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Veri Gazeteciliğine Yönelik Araştırmaların Bibliyometrik Analizi

Year 2024, Volume: 11 Issue: 2, 607 - 626, 30.07.2024
https://doi.org/10.17680/erciyesiletisim.1430017

Abstract

Bu araştırma, Scopus veri tabanındaki veri gazeteciliği başlıklı araştırmaları bibliyometrik analizle inceleyerek bu alandaki eğilimleri ortaya koymayı amaçlamaktır. Araştırmacılar için veri gazeteciliği konusunda literatürdeki boşlukları ve fırsatları belirleme potansiyeline sahip olması, bu çalışmanın önemini oluşturmaktadır. Bu doğrultuda, 10 Ocak 2024 tarihinde “data journalism” terimi kullanılarak Scopus veri tabanında bir inceleme yapılmış ve araştırma başlıklarına uygun olarak bulunan toplam 201 akademik çalışma bibliyometrik analize tabi tutulmuştur. Veri gazeteciliğine yönelik bu çalışmalar, VOSviewer yazılımı kullanılarak yayın yılları, anahtar kelimeler, sık kullanılan terimler, atıf sayıları, ülkelere göre dağılımı gibi farklı çerçevelerde incelenmiştir. Elde edilen veriler doğrultusunda, henüz yeni sayılabilecek bir kavram olan veri gazeteciliğine yönelik araştırmaların son yıllarda artış gösterdiği ve en çok çalışmanın İspanya’da yapıldığı belirlenmiştir. Bunun yanı sıra, veri gazeteciliği araştırmalarında en sık kullanılan anahtar kelimelerin “gazetecilik”, “gazetecilik eğitimi”, “açık veri”, “şeffaflık” ve “veri görselleştirme” olduğu sonucuna ulaşılmıştır. Mevcut araştırmaya ilişkin sonuçların ve önerilerin, veri gazeteciliğine yönelik gelecekteki araştırmalara ışık tutması beklenmektedir.

References

  • Adadi, A. (2021). A survey on data‐efficient algorithms in big data era. In Journal of Big Data (Vol. 8, Issue 1). Springer International Publishing. https://doi.org/10.1186/s40537-021-00419-9
  • Ainakhuagbor A., A., P.G., Ikharo S., E., & O.T. (2023). Data Journalism and Its Changing Role in News Gathering and Writing in the 21st Century. African Journal of Social Sciences and Humanities Research, 6(5), 82–95. https://doi.org/10.52589/ajsshr-tqejoz4r
  • Aitamurto, T., Sirkkunen, E., & Lehtonen, P. (2011). Trends in Data Journalism. Next Media, 0–27. http://virtual.vtt.fi/virtual/nextmedia/Deliverables-2011/D3.2.1.2.B_Hyperlocal_Trends_In Data_Journalism.pdf
  • Appelgren, E., & Nygren, G. (2014). Data Journalism in Sweden: Introducing new methods and genres of journalism into “old” organizations. Digital Journalism, 2(3), 394–405. https://doi.org/10.1080/21670811.2014.884344
  • Açık Veri ve Veri Gazeteciliği Platformu. (2012). Hakkında. https://www.verigazeteciligi.com/hakkinda/
  • Banshal, S. K., Verma, M. K., & Yuvaraj, M. (2022). Quantifying global digital journalism research: a bibliometric landscape. Library Hi Tech, 40(5), 1337–1358. https://doi.org/10.1108/LHT-01-2022-0083
  • Binu, D. Rajakumar, B. R. (2021). Artificial Intelligence in Data Mining. In Academic Press.
  • Borges-Rey, E. (2016). Unravelling Data Journalism: A study of data journalism practice in British newsrooms. Journalism Practice, 10(7), 833–843. https://doi.org/10.1080/17512786.2016.1159921
  • Budak, E. (2023). Gazetecilik Eğitimi Konusunda Yapılan Araştırmalar Üzerine Bibliyometrik Bir Analiz A Bibliometric Analysis of Research on Journalism Education. 5(2), 94–108.
  • Celik, E., Durmus, A., Adizel, O., & Nergiz Uyar, H. (2021). A bibliometric analysis: what do we know about metals(loids) accumulation in wild birds? Environmental Science and Pollution Research, 28(8), 10302–10334. https://doi.org/10.1007/s11356-021-12344-8
  • Coddington, M. (2015). Clarifying Journalism’s Quantitative Turn: A typology for evaluating data journalism, computational journalism, and computer-assisted reporting. Digital Journalism, 3(3), 331–348. https://doi.org/10.1080/21670811.2014.976400
  • Dağ, P. 2020. (2020). Veri Gazeteciliği. In T. Durna (Ed.), Sivil toplum kuruluşları icin hak temelli gazetecilik kılavuzu (pp. 127–155). um:ag Vakfı Yayınları.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133(April), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Doğu, B. (2015). Veri Haberciliği: Demokratik Medya İçin Olanaklar. Folklor/Edebiyat, 21(83), 181–197.
  • Erkmen, Ö. (2018). Büyük Veri ve Gazetecilik: Veri Gazeteciliği Demokrasi, Katılım ve Gazeteciliğe Dair Anlayışımızı Nasıl Dönüştürebilir? Akdeniz Üniversitesi İletişim Fakültesi Dergisi, 30, 322–344. https://doi.org/10.31123/akil.464511
  • Fink, K., & Anderson, C. W. (2015). Data Journalism in the United States: Beyond the “usual suspects.” Journalism Studies, 16(4), 467–481. https://doi.org/10.1080/1461670X.2014.939852
  • Furuncu Kutluhan, D., & Zinderen, A. (2021). Data Journalısm In The Covıd-19 Perıod: A Descrıptıonal Revıew Of Coronavırus News. Turkısh Onlıne Journal Of Desıgn Art And Communıcatıon, 11(1), 85–102. https://doi.org/10.7456/11101100/005
  • Gray, J, Bounegru, L.ve Chambers, L. (2012). The Data Journalism Handbook: How journalists can use data to improve the news. O’Reilly Media, Inc.
  • Hahn, O., & Stalph, F. (2018). Data, Visual Analytics and Innovative Methodologies in International Reporting. In O. Hahn & F. Stalph (Eds.), Digital Investigative Journalism (pp. 1–6). Palgrave Macmillan. https://doi.org/https://doi.org/10.1007/978-3-319-97283-1
  • Hammond, P. (2017). From computer-assisted to data-driven: Journalism and Big Data. Journalism, 18(4), 408–424. https://doi.org/10.1177/1464884915620205
  • Ho, Y.-S., & Wang, M.-H. (2020). A bibliometric analysis of artificial intelligence publications from 1991 to 2018. COLLNET Journal of Scientometrics and Information Management, 14(2), 369–392. https://doi.org/10.1080/09737766.2021.1918032
  • Joseph, S. R., Hlomani, H., & Letsholo, K. (2016). Data Mining Algorithms : An Overview Academic Discipline And Sub-Disciplines Data Mining and Algorithms. International Journal Computers and Technology, 15, 6806–6813.
  • Kalatzi, O., Bratsas, C., & Veglis, A. (2018). The Principles, Features and Techniques of Data Journalism. Studies in Media and Communication, 6(2), 36. https://doi.org/10.11114/smc.v6i2.3208
  • Khan, K. (2023). Data Journalism : Harnessing the Power of Numbers for Investigative Reporting Assefa Naveed Department of Journalism , University of Cambridge. July.
  • Khanra, S., Dhir, A., Kaur, P., & Mäntymäki, M. (2021). Bibliometric analysis and literature review of ecotourism: Toward sustainable development. Tourism Management Perspectives, 37(April 2020). https://doi.org/10.1016/j.tmp.2020.100777
  • Kraus, S., Li, H., Kang, Q., Westhead, P., & Tiberius, V. (2020). The sharing economy: a bibliometric analysis of the state-of-the-art. International Journal of Entrepreneurial Behaviour and Research, 26(8), 1769–1786. https://doi.org/10.1108/IJEBR-06-2020-0438
  • Küpelioğlu, G. (2016). Pınar Dağ: Veri sizi daha iyi bir gazeteci yapar. https://journo.com.tr/pinar-dag-veri-sizi-daha-iyi-bir-gazeteci-yapar
  • Leung, X. Y., Sun, J., & Bai, B. (2017). International Journal of Hospitality Management Bibliometrics of social media research : A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35–45.
  • Muthukrishnan, S. (2005). Data Streams: Algorithms and Applications. Foundations and Trends® in Theoretical Computer Science, 1(2), 117–236. https://doi.org/10.1561/0400000002
  • Narin, B., Ayaz, B., Fırat, F., & Fırat, D. (2017). Data Journalism in the Context of Big Data and Journalism. AJIT-e Online Academic Journal of Information Technology, 8(30), 215–235. https://doi.org/10.5824/1309-1581.2017.5.010.x
  • Narin, B., Fırat, F., Fırat, D., & Ayaz, B. (2017). Büyük Veri ve Gazetecilik İlişkisi Bağlamında Veri Gazeteciliği TT - Data Journalism in the Context of Big Data and Journalism. AJIT-e: Academic Journal of Information Technology, 8(30), 215–235. https://doi.org/10.5824/1309-1581.2017.5.010.x
  • Narmanlıoğlu, H. (2021). Veri Gazeteciliği ve Veri Manipülasyonu. In O. Çalışkan (Ed.), Çarpıtılmış gerçekliğin inşası (pp. 47–65). Nobel Akademik Yayıncılık.
  • Niñerola, A., Sánchez-Rebull, M. V., & Hernández-Lara, A. B. (2019). Tourism research on sustainability: A bibliometric analysis. Sustainability (Switzerland), 11(5), 1–17. https://doi.org/10.3390/su11051377
  • Parasie, S., & Dagiral, E. (2013). Data-driven journalism and the public good: “Computer-assisted-reporters” and “programmer-journalists” in Chicago. New Media and Society, 15(6), 853–871. https://doi.org/10.1177/1461444812463345
  • Qin, Y., Xu, Z., Wang, X., & Škare, M. (2022). Green energy adoption and its determinants: A bibliometric analysis. Renewable and Sustainable Energy Reviews, 153(October 2021). https://doi.org/10.1016/j.rser.2021.111780
  • Ramsälv, A., Ekström, M., & Westlund, O. (2023). The epistemologies of data journalism. New Media and Society. https://doi.org/10.1177/14614448221150439
  • Segado-Boj, F. (2020). Research on social media and journalism (2003-2017): A bibliometric and content review. Transinformacao, 32. https://doi.org/10.1590/1678-9865202032e180096
  • Usher, N. (2016). Nikki Usher - Interactive journalism hackers, data, and code-University of Illinois Press (2016).
  • van Eck, N. J., & Waltman, L. (2023). VOSviewer Manual version 1-6-19. Leiden: Univeristeit Leiden, January, 54. http://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.1.pdf
  • Wallin, J. A. (2005). Bibliometric methods: Pitfalls and possibilities. Basic and Clinical Pharmacology and Toxicology, 97(5), 261–275. https://doi.org/10.1111/j.1742-7843.2005.pto_139.x
  • Yang, K., Hu, Y., & Qi, H. (2022). Digital Health Literacy: Bibliometric Analysis. Journal of Medical Internet Research, 24(7), 1–26. https://doi.org/10.2196/35816
  • Özen, B. (2022). Veri Gazeteciliği ve Etik. https://cgd.org.tr/cagdas-dergi/cagdas-dergi-yazilar/2022/04/18/veri-gazeteciligi-ve-etik-cagdas-dergi-4/

Bibliometric Analysis of Research on Data Journalism

Year 2024, Volume: 11 Issue: 2, 607 - 626, 30.07.2024
https://doi.org/10.17680/erciyesiletisim.1430017

Abstract

This article aims to reveal the trends in this field by examining the research on data journalism in the Scopus database through bibliometric analysis. The importance of this study is that it has the potential to identify gaps and opportunities in the literature on data journalism for researchers. In this direction, a search was made in the Scopus database using the term "data journalism" on January 10, 2024 and a total of 201 academic studies found in accordance with the research titles were subjected to bibliometric analysis. These studies on data journalism were analyzed in different frameworks such as publication years, keywords, frequently used terms, number of citations, and distribution by countries using VOSviewer software. In line with the data obtained, it has been determined that research on data journalism, which is still a relatively new concept, has increased in recent years and most studies have been conducted in Spain. In addition, it was concluded that the most frequently used keywords in data journalism research are "journalism", "journalism education", "open data", "transparency" and "data visualization". The results and recommendations of the current study are expected to shed light on future research on data journalism.

References

  • Adadi, A. (2021). A survey on data‐efficient algorithms in big data era. In Journal of Big Data (Vol. 8, Issue 1). Springer International Publishing. https://doi.org/10.1186/s40537-021-00419-9
  • Ainakhuagbor A., A., P.G., Ikharo S., E., & O.T. (2023). Data Journalism and Its Changing Role in News Gathering and Writing in the 21st Century. African Journal of Social Sciences and Humanities Research, 6(5), 82–95. https://doi.org/10.52589/ajsshr-tqejoz4r
  • Aitamurto, T., Sirkkunen, E., & Lehtonen, P. (2011). Trends in Data Journalism. Next Media, 0–27. http://virtual.vtt.fi/virtual/nextmedia/Deliverables-2011/D3.2.1.2.B_Hyperlocal_Trends_In Data_Journalism.pdf
  • Appelgren, E., & Nygren, G. (2014). Data Journalism in Sweden: Introducing new methods and genres of journalism into “old” organizations. Digital Journalism, 2(3), 394–405. https://doi.org/10.1080/21670811.2014.884344
  • Açık Veri ve Veri Gazeteciliği Platformu. (2012). Hakkında. https://www.verigazeteciligi.com/hakkinda/
  • Banshal, S. K., Verma, M. K., & Yuvaraj, M. (2022). Quantifying global digital journalism research: a bibliometric landscape. Library Hi Tech, 40(5), 1337–1358. https://doi.org/10.1108/LHT-01-2022-0083
  • Binu, D. Rajakumar, B. R. (2021). Artificial Intelligence in Data Mining. In Academic Press.
  • Borges-Rey, E. (2016). Unravelling Data Journalism: A study of data journalism practice in British newsrooms. Journalism Practice, 10(7), 833–843. https://doi.org/10.1080/17512786.2016.1159921
  • Budak, E. (2023). Gazetecilik Eğitimi Konusunda Yapılan Araştırmalar Üzerine Bibliyometrik Bir Analiz A Bibliometric Analysis of Research on Journalism Education. 5(2), 94–108.
  • Celik, E., Durmus, A., Adizel, O., & Nergiz Uyar, H. (2021). A bibliometric analysis: what do we know about metals(loids) accumulation in wild birds? Environmental Science and Pollution Research, 28(8), 10302–10334. https://doi.org/10.1007/s11356-021-12344-8
  • Coddington, M. (2015). Clarifying Journalism’s Quantitative Turn: A typology for evaluating data journalism, computational journalism, and computer-assisted reporting. Digital Journalism, 3(3), 331–348. https://doi.org/10.1080/21670811.2014.976400
  • Dağ, P. 2020. (2020). Veri Gazeteciliği. In T. Durna (Ed.), Sivil toplum kuruluşları icin hak temelli gazetecilik kılavuzu (pp. 127–155). um:ag Vakfı Yayınları.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133(April), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Doğu, B. (2015). Veri Haberciliği: Demokratik Medya İçin Olanaklar. Folklor/Edebiyat, 21(83), 181–197.
  • Erkmen, Ö. (2018). Büyük Veri ve Gazetecilik: Veri Gazeteciliği Demokrasi, Katılım ve Gazeteciliğe Dair Anlayışımızı Nasıl Dönüştürebilir? Akdeniz Üniversitesi İletişim Fakültesi Dergisi, 30, 322–344. https://doi.org/10.31123/akil.464511
  • Fink, K., & Anderson, C. W. (2015). Data Journalism in the United States: Beyond the “usual suspects.” Journalism Studies, 16(4), 467–481. https://doi.org/10.1080/1461670X.2014.939852
  • Furuncu Kutluhan, D., & Zinderen, A. (2021). Data Journalısm In The Covıd-19 Perıod: A Descrıptıonal Revıew Of Coronavırus News. Turkısh Onlıne Journal Of Desıgn Art And Communıcatıon, 11(1), 85–102. https://doi.org/10.7456/11101100/005
  • Gray, J, Bounegru, L.ve Chambers, L. (2012). The Data Journalism Handbook: How journalists can use data to improve the news. O’Reilly Media, Inc.
  • Hahn, O., & Stalph, F. (2018). Data, Visual Analytics and Innovative Methodologies in International Reporting. In O. Hahn & F. Stalph (Eds.), Digital Investigative Journalism (pp. 1–6). Palgrave Macmillan. https://doi.org/https://doi.org/10.1007/978-3-319-97283-1
  • Hammond, P. (2017). From computer-assisted to data-driven: Journalism and Big Data. Journalism, 18(4), 408–424. https://doi.org/10.1177/1464884915620205
  • Ho, Y.-S., & Wang, M.-H. (2020). A bibliometric analysis of artificial intelligence publications from 1991 to 2018. COLLNET Journal of Scientometrics and Information Management, 14(2), 369–392. https://doi.org/10.1080/09737766.2021.1918032
  • Joseph, S. R., Hlomani, H., & Letsholo, K. (2016). Data Mining Algorithms : An Overview Academic Discipline And Sub-Disciplines Data Mining and Algorithms. International Journal Computers and Technology, 15, 6806–6813.
  • Kalatzi, O., Bratsas, C., & Veglis, A. (2018). The Principles, Features and Techniques of Data Journalism. Studies in Media and Communication, 6(2), 36. https://doi.org/10.11114/smc.v6i2.3208
  • Khan, K. (2023). Data Journalism : Harnessing the Power of Numbers for Investigative Reporting Assefa Naveed Department of Journalism , University of Cambridge. July.
  • Khanra, S., Dhir, A., Kaur, P., & Mäntymäki, M. (2021). Bibliometric analysis and literature review of ecotourism: Toward sustainable development. Tourism Management Perspectives, 37(April 2020). https://doi.org/10.1016/j.tmp.2020.100777
  • Kraus, S., Li, H., Kang, Q., Westhead, P., & Tiberius, V. (2020). The sharing economy: a bibliometric analysis of the state-of-the-art. International Journal of Entrepreneurial Behaviour and Research, 26(8), 1769–1786. https://doi.org/10.1108/IJEBR-06-2020-0438
  • Küpelioğlu, G. (2016). Pınar Dağ: Veri sizi daha iyi bir gazeteci yapar. https://journo.com.tr/pinar-dag-veri-sizi-daha-iyi-bir-gazeteci-yapar
  • Leung, X. Y., Sun, J., & Bai, B. (2017). International Journal of Hospitality Management Bibliometrics of social media research : A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35–45.
  • Muthukrishnan, S. (2005). Data Streams: Algorithms and Applications. Foundations and Trends® in Theoretical Computer Science, 1(2), 117–236. https://doi.org/10.1561/0400000002
  • Narin, B., Ayaz, B., Fırat, F., & Fırat, D. (2017). Data Journalism in the Context of Big Data and Journalism. AJIT-e Online Academic Journal of Information Technology, 8(30), 215–235. https://doi.org/10.5824/1309-1581.2017.5.010.x
  • Narin, B., Fırat, F., Fırat, D., & Ayaz, B. (2017). Büyük Veri ve Gazetecilik İlişkisi Bağlamında Veri Gazeteciliği TT - Data Journalism in the Context of Big Data and Journalism. AJIT-e: Academic Journal of Information Technology, 8(30), 215–235. https://doi.org/10.5824/1309-1581.2017.5.010.x
  • Narmanlıoğlu, H. (2021). Veri Gazeteciliği ve Veri Manipülasyonu. In O. Çalışkan (Ed.), Çarpıtılmış gerçekliğin inşası (pp. 47–65). Nobel Akademik Yayıncılık.
  • Niñerola, A., Sánchez-Rebull, M. V., & Hernández-Lara, A. B. (2019). Tourism research on sustainability: A bibliometric analysis. Sustainability (Switzerland), 11(5), 1–17. https://doi.org/10.3390/su11051377
  • Parasie, S., & Dagiral, E. (2013). Data-driven journalism and the public good: “Computer-assisted-reporters” and “programmer-journalists” in Chicago. New Media and Society, 15(6), 853–871. https://doi.org/10.1177/1461444812463345
  • Qin, Y., Xu, Z., Wang, X., & Škare, M. (2022). Green energy adoption and its determinants: A bibliometric analysis. Renewable and Sustainable Energy Reviews, 153(October 2021). https://doi.org/10.1016/j.rser.2021.111780
  • Ramsälv, A., Ekström, M., & Westlund, O. (2023). The epistemologies of data journalism. New Media and Society. https://doi.org/10.1177/14614448221150439
  • Segado-Boj, F. (2020). Research on social media and journalism (2003-2017): A bibliometric and content review. Transinformacao, 32. https://doi.org/10.1590/1678-9865202032e180096
  • Usher, N. (2016). Nikki Usher - Interactive journalism hackers, data, and code-University of Illinois Press (2016).
  • van Eck, N. J., & Waltman, L. (2023). VOSviewer Manual version 1-6-19. Leiden: Univeristeit Leiden, January, 54. http://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.1.pdf
  • Wallin, J. A. (2005). Bibliometric methods: Pitfalls and possibilities. Basic and Clinical Pharmacology and Toxicology, 97(5), 261–275. https://doi.org/10.1111/j.1742-7843.2005.pto_139.x
  • Yang, K., Hu, Y., & Qi, H. (2022). Digital Health Literacy: Bibliometric Analysis. Journal of Medical Internet Research, 24(7), 1–26. https://doi.org/10.2196/35816
  • Özen, B. (2022). Veri Gazeteciliği ve Etik. https://cgd.org.tr/cagdas-dergi/cagdas-dergi-yazilar/2022/04/18/veri-gazeteciligi-ve-etik-cagdas-dergi-4/
There are 42 citations in total.

Details

Primary Language Turkish
Subjects Journalism Studies
Journal Section Türkçe Araştırma Makaleleri
Authors

Burak İli 0000-0003-2816-101X

Hakan Bakar 0000-0001-6861-4525

Early Pub Date July 29, 2024
Publication Date July 30, 2024
Submission Date February 1, 2024
Acceptance Date June 4, 2024
Published in Issue Year 2024 Volume: 11 Issue: 2

Cite

APA İli, B., & Bakar, H. (2024). Veri Gazeteciliğine Yönelik Araştırmaların Bibliyometrik Analizi. Erciyes İletişim Dergisi, 11(2), 607-626. https://doi.org/10.17680/erciyesiletisim.1430017