TY  - JOUR
T1  - COVID-19 PANDEMİSİ VE ÖNCESİNDE HALKIN FARKLI DUYGU DURUM İFADELERİNE İLGİSİNİN GOOGLE TRENDLER ÜZERİNDEN ANALİZİ
TT  - Analysis of Public Interest in Different Emotional State Expressions During and Before the COVID-19 Pandemic Using Google Trends
AU  - Gündüz Hoşgör, Derya
AU  - Güngördü, Hacer
AU  - Hoşgör, Haydar
PY  - 2023
DA  - July
Y2  - 2023
DO  - 10.33723/rs.1303402
JF  - R&S - Research Studies Anatolia Journal
PB  - Arif YILDIZ
WT  - DergiPark
SN  - 2630-6441
SP  - 267
EP  - 282
VL  - 6
IS  - 3
LA  - tr
AB  - Bu çalışmanın temel amacı Covid-19 pandemisi sırasında ve öncesinde halkın farklı duygu durum ifadelerine yönelik ilgisinde istatistiki olarak anlamlı bir farklılık olup olmadığının incelenmesidir. Çalışmanın verileri ücretsiz ve halka açık bir veri tabanı olan Google Trendler’den elde edilmiştir. Covid-19 öncesi dönemi için Mart 2019-2020 yıl aralığı, pandemi dönemi içinse Mart 2020-2021 dönemi referans alınmış ve 25 adet arama terimi taranmıştır. Tarama işlemi yapılırken Türkiye ve tüm kategoriler seçilerek aramalar yoğunlaştırılmıştır. 20-23 Şubat 2023 tarihleri arasında toplanan verilerin analizinde Student’s t-testi kullanılmıştır. Pandemi öncesi dönemde en fazla arama hacmi ortalamasına sahip olan ilk üç terimin sırayla “ölüm” (81,6), “anksiyete” (79,0), “depresyon” (74,4); pandemi dönemindekilerin ise sırayla “halüsinasyon” (66,9), “anksiyete” (64,9) ve “öfke” (54,9) olduğu saptanmıştır. “Melankoli”, “belirsizlik”, “paranoya” ve “halüsinasyon” terimlerinin Google’da aranma sıklıklarının Covid-19 pandemisi döneminde istatistiki olarak anlamlı derecede (p
KW  - Covid-19
KW  - Pandemi
KW  - Google Trendler
KW  - Duygu Durumu
KW  - Türkiye
N2  - The main objective of this study is to examine whether there is a statistically significant difference in the public's interest in different emotional expressions during and before the Covid-19 pandemic. Data for the study was obtained from Google Trends, a publicly available database. The pre-pandemic period was set from March 2019-2020, and the pandemic period was set from March 2020-2021. 25 search terms related to emotional expressions were scanned, and searches were focused in Turkey across all categories. Student's t-test was used for data analysis collected between February 20-23, 2023. The top three search terms with the highest average search volume during the pre-pandemic period were "death" (81.6), "anxiety" (79.0), and "depression" (74.4), respectively. During the pandemic period, the top three were "hallucination" (66.9), "anxiety" (64.9), and "anger" (54.9), respectively. It was found that the search frequencies of the terms "melancholy", "uncertainty", "paranoia", and "hallucination" on Google increased significantly (p
CR  - Adams-Prassl, A., Boneva, T., Golin, M., & Rauh, C. (2022). The impact of the coronavirus lockdown on mental health: evidence from the United States. Economic Policy, 37(109), 139-155. https://doi.org/10.1093/epolic/eiac002
CR  - 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. https://dx.doi.org/10.5505/TurkHijyen.2021.48991
CR  - Brodeur, A., Clark, A. E., Fleche, S., & Powdthavee, N. (2021). COVID-19, lockdowns and well-being: Evidence from Google Trends. Journal of Public Economics, 193, 104346. https://doi.org/10.1016/j.jpubeco.2020.104346
CR  - Chintalapudi, N., Battineni, G., & Amenta, F. (2021). Sentimental analysis of COVID-19 tweets using deep learning models. Infectious Disease Reports, 13(2), 329-339. https://doi.org/10.3390/idr13020032
CR  - Dubey, S., Biswas, P., Ghosh, R., Chatterjee, S., Dubey, M. J., Chatterjee, S., ... & Lavie, C. J. (2020). Psychosocial impact of COVID-19. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 779-788. https://doi.org/10.1016/j.dsx.2020.05.035
CR  - Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., ... & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. Plos One, 15(4), e0231924. https://doi.org/10.1371/journal.pone.0231924
CR  - Gianfredi, V., Provenzano, S., & Santangelo, O. E. (2021). What can internet users' behaviours reveal about the mental health impacts of the COVID-19 pandemic? A systematic review. Public Health, 198, 44-52. https://doi.org/10.1016/j.puhe.2021.06.024
CR  - Hagen, D., Lai, A. Y., & Goldmann, E. (2022). Trends in negative emotions throughout the COVID-19 pandemic in the United States. Public Health, 212, 4-6. https://doi.org/10.1016/j.puhe.2022.08.009
CR  - Hoerger, M., Alonzi, S., Perry, L. M., Voss, H. M., Easwar, S., & Gerhart, J. I. (2020). Impact of the COVID-19 pandemic on mental health: Real-time surveillance using Google Trends. Psychological Trauma: Theory, Research, Practice, and Policy, 12(6), 567-568. https://psycnet.apa.org/doi/10.1037/tra0000872
CR  - Kristoufek, L., Moat, H. S., & Preis, T. (2016). Estimating suicide occurrence statistics using Google Trends. EPJ data science, 5, 1-12. http://dx.doi.org/10.1140/epjds/s13688-016-0094-0
CR  - Li, X., Zhou, M., Wu, J., Yuan, A., Wu, F., & Li, J. (2020). Analyzing COVID-19 on online social media: Trends, sentiments and emotions. ArXiv Preprint ArXiv:2005.14464. https://doi.org/10.48550/arXiv.2005.14464
CR  - Lwin, M. O., Lu, J., Sheldenkar, A., Schulz, P. J., Shin, W., Gupta, R., & Yang, Y. (2020). Global sentiments surrounding the COVID-19 pandemic on Twitter: analysis of Twitter trends. JMIR Public Health and Surveillance, 6(2), e19447. https://doi.org/10.2196/19447
CR  - Niederkrotenthaler, T., Fu, K. W., Yip, P. S., Fong, D. Y., Stack, S., Cheng, Q., & Pirkis, J. (2012). Changes in suicide rates following media reports on celebrity suicide: A meta-analysis. Journal of Epidemiol Community Health, 66(11), 1037-1042. http://dx.doi.org/10.1136/jech-2011-200707
CR  - Pfefferbaum, B., & North, C. S. (2020). Mental health and the Covid-19 pandemic. New England Journal of Medicine, 383(6), 510-512. https://doi.org/10.1056/NEJMp2008017
CR  - Rogers, J. P., Chesney, E., Oliver, D., Pollak, T. A., McGuire, P., Fusar-Poli, P., ... & David, A. S. (2020). Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: A systematic review and meta-analysis with comparison to the COVID-19 pandemic. The Lancet Psychiatry, 7(7), 611-627. https://doi.org/10.1016/S2215-0366(20)30203-0
CR  - Southwick, L., Guntuku, S. C., Klinger, E. V., Seltzer, E., McCalpin, H. J., & Merchant, R. M. (2021). Characterizing COVID-19 content posted to TikTok: public sentiment and response during the first phase of the COVID-19 pandemic. Journal of Adolescent Health, 69(2), 234-241. https://doi.org/10.1016/j.jadohealth.2021.05.010
CR  - Taquet, M., Geddes, J. R., Husain, M., Luciano, S., & Harrison, P. J. (2021). 6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: A retrospective cohort study using electronic health records. The Lancet Psychiatry, 8(5), 416-427. https://doi.org/10.1371/journal.pmed.1003773
CR  - Ü. Dörttepe, Z., Hoşgör, H., & Sağcan, H. (2021). The effect of COVID-19 phobia on perceived stress: The sample of prehospital emergency care professionals. Journal of Academic Value Studies, 7(1), 31-40. https://doi.org/10.29228/javs.49250
CR  - Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. International Journal of Environmental Research and Public Health, 17(5), 1729. https://doi.org/10.3390/ijerph17051729
CR  - Wang, J., Fan, Y., Palacios, J., Chai, Y., Guetta-Jeanrenaud, N., Obradovich, N., ... & Zheng, S. (2022). Global evidence of expressed sentiment alterations during the COVID-19 pandemic. Nature Human Behaviour, 6(3), 349-358. https://doi.org/10.1038/s41562-022-01312-y
CR  - Xiong, J., Lipsitz, O., Nasri, F., Lui, L. M., Gill, H., Phan, L., ... & McIntyre, R. S. (2020). Impact of COVID-19 pandemic on mental health in the general population: A systematic review. Journal of Affective Disorders, 277, 55-64. https://doi.org/10.1016/j.jad.2020.08.001
UR  - https://doi.org/10.33723/rs.1303402
L1  - https://dergipark.org.tr/tr/download/article-file/3168920
ER  -