly, Cilt 97, Sayı: 1, ss. 211-234.
16. • Ratliff, Kate A. & Redford, Liz & Conway, John & Smith, Colin T. (2019), “Engendering Support: Hostile Sexism Predicts Voting for Donald Trump over Hillary Clinton in the 2016 U.S. Presidential Election”, Group Processes & Intergroup Relations, Cilt 22, Sayı: 4, ss. 578-593.
17. • Ross, Andrew S. & Caldwell, David (2020), “‘Going Negative’: An Appraisal Analysis of the Rhetoric of Donald Trump on Twitter”, Language & Communication, Cilt 70, ss. 13-27.
18. • Womick, Jake & Rothmund, Tobias & Azevedo, Flavio & King, Laura A. & Jost, John T. (2019), “Group-Based Dominance and Authoritarian Aggression Predict Support for Donald Trump in the 2016 U.S. Presidential Election”, Social Psychological and Personality Science, Cilt 10, Sayı: 5, ss. 643-652.