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Determining Users' Interest Levels for Disasters Specific to Google Trend

Yıl 2022, Cilt , Sayı 13, 96 - 118, 25.12.2022
https://doi.org/10.21733/ibad.1105973

Öz

Disasters are situations in which societies cannot cope with their own resources. Therefore, it is necessary to increase the capacity of the society by preparing for disasters. Determining the vulnerability levels of societies and including them in disaster preparedness plans is important in terms of increasing social capacity. It is thought that the level of interest of societies in disaster education and its field has an important denominator in preparing for disasters. In this study carried out; It has been tried to determine the relevant level of the society through some selected keywords related to the disaster. In the study; In general, a query was made with keywords such as "Earthquake", "Earthquake Prayer", "Earthquake Assembly Area", "Collapse-Trap-Hold", "What to Do in an Earthquake", "What Should Be in the Earthquake Bag", which can determine the level of interest of users in general. It has been determined as a remarkable point that the periods in which the related words are trending in intensity come to the periods when earthquakes are experienced. In addition, it was determined that some words were trending during the weeks organized by the educational activities. As a result; It can be said that societies are generally more sensitive to related issues during and after the event. However, it is clear that more attention should be paid to pre-disaster preparedness studies in order to minimize disaster damage. In this context, it can be stated that the total implementation of pre-disaster preparedness activities will increase resilience.

Kaynakça

  • Abid, S. K., Sulaiman, N., Chan, S. W., Nazir, U., Abid, M., Han, H., & Vega-Muñoz, A. (2021). Toward an integrated disaster management approach: How artificial intelligence can boost disaster management. Sustainability, 13(22), 12560.
  • AFAD. (2014). Afet ve Acil Durum Başkanlığı. Açıklamalı Afet Yönetimi Terimleri Sözlüğü. https://www.afad.gov.tr/kitaplar
  • AFAD. (2018a). Heyelanlara Karşı Alınacak Önlemler. https://www.afad.gov.tr/deprem-oncesi-anive-sonrasi-alabileceginiz-onlemleri-biliyormusunuz#:~:text=Acil%20durum%20%C3%A7antan%C4%B1z%C4%B1%20yan%C4%B 1n%C4%B1za%20al%C4%B1n,sonra%20mutlaka%20art%C3%A7%C4%B1%20depremle r%20olur
  • AFAD. (2018b). Deprem Öncesi, Anı Ve Sonrası Alabileceğiniz Önlemleri Biliyor Musunuz?. https://www.afad.gov.tr/heyelanlara-karsi-alinacakonlemler#:~:text=Gerekiyorsa%20tehlikeli%20b%C3%B6lgeden%20uzakla%C5%9Farak %20kendinizi,Fener%20kulan%C4%B1n
  • AFAD. (2019). Marmara Denizi, Silivri Açıkları (İstanbul)Mw 5.8depremine İlişkin ön Değerlendirme Raporu. https://deprem.afad.gov.tr/downloadDocument?id=1822
  • AFAD. (2020). 24 Ocak 2020 Elazığ Depremi. https://deprem.afad.gov.tr/tarihteBuAy?id=79
  • AFAD. (2021a). 1-7 Mart Deprem Haftası’nı Hazırlık İle Değerlendirin-Basın Bülteni. https://www.afad.gov.tr/1-7-mart-deprem-haftasini-hazirlik-ile-degerlendirin
  • AFAD. (2021b). 28 Şubat Sivil Savunma Günü. https://www.afad.gov.tr/28-subat-sivil-savunmagunu
  • AFAD. (t.y.a). Afet Toplanma Alanları. https://afet.tekirdag.bel.tr/gecici_toplanma_alanlari
  • AFAD. (t.y.b). Deprem. https://www.afad.gov.tr/afadem/deprem
  • AFAD. (t.y.c). Sel. https://www.afad.gov.tr/afadem/sel
  • Avcı, K. (2021). Türkiye’de COVID-19 ile ilgili web arama davranışlarının incelenmesi: Google trendleri kullanan bir dijital epidemiyoloji çalışması. Türk Hijyen ve Deneysel Biyoloji Dergisi, 78(2), 133-146.
  • Ayyoubzadeh, S. M., Ayyoubzadeh, S. M., Zahedi, H., Ahmadi, M., & Kalhori, S. R. N. (2020). Predicting COVID-19 incidence through analysis of google trends data in iran: data mining and deep learning pilot study. JMIR public health and surveillance, 6(2), e18828. https://doi.org/10.2196/18828
  • Baum, A., Fleming, R., & Singer, J. E. (1983). Coping with victimization by technological disaster. Journal of Social issues, 39(2), 117-138. https://doi.org/10.1111/j.1540-4560.1983.tb00144.x
  • Briceno, S. (2008). International strategy for disaster reduction. In the future of drylands (pp. 25- 28). Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6970-3_8
  • Carter, W. N. (2008). Disaster management: A disaster manager's handbook. https://www.thinkasia.org/bitstream/handle/11540/5035/disaster-management-handbook.pdf?sequence=1
  • Centre for Research on the Epidemiology of Disasters (CRED). (2021). Disaster Year in Review 2022. https://www.emdat.be/
  • Chandrasekhar, D. (2012). Digging deeper: participation and non-participation in post-disaster community recovery. Community Development, 43(5), 614-629. https://doi.org/10.1080/15575330.2012.730538
  • Chang, S. E., Yip, J. Z., van Zijll de Jong, S. L., Chaster, R., & Lowcock, A. (2015). Using vulnerability indicators to develop resilience networks: A similarity approach. Natural Hazards, 78(3), 1827-1. https://doi.org/10.1007/s11069-015-1803-x
  • Charvériat, C. (2000). Natural disasters in Latin America and the Caribbean: An overview of risk. https://doi.org/10.2139/ssrn.1817233
  • Chisty, M. A., Muhtasim, M., Biva, F. J., Dola, S. E. A., & Khan, N. A. (2022). Sendai Framework for Disaster Risk Reduction (SFDRR) and disaster management policies in Bangladesh: How far we have come to make communities resilient? International Journal of Disaster Risk Reduction, 103039. https://doi.org/10.1016/j.ijdrr.2022.103039
  • Cıty Of Albuquerque. (2022, Nisan). Before, during, and after a wildfire. https://www.cabq.gov/fire/safety-information/wildfire-safety/before-during-and-after-awildfire
  • Choi, H., & Varian, H. (2012). Predicting the present with Google Trends. Economic record, 88, 2- 9. https://doi.org/10.1111/j.1475-4932.2012.00809.x
  • Curato, N. (2018). From authoritarian enclave to deliberative space: governance logics in post‐ disaster reconstruction. Disasters, 42(4), 635-654. https://doi.org/10.1111/disa.12280
  • EM-DAT (t.y.). Guidelines. https://www.emdat.be/guidelines
  • Genç, F. N. (2007). Türkiye’de doğal afetler ve doğal afetlerde risk yönetimi. Stratejik Araştırmalar Dergisi, 9(5), 201-226.
  • Ghawana, T., Pashova, L., & Zlatanova, S. (2021). Geospatial data utilisation in national disaster management frameworks and the priorities of multilateral disaster management frameworks: case studies of India and Bulgaria. ISPRS International Journal of GeoInformation, 10(9), 610. https://doi.org/10.3390/ijgi10090610
  • Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., ...& Griffith, S. A. (2015). Social media and disasters: a functional framework for social media use in disaster planning, response, and research. Disasters, 39(1), 1-22. https://doi.org/10.1111/disa.12092
  • IFRC. (t.y.). What is a disaster? https://www.ifrc.org/what-disaster
  • Jun, S. P., Yoo, H. S., & Choi, S. (2018). Ten years of research change using Google Trends: From the perspective of big data utilizations and applications. Technological forecasting and social change, 130, 69-87. https://doi.org/10.1016/j.techfore.2017.11.009
  • Kanbara, S., Ozawa, W., Ishimine, Y., Ngatu, N. R., Nakayama, Y., & Nojima, S. (2016). Operational definition of disaster risk-reduction literacy. Health Emergency and Disaster Nursing, 3(1), 1-8. https://doi.org/10.24298/hedn.2014-0016
  • Kadıoğlu, M. (2008). Modern, bütünleşik afet yönetimin temel ilkeleri. Afet Zararlarini Azaltmanin Temel İlkeleri. JICA. https://www.researchgate.net/profile/MikdatKadioglu/publication/258108841_AFET_ZARARLARINI_AZALTMANIN_TEMEL_ILK ELERI/links/02e7e526fa88ae4623000000/AFET-ZARARLARINI-AZALTMANINTEMEL-ILKELERI.pdf
  • Keim, M. E., & Noji, E. (2011). Emergent use of social media: a new age of opportunity for disaster resilience. American journal of disaster medicine, 6(1), 47-54. https://doi.org/10.5055/ajdm.2011.0044
  • Khoury, M. J., & Ioannidis, J. P. (2014). Big data meets public health. Science, 346(6213), 1054- 1055. https://doi.org/10.1126/science.aaa2709
  • Kim, J., & Hastak, M. (2018). Social network analysis: Characteristics of online social networks after a disaster. International journal of information management, 38(1), 86-96. https://doi.org/10.1016/j.ijinfomgt.2017.08.003
  • Linkov, F., Ardalan, A., Hennon, M., Shubnikov, E., Serageldin, I., & LaPorte, R. (2010). Using Google trends to assess interest in disasters. Prehospital and disaster medicine, 25(5), 482- 484. https://doi.org/10.1017/S1049023X00008608
  • Liu, Y., Peng, G., Hu, L., Dong, J., & Zhang, Q. (2019). Using Google trends and Baidu index to analyze the impacts of disaster events on company stock prices. Industrial Management & Data Systems. https://doi.org/10.1108/IMDS-03-2019-0190
  • Marx, S., Barbeito, G., Fleming, K., Petrovic, B., Pickl, S., Thieken, A., & Zeidler, M. (2017). Synthesis report on disaster risk reduction and climate change adaptation in Germany. DKKVSchriftenreihe, Enhancing Synergies for Disaster Prevention in the European Union; German Committee for Disaster Reduction Enhancing Synergies for disaster Prevention in the EurOpean Union. Bonn.
  • Mavi, E. E. (2020). Afet kriz yönetiminde medya: 30 Ekim 2020 İzmir depremi. Karadeniz Teknik Üniversitesi İletişim Araştırmaları Dergisi, 10(2), 31-53.
  • Mavragani, A., & Ochoa, G. (2019). Google Trends in infodemiology and infoveillance: methodology framework. JMIR public health and surveillance, 5(2). https://doi.org/10.2196/13439
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Google Trend Özelinde Kullanıcıların Afetlere Yönelik İlgi Düzeylerinin Belirlenmesi

Yıl 2022, Cilt , Sayı 13, 96 - 118, 25.12.2022
https://doi.org/10.21733/ibad.1105973

Öz

Afetler, toplumların kendi kaynakları ile baş edemeyecekleri durumlardır. Dolayısıyla afetlere hazırlıkla toplum kapasitesinin artırılması germektedir. Toplumların kırılganlık düzeyleri tespit edilerek afet hazırlık planlarına dâhil edilmesi toplumsal kapasitenin artırılması açısından önemlidir. Toplumların afet eğitimlerine ve alanına yönelik ilgi düzeylerinin afetlere hazırlanma noktasında önemli bir paydaya sahip olduğu düşünülmektedir. Gerçekleştirilen bu çalışmada da; afetle ilgili seçilmiş bazı anahtar kelimeler üzerinden toplumun ilgili düzeyi belirlenmeye çalışılmıştır. Çalışmada; genel olarak kullanıcıların ilgi düzeyini yaygın olarak belirleyebilecek “Deprem”, “Deprem Duası”, “Deprem Toplanma Alanı”, “Çök-Kapan-Tutun”, “Deprem Anında Ne Yapılmalı”, “Deprem Çantasında Neler Olmalı” gibi anahtar kelimelerle sorgulama yapılmıştır. İlgili kelimelerin yoğunlukta trend olduğu dönemlerin depremlerin yaşandığı dönemlere gelmesi dikkat çekici bir nokta olarak belirlenmiştir. Ayrıca eğitim faaliyetlerinin düzenlediği haftalarda da bazı kelimelerin trend olduğu saptanmıştır. Sonuç olarak; toplumların genel olarak olay esnasında ve sonrasında ilgili konulara daha duyarlıklı oldukları söylenebilir. Ancak afet zararlarının en aza indirgenebilmesi için afet öncesi hazırlık çalışmalarına daha fazla ilgi gösterilmesi gerektiği açıktır. Bu bağlamda afet öncesi hazırlık faaliyetlerinin topyekûn gerçekleştirilmesinin dirençliliği artıracağı ifade edilebilir.

Kaynakça

  • Abid, S. K., Sulaiman, N., Chan, S. W., Nazir, U., Abid, M., Han, H., & Vega-Muñoz, A. (2021). Toward an integrated disaster management approach: How artificial intelligence can boost disaster management. Sustainability, 13(22), 12560.
  • AFAD. (2014). Afet ve Acil Durum Başkanlığı. Açıklamalı Afet Yönetimi Terimleri Sözlüğü. https://www.afad.gov.tr/kitaplar
  • AFAD. (2018a). Heyelanlara Karşı Alınacak Önlemler. https://www.afad.gov.tr/deprem-oncesi-anive-sonrasi-alabileceginiz-onlemleri-biliyormusunuz#:~:text=Acil%20durum%20%C3%A7antan%C4%B1z%C4%B1%20yan%C4%B 1n%C4%B1za%20al%C4%B1n,sonra%20mutlaka%20art%C3%A7%C4%B1%20depremle r%20olur
  • AFAD. (2018b). Deprem Öncesi, Anı Ve Sonrası Alabileceğiniz Önlemleri Biliyor Musunuz?. https://www.afad.gov.tr/heyelanlara-karsi-alinacakonlemler#:~:text=Gerekiyorsa%20tehlikeli%20b%C3%B6lgeden%20uzakla%C5%9Farak %20kendinizi,Fener%20kulan%C4%B1n
  • AFAD. (2019). Marmara Denizi, Silivri Açıkları (İstanbul)Mw 5.8depremine İlişkin ön Değerlendirme Raporu. https://deprem.afad.gov.tr/downloadDocument?id=1822
  • AFAD. (2020). 24 Ocak 2020 Elazığ Depremi. https://deprem.afad.gov.tr/tarihteBuAy?id=79
  • AFAD. (2021a). 1-7 Mart Deprem Haftası’nı Hazırlık İle Değerlendirin-Basın Bülteni. https://www.afad.gov.tr/1-7-mart-deprem-haftasini-hazirlik-ile-degerlendirin
  • AFAD. (2021b). 28 Şubat Sivil Savunma Günü. https://www.afad.gov.tr/28-subat-sivil-savunmagunu
  • AFAD. (t.y.a). Afet Toplanma Alanları. https://afet.tekirdag.bel.tr/gecici_toplanma_alanlari
  • AFAD. (t.y.b). Deprem. https://www.afad.gov.tr/afadem/deprem
  • AFAD. (t.y.c). Sel. https://www.afad.gov.tr/afadem/sel
  • Avcı, K. (2021). Türkiye’de COVID-19 ile ilgili web arama davranışlarının incelenmesi: Google trendleri kullanan bir dijital epidemiyoloji çalışması. Türk Hijyen ve Deneysel Biyoloji Dergisi, 78(2), 133-146.
  • Ayyoubzadeh, S. M., Ayyoubzadeh, S. M., Zahedi, H., Ahmadi, M., & Kalhori, S. R. N. (2020). Predicting COVID-19 incidence through analysis of google trends data in iran: data mining and deep learning pilot study. JMIR public health and surveillance, 6(2), e18828. https://doi.org/10.2196/18828
  • Baum, A., Fleming, R., & Singer, J. E. (1983). Coping with victimization by technological disaster. Journal of Social issues, 39(2), 117-138. https://doi.org/10.1111/j.1540-4560.1983.tb00144.x
  • Briceno, S. (2008). International strategy for disaster reduction. In the future of drylands (pp. 25- 28). Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6970-3_8
  • Carter, W. N. (2008). Disaster management: A disaster manager's handbook. https://www.thinkasia.org/bitstream/handle/11540/5035/disaster-management-handbook.pdf?sequence=1
  • Centre for Research on the Epidemiology of Disasters (CRED). (2021). Disaster Year in Review 2022. https://www.emdat.be/
  • Chandrasekhar, D. (2012). Digging deeper: participation and non-participation in post-disaster community recovery. Community Development, 43(5), 614-629. https://doi.org/10.1080/15575330.2012.730538
  • Chang, S. E., Yip, J. Z., van Zijll de Jong, S. L., Chaster, R., & Lowcock, A. (2015). Using vulnerability indicators to develop resilience networks: A similarity approach. Natural Hazards, 78(3), 1827-1. https://doi.org/10.1007/s11069-015-1803-x
  • Charvériat, C. (2000). Natural disasters in Latin America and the Caribbean: An overview of risk. https://doi.org/10.2139/ssrn.1817233
  • Chisty, M. A., Muhtasim, M., Biva, F. J., Dola, S. E. A., & Khan, N. A. (2022). Sendai Framework for Disaster Risk Reduction (SFDRR) and disaster management policies in Bangladesh: How far we have come to make communities resilient? International Journal of Disaster Risk Reduction, 103039. https://doi.org/10.1016/j.ijdrr.2022.103039
  • Cıty Of Albuquerque. (2022, Nisan). Before, during, and after a wildfire. https://www.cabq.gov/fire/safety-information/wildfire-safety/before-during-and-after-awildfire
  • Choi, H., & Varian, H. (2012). Predicting the present with Google Trends. Economic record, 88, 2- 9. https://doi.org/10.1111/j.1475-4932.2012.00809.x
  • Curato, N. (2018). From authoritarian enclave to deliberative space: governance logics in post‐ disaster reconstruction. Disasters, 42(4), 635-654. https://doi.org/10.1111/disa.12280
  • EM-DAT (t.y.). Guidelines. https://www.emdat.be/guidelines
  • Genç, F. N. (2007). Türkiye’de doğal afetler ve doğal afetlerde risk yönetimi. Stratejik Araştırmalar Dergisi, 9(5), 201-226.
  • Ghawana, T., Pashova, L., & Zlatanova, S. (2021). Geospatial data utilisation in national disaster management frameworks and the priorities of multilateral disaster management frameworks: case studies of India and Bulgaria. ISPRS International Journal of GeoInformation, 10(9), 610. https://doi.org/10.3390/ijgi10090610
  • Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., ...& Griffith, S. A. (2015). Social media and disasters: a functional framework for social media use in disaster planning, response, and research. Disasters, 39(1), 1-22. https://doi.org/10.1111/disa.12092
  • IFRC. (t.y.). What is a disaster? https://www.ifrc.org/what-disaster
  • Jun, S. P., Yoo, H. S., & Choi, S. (2018). Ten years of research change using Google Trends: From the perspective of big data utilizations and applications. Technological forecasting and social change, 130, 69-87. https://doi.org/10.1016/j.techfore.2017.11.009
  • Kanbara, S., Ozawa, W., Ishimine, Y., Ngatu, N. R., Nakayama, Y., & Nojima, S. (2016). Operational definition of disaster risk-reduction literacy. Health Emergency and Disaster Nursing, 3(1), 1-8. https://doi.org/10.24298/hedn.2014-0016
  • Kadıoğlu, M. (2008). Modern, bütünleşik afet yönetimin temel ilkeleri. Afet Zararlarini Azaltmanin Temel İlkeleri. JICA. https://www.researchgate.net/profile/MikdatKadioglu/publication/258108841_AFET_ZARARLARINI_AZALTMANIN_TEMEL_ILK ELERI/links/02e7e526fa88ae4623000000/AFET-ZARARLARINI-AZALTMANINTEMEL-ILKELERI.pdf
  • Keim, M. E., & Noji, E. (2011). Emergent use of social media: a new age of opportunity for disaster resilience. American journal of disaster medicine, 6(1), 47-54. https://doi.org/10.5055/ajdm.2011.0044
  • Khoury, M. J., & Ioannidis, J. P. (2014). Big data meets public health. Science, 346(6213), 1054- 1055. https://doi.org/10.1126/science.aaa2709
  • Kim, J., & Hastak, M. (2018). Social network analysis: Characteristics of online social networks after a disaster. International journal of information management, 38(1), 86-96. https://doi.org/10.1016/j.ijinfomgt.2017.08.003
  • Linkov, F., Ardalan, A., Hennon, M., Shubnikov, E., Serageldin, I., & LaPorte, R. (2010). Using Google trends to assess interest in disasters. Prehospital and disaster medicine, 25(5), 482- 484. https://doi.org/10.1017/S1049023X00008608
  • Liu, Y., Peng, G., Hu, L., Dong, J., & Zhang, Q. (2019). Using Google trends and Baidu index to analyze the impacts of disaster events on company stock prices. Industrial Management & Data Systems. https://doi.org/10.1108/IMDS-03-2019-0190
  • Marx, S., Barbeito, G., Fleming, K., Petrovic, B., Pickl, S., Thieken, A., & Zeidler, M. (2017). Synthesis report on disaster risk reduction and climate change adaptation in Germany. DKKVSchriftenreihe, Enhancing Synergies for Disaster Prevention in the European Union; German Committee for Disaster Reduction Enhancing Synergies for disaster Prevention in the EurOpean Union. Bonn.
  • Mavi, E. E. (2020). Afet kriz yönetiminde medya: 30 Ekim 2020 İzmir depremi. Karadeniz Teknik Üniversitesi İletişim Araştırmaları Dergisi, 10(2), 31-53.
  • Mavragani, A., & Ochoa, G. (2019). Google Trends in infodemiology and infoveillance: methodology framework. JMIR public health and surveillance, 5(2). https://doi.org/10.2196/13439
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Ayrıntılar

Birincil Dil Türkçe
Konular Sosyal
Bölüm Araştırma Makaleleri
Yazarlar

Galip USTA> (Sorumlu Yazar)
TRABZON ÜNİVERSİTESİ
0000-0001-6279-1694
Türkiye

Erken Görünüm Tarihi 2 Aralık 2022
Yayımlanma Tarihi 25 Aralık 2022
Yayınlandığı Sayı Yıl 2022, Cilt , Sayı 13

Kaynak Göster

APA Usta, G. (2022). Google Trend Özelinde Kullanıcıların Afetlere Yönelik İlgi Düzeylerinin Belirlenmesi . IBAD Sosyal Bilimler Dergisi , (13) , 96-118 . DOI: 10.21733/ibad.1105973

IBAD Sosyal Bilimler Dergisi / IBAD Journal of Social Sciences 


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