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Büyük Veriye Dayalı Yapılan Kadın Araştırmalarının Genel Bir Değerlendirmesi

Year 2023, , 90 - 105, 30.12.2023
https://doi.org/10.61158/saukad.1331958

Abstract

Web 2.0 teknolojisinin ortaya çıkması ve sosyal medya mecralarının yaygınlaşması sonucu büyük verinin farkına varılması, bu veri türünü kullanarak yapılan analizlerin hızla popülerlik kazanmasını sağlamıştır. Bu durum araştırmacılar için yeni araştırma fırsatlarının ortaya çıkmasına neden olurken çeşitli zorlukları da beraberinde getirmiştir. Bu çalışmanın amacı, sosyal medyadan elde edilen veriler ile yapılan çalışmaların geleneksel yöntemlerle yapılan çalışmalara kıyasla yeni bir anlayış ortaya koyup koymadığını değerlendirmektir. Çalışma kapsamında Türkiye’deki kadın araştırmaları konusunda 2013 – 2022 yılları arasında sosyal bilimler alanında yayınlanan ve araştırma verileri büyük veri olan 47 makale dikkate alınmıştır. Söz konusu bu çalışmaların veri setlerini hangi mecralardan, nasıl elde ettikleri, veri setinin ne denli büyük olduğu, hangi analiz yöntemlerinin kullanıldığı, çalışmaların hangi konu başlıkları etrafında toplandığı, kısıtların neler olduğunu belirlenerek büyük veri kullanılarak yapılan çalışmalara daha geniş bir çerçeveden bakabilmek hedeflenmiştir. Böylece büyük veri kullanarak yapılan kadın çalışmalarındaki uygulamalar hakkında bir değerlendirme ve tartışma sunulmuştur.

References

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  • Anderson, C. (2008). The end of theory: The data deluge makes the scientific method obsolete. Wired, Retrieved from, http://www.wired.com/science/discoveries/magazine/ 1607/pb_theory.
  • Baym, N. K. (2013). Data not seen: The uses and shortcomings of social media metrics. First Monday 18(10), Retrieved from, http://firstmonday.org/ojs/index.php/fm/article/view/4873/3752
  • Berry, D. (2011). The computational turn: Thinking about the digital humanities. Culture Machine 12, Retrieved from, http://www.culturemachine.net/index.php/cm/article/view/440/470.
  • Boyd, D. (2015). Social media: A phenomenon to be analyzed. Social Media + Society, 1(1), 1–2. doi.org/10.1177/2056305115580
  • Bruns, A. (2013). Faster than the speed of print: Reconciling ‘big data’ social media analysis and academic scholarship. First Monday 18(10), Retrieved from, https://firstmonday.org/ojs/index.php/fm/article/view/4879/3756
  • Cohen, D. (2008). Interchange: The promise of digital history. Journal of American History, 95(2), 452–491. doi.org/10.2307/25095630
  • Crawford, K. (2013). The hidden biases of big data. Harvard Business Review Blog. Retrieved from, http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-data/
  • Crawford, K., Milner, K. & Gray, M. L. (2014). Critiquing big data: Politics, ethics, epistemology. International Journal of Communication, 8, 1663 – 1672. doi.org/ 1932/8036/20140005
  • Çetin, A. ve Edis, K. (2022). Ev kadınlarının sosyal medya deneyimleri: Batman örneği. Hafiza, 4 (2) (Özel Sayı), 12-35. doi.org/10.56671/hafizadergisi.1136508
  • Dyche, J. (2012). Big data ‘Eurekas!’ Don’t just happen. Harvard Business Review Blog, Retrieved from, http://blogs.hbr.org/cs/2012/11/eureka_doesnt_just_happen.htmm.
  • Dursun, O. & Yıldız, F. (2020). Kamu adaletinin büyük veri aracılığı ile inşası: Şule Çet davası üzerine bir twitter analizi. Connectist: Istanbul University Journal of Communication Sciences, (58), 291-328. https://doi.org/10.26650/CONNECTIST2020-0009
  • Edwards, A., Housley, W., Williams, M., Sloan, L. & Williams, M. (2013). Digital social research, social media and the sociological imagination: Surrogacy, augmentation and re-orientation. International Journal of Social Research Methodology, 16 (3), 245–260. doi.org/10.1080/13645579.2013.774185
  • Ersoy, A. F. (2018). Sosyal medya kullanımının annelerin annelik rolü üzerindeki etkisi. The Journal of Academic Social Sciences, 6 (81), 14 -20. doi.org/10.16992/ASOS.14279
  • González-Bailón, S., Wang, N., Rivero, A. Borge-Holtoefer, J. & Moreno, Y. (2012). Assessing the Bias in Communication Networks Sampled from Twitter. Retrieved from, https://arxiv.org/ftp/arxiv/papers/1212/1212.1684.pdf
  • Herring, S. C. (2004). Computer-mediated discourse analysis: An approach to researching online behavior içinde Designing for virtual communities in the service of learning. Editörler: S.A. Barab, R. Kling ve J.H. Gray: New York: Cambridge University Press.
  • Hey, T., Tansley, S. & Tolle, K. (2009). Jim Grey on eScience: A transformed scientific method içinde The fourth paradigm: Data-intensive scientific discovery. Microsoft research. Editörler: T. Hey, S. Tansley ve K. Tolle Washington: Redmond.
  • Hogan, B. & Quan-Haase, A. (2010). Persistence and change in social media. Bulletin of Science, Technology & Society, 30 (5), 309–315. doi.org/10.1177/027046761038001
  • Huzziyas, Ş. & Nizam, F. (2021). Özgecan Aslan cinayeti sonrası sosyal medyada dayanışma olgusu. Jass Studies-The Journal of Academic Social Science Studies, 14(86), 389-420. doi.org/10.1016/j.chb.2018.08.039
  • Işıklı, Ş. (2014). Büyük veri, epistemoloji ve etik tartışmalar . AJIT-e: Academic Journal of Information Technology, 5 (17), 89-122. doi.org/10.5824/1309-1581.2014.4.006.x
  • Jungherr, A. (2016). Twitter use in election campaigns: A systematic literature review. Journal of Information Technology & Politics, 30(1), 72–91. doi.org/10.1080/19331681.2015.1132401
  • Kelling, S., Hochachka, W., Fink, D., Riedewald, M., Caruana, R., Ballard, G. & Hooker, G. (2009). Data-intensive science: A new paradigm for biodiversity studies. BioScience, 59 (7), 613–620. doi.org/10.1525/bio.2009.59.7.12
  • Kinder-Kurlanda K. & Weller, K. (2014, Haziran). I always feel it must be great to be a hacker! : The role of interdisciplinary work in social media research. Proceedings of the 6th ACM Conference on Web Science. New York: ACM Press.
  • Kitchin, R. (2013). Big data and human geography: Opportunities, challenges and risks. Dialogues in Human Geography, 79 (1), 1–14. doi.org/10.1177/2043820613513388
  • Kitchin, R. (2016). Big data - hype or revolution? Içinde The SAGE Handbook of social media research methods T. Hey, S. Tansley ve K. Tolle: London: SAGE Publications.
  • Koç, G., Bakır-demir, T. & Öner-özkan, B. (2019). Türkiye’de çalışan annenin sosyal medyadaki temsili. Karadeniz Sosyal Bilimler Dergisi, 11 (21), 401-421.
  • Köse, S. B. & Akyazı, E. (2020). Kadın cinayetlerinin alternatif medyadaki algisi. İletişim Çalışmaları Dergisi, 6 (1), 47-64. doi.org/10.17932/IAU.ICD.2015.006/icd_v06i1003
  • Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34 (3), 387–394. doi.org/10.1016/j.ijinfomgt.2014.02.002
  • Kuhn, T. (1995). Bilimsel Devrimlerin Yapısı. İstanbul:Alan Yayıncılık.
  • Langlois, G., Redden, J., & Elmer, G. (2015). Introduction: Compromised data—from social media to big data içinde Compromised data: From social media to big data. G. Langlois, J. Redden ve G. Elmer: New York: Bloomsbury Academic.
  • Lyu, K., & Kim, H. (2016). Sentiment analysis using word polarity of social media. Wireless Personal Communications, 89(3), 941–958. doi.org/10.1007/s11277-016-3346-1
  • Manovich, L. (2011). Trending: The Promises and the Challenges of Big Social Data. Retrieved from, http://www.manovich.net/DOCS/Manovich_trending_ paper.pdf.
  • Mayer - Schönberger, K. & Cukier. (2013). Büyük veri: Yaşama, çalışma ve düşünme şeklimizi dönüştürecek bir devrim. İstanbul: Paloma Yayıncılık.
  • Mayr, P., & Weller, K. (2016). Think before you collect: setting up a data collection approach for social media studies içinde The SAGE Handbook of social media research methods. Sloan, L., & Quan-Haase, A. London: SAGE Publications
  • McCay-Peet, L., & Quan-Haase, A. (2016). What is social media and what questions can social media research help us answer içinde The SAGE Handbook of social media research methods. Sloan, L., & Quan-Haase, A London: SAGE Publications.
  • Metin, O. ve Ünal, Ş. (2022). İçerik analizi tekniği: iletişim bilimlerinde ve sosyolojide doktora tezlerinde kullanımı. Anadolu Üniversitesi Sosyal Bilimler Dergisi, AÜSBD Sosyal Bilimlerde Araştırma Yöntemleri Özel sayısı, 273-294.
  • Prensky, M. (2009). H. sapiens digital: From digital immigrants and digital natives to digital wisdom. Innovate 5(3). Retrieved from, http://www.innovateonlineinfo/index.php?view=article&id=705
  • Quan-Haase, A. & Young, A. L. (2010). Uses and gratifications of social media: A comparison of Facebook and instant messaging. Bulletin of Science, Technology & Society 30(5), 350–361. doi.org/10.1177/02704676103800
  • Schroeder, R. (2014). Big Data and the brave new world of social media research. Big Data & Society 1 (2). Retrieved from, http://bds.sagepub.com/lookup/doi/10.1177/20539517 14563194
  • Tavşancıl, E. ve Aslan, E. A. (2001). Sözel, yazılı ve diğer materyaller için içerik analizi ve uygulama örnekleri. İstanbul: Epsilon.
  • Tekin, F. & Turan, A.T. (2020). Çalışan kadınların sosyal medya kullanım karakteristikleri. Sakarya Üniversitesi İşletme Enstitüsü Dergisi, 2 (1), 27-32.
  • Weiss, R. & Zgorski, L.J. (2012). Obama administration unveils ‘Big Data’ Initiative: Announces $200 Million in New R&D Investments. Office of Science and Technology Policy. Retrieved from, http://www.whitehouse.gov/sites/default/fi les/microsites/ostp/big_data_press_release.pdf
  • Weninger, T., Zhu, X.A. ve Han, J. (2013). An exploration of discussion threads in social news sites: A case study of the Reddit community. Retrieved from, http://dl.acm.org/citation.cfm?doid= 2492517.2492646

A General Assessment of Big Data-Based Women's Research

Year 2023, , 90 - 105, 30.12.2023
https://doi.org/10.61158/saukad.1331958

Abstract

High pace advancement of Web 2.0 technology and the spread of social media channels, the awareness of big data has made the analyzes using this data type gain popularity rapidly. While this situation led to the emergence of new research opportunities for researchers, it also brought along various challenges. The aim of this study is to evaluate whether the studies conducted with the data obtained from social media reveal a new understanding compared to the studies conducted with traditional research methods. Within the scope of the study, 47 articles on women's studies in Turkey, which were published in the field of social sciences between 2013 and 2022 and whose research data are big data, were taken into consideration. It is aimed to be able to look at the studies using big data from a wider perspective by determining from which channels and how the data sets of these studies are obtained, how large the data set is, which analysis methods are used, which topics the studies are gathered around, and what the limitations are. Thus, an evaluation and discussion about the practices in women's studies using big data is presented.

References

  • Alikılıç, Ö. & Baş, Ş. (2019). Dijital feminizm: Hashtag’in cinsiyeti. Fe Dergi, 11 (1), 89-111.
  • Anderson, C. (2008). The end of theory: The data deluge makes the scientific method obsolete. Wired, Retrieved from, http://www.wired.com/science/discoveries/magazine/ 1607/pb_theory.
  • Baym, N. K. (2013). Data not seen: The uses and shortcomings of social media metrics. First Monday 18(10), Retrieved from, http://firstmonday.org/ojs/index.php/fm/article/view/4873/3752
  • Berry, D. (2011). The computational turn: Thinking about the digital humanities. Culture Machine 12, Retrieved from, http://www.culturemachine.net/index.php/cm/article/view/440/470.
  • Boyd, D. (2015). Social media: A phenomenon to be analyzed. Social Media + Society, 1(1), 1–2. doi.org/10.1177/2056305115580
  • Bruns, A. (2013). Faster than the speed of print: Reconciling ‘big data’ social media analysis and academic scholarship. First Monday 18(10), Retrieved from, https://firstmonday.org/ojs/index.php/fm/article/view/4879/3756
  • Cohen, D. (2008). Interchange: The promise of digital history. Journal of American History, 95(2), 452–491. doi.org/10.2307/25095630
  • Crawford, K. (2013). The hidden biases of big data. Harvard Business Review Blog. Retrieved from, http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-data/
  • Crawford, K., Milner, K. & Gray, M. L. (2014). Critiquing big data: Politics, ethics, epistemology. International Journal of Communication, 8, 1663 – 1672. doi.org/ 1932/8036/20140005
  • Çetin, A. ve Edis, K. (2022). Ev kadınlarının sosyal medya deneyimleri: Batman örneği. Hafiza, 4 (2) (Özel Sayı), 12-35. doi.org/10.56671/hafizadergisi.1136508
  • Dyche, J. (2012). Big data ‘Eurekas!’ Don’t just happen. Harvard Business Review Blog, Retrieved from, http://blogs.hbr.org/cs/2012/11/eureka_doesnt_just_happen.htmm.
  • Dursun, O. & Yıldız, F. (2020). Kamu adaletinin büyük veri aracılığı ile inşası: Şule Çet davası üzerine bir twitter analizi. Connectist: Istanbul University Journal of Communication Sciences, (58), 291-328. https://doi.org/10.26650/CONNECTIST2020-0009
  • Edwards, A., Housley, W., Williams, M., Sloan, L. & Williams, M. (2013). Digital social research, social media and the sociological imagination: Surrogacy, augmentation and re-orientation. International Journal of Social Research Methodology, 16 (3), 245–260. doi.org/10.1080/13645579.2013.774185
  • Ersoy, A. F. (2018). Sosyal medya kullanımının annelerin annelik rolü üzerindeki etkisi. The Journal of Academic Social Sciences, 6 (81), 14 -20. doi.org/10.16992/ASOS.14279
  • González-Bailón, S., Wang, N., Rivero, A. Borge-Holtoefer, J. & Moreno, Y. (2012). Assessing the Bias in Communication Networks Sampled from Twitter. Retrieved from, https://arxiv.org/ftp/arxiv/papers/1212/1212.1684.pdf
  • Herring, S. C. (2004). Computer-mediated discourse analysis: An approach to researching online behavior içinde Designing for virtual communities in the service of learning. Editörler: S.A. Barab, R. Kling ve J.H. Gray: New York: Cambridge University Press.
  • Hey, T., Tansley, S. & Tolle, K. (2009). Jim Grey on eScience: A transformed scientific method içinde The fourth paradigm: Data-intensive scientific discovery. Microsoft research. Editörler: T. Hey, S. Tansley ve K. Tolle Washington: Redmond.
  • Hogan, B. & Quan-Haase, A. (2010). Persistence and change in social media. Bulletin of Science, Technology & Society, 30 (5), 309–315. doi.org/10.1177/027046761038001
  • Huzziyas, Ş. & Nizam, F. (2021). Özgecan Aslan cinayeti sonrası sosyal medyada dayanışma olgusu. Jass Studies-The Journal of Academic Social Science Studies, 14(86), 389-420. doi.org/10.1016/j.chb.2018.08.039
  • Işıklı, Ş. (2014). Büyük veri, epistemoloji ve etik tartışmalar . AJIT-e: Academic Journal of Information Technology, 5 (17), 89-122. doi.org/10.5824/1309-1581.2014.4.006.x
  • Jungherr, A. (2016). Twitter use in election campaigns: A systematic literature review. Journal of Information Technology & Politics, 30(1), 72–91. doi.org/10.1080/19331681.2015.1132401
  • Kelling, S., Hochachka, W., Fink, D., Riedewald, M., Caruana, R., Ballard, G. & Hooker, G. (2009). Data-intensive science: A new paradigm for biodiversity studies. BioScience, 59 (7), 613–620. doi.org/10.1525/bio.2009.59.7.12
  • Kinder-Kurlanda K. & Weller, K. (2014, Haziran). I always feel it must be great to be a hacker! : The role of interdisciplinary work in social media research. Proceedings of the 6th ACM Conference on Web Science. New York: ACM Press.
  • Kitchin, R. (2013). Big data and human geography: Opportunities, challenges and risks. Dialogues in Human Geography, 79 (1), 1–14. doi.org/10.1177/2043820613513388
  • Kitchin, R. (2016). Big data - hype or revolution? Içinde The SAGE Handbook of social media research methods T. Hey, S. Tansley ve K. Tolle: London: SAGE Publications.
  • Koç, G., Bakır-demir, T. & Öner-özkan, B. (2019). Türkiye’de çalışan annenin sosyal medyadaki temsili. Karadeniz Sosyal Bilimler Dergisi, 11 (21), 401-421.
  • Köse, S. B. & Akyazı, E. (2020). Kadın cinayetlerinin alternatif medyadaki algisi. İletişim Çalışmaları Dergisi, 6 (1), 47-64. doi.org/10.17932/IAU.ICD.2015.006/icd_v06i1003
  • Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34 (3), 387–394. doi.org/10.1016/j.ijinfomgt.2014.02.002
  • Kuhn, T. (1995). Bilimsel Devrimlerin Yapısı. İstanbul:Alan Yayıncılık.
  • Langlois, G., Redden, J., & Elmer, G. (2015). Introduction: Compromised data—from social media to big data içinde Compromised data: From social media to big data. G. Langlois, J. Redden ve G. Elmer: New York: Bloomsbury Academic.
  • Lyu, K., & Kim, H. (2016). Sentiment analysis using word polarity of social media. Wireless Personal Communications, 89(3), 941–958. doi.org/10.1007/s11277-016-3346-1
  • Manovich, L. (2011). Trending: The Promises and the Challenges of Big Social Data. Retrieved from, http://www.manovich.net/DOCS/Manovich_trending_ paper.pdf.
  • Mayer - Schönberger, K. & Cukier. (2013). Büyük veri: Yaşama, çalışma ve düşünme şeklimizi dönüştürecek bir devrim. İstanbul: Paloma Yayıncılık.
  • Mayr, P., & Weller, K. (2016). Think before you collect: setting up a data collection approach for social media studies içinde The SAGE Handbook of social media research methods. Sloan, L., & Quan-Haase, A. London: SAGE Publications
  • McCay-Peet, L., & Quan-Haase, A. (2016). What is social media and what questions can social media research help us answer içinde The SAGE Handbook of social media research methods. Sloan, L., & Quan-Haase, A London: SAGE Publications.
  • Metin, O. ve Ünal, Ş. (2022). İçerik analizi tekniği: iletişim bilimlerinde ve sosyolojide doktora tezlerinde kullanımı. Anadolu Üniversitesi Sosyal Bilimler Dergisi, AÜSBD Sosyal Bilimlerde Araştırma Yöntemleri Özel sayısı, 273-294.
  • Prensky, M. (2009). H. sapiens digital: From digital immigrants and digital natives to digital wisdom. Innovate 5(3). Retrieved from, http://www.innovateonlineinfo/index.php?view=article&id=705
  • Quan-Haase, A. & Young, A. L. (2010). Uses and gratifications of social media: A comparison of Facebook and instant messaging. Bulletin of Science, Technology & Society 30(5), 350–361. doi.org/10.1177/02704676103800
  • Schroeder, R. (2014). Big Data and the brave new world of social media research. Big Data & Society 1 (2). Retrieved from, http://bds.sagepub.com/lookup/doi/10.1177/20539517 14563194
  • Tavşancıl, E. ve Aslan, E. A. (2001). Sözel, yazılı ve diğer materyaller için içerik analizi ve uygulama örnekleri. İstanbul: Epsilon.
  • Tekin, F. & Turan, A.T. (2020). Çalışan kadınların sosyal medya kullanım karakteristikleri. Sakarya Üniversitesi İşletme Enstitüsü Dergisi, 2 (1), 27-32.
  • Weiss, R. & Zgorski, L.J. (2012). Obama administration unveils ‘Big Data’ Initiative: Announces $200 Million in New R&D Investments. Office of Science and Technology Policy. Retrieved from, http://www.whitehouse.gov/sites/default/fi les/microsites/ostp/big_data_press_release.pdf
  • Weninger, T., Zhu, X.A. ve Han, J. (2013). An exploration of discussion threads in social news sites: A case study of the Reddit community. Retrieved from, http://dl.acm.org/citation.cfm?doid= 2492517.2492646
There are 43 citations in total.

Details

Primary Language Turkish
Subjects Women's Studies
Journal Section Research Articles
Authors

Burcu Gumus 0000-0003-2643-2744

Early Pub Date December 27, 2023
Publication Date December 30, 2023
Submission Date July 24, 2023
Published in Issue Year 2023

Cite

APA Gumus, B. (2023). Büyük Veriye Dayalı Yapılan Kadın Araştırmalarının Genel Bir Değerlendirmesi. Sakarya Üniversitesi Kadın Araştırmaları Dergisi, 2(2), 90-105. https://doi.org/10.61158/saukad.1331958