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EXAMINING THE CHANGES REGARDING “SPORTS AT HOME” IN THE FRAMEWORK OF YOUTUBE COMMENTS BEFORE AND DURING THE PANDEMIC

Year 2023, , 90 - 101, 30.12.2023
https://doi.org/10.33689/spormetre.1344831

Abstract

This study aims to reveal the difference between opinions of individuals who do sports at home by watching videos on YouTube, which gained popularity all over the world before and during the pandemic. In order to examine the change in subject of "sports at home" before and during the pandemic, the most watched "exercise" themed video titled "Do This Everyday to Lose Weight" was selected as data source and user comments were categorized thematically. To analyze data set, Mozdeh Big Data Text Analysis (2020) was used to collect user comments from videos and the number of interactions of these comments via API connection. Qualitative content analysis was used to analyze user comments. The themes were categorized as feedback as a result of regular participation, feedback to content creator, body image anxiety, being happy with body changes, insights focused on weight loss, motivation, challenge and struggle, barriers to participation, flow experience, health status reporting, leisure and enjoyment. It was determined that especially the groups of challenging and struggling, use of leisure time, enjoyment were the themes that received more interaction.

References

  • Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020). The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. The Lancet, 395(10227), 912-920. doi:10.1016/S0140-6736(20)30460-8
  • Carriedo, A., Cecchini, J. A., Fernandez-Rio, J., & Méndez-Giménez, A. (2020). COVID-19, psychological wellbeing and physical activity levels in older adults during the nationwide lockdown in Spain. The American Journal of Geriatric Psychiatry, 28(11), 1146-1155. doi:10.1016/j.jagp.2020.08.007
  • Chi, D., & Kim, S. (2021). Home training trend analysis using newspaper big data and keyword analysis. Journal of the Korean Convergence Society, 12(6), 233-239.
  • Çınar, F., & Oğuz, M. (2020). Türkiye’de COVID-19 pandemisine yönelik stratejilerin Swot analizi ile değerlendirilmesi. Sağlık ve Sosyal Refah Araştırmaları Dergisi, 2(2), 1-11.
  • Dey, B. L., Yen, D., & Samuel, L. (2020). Digital consumer culture and digital acculturation. International Journal of Information Management, 51(April), 102057. doi:10.1016/j.ijinfomgt.2019.102057
  • Ding, D., del Pozo Cruz, B., Green, M. A., & Bauman, A. E. (2020). Is the COVID-19 lockdown nudging people to be more active: A big data analysis. British Journal of Sports Medicine, 54(20), 1183-1184. doi: 10.1136/bjsports-2020-102575
  • Gilat, R., & Cole, B. J. (2020). COVID-19, medicine, and sports. arthroscopy, Sports Medicine and Rehabilitation, 2(3), e175-e176. doi:10.1016/j.asmr.2020.04.003
  • Hacıalioğlu, A., & Sağlam, M. (2021). COVID-19 pandemi sürecinde tüketici davranışları ve e-ticaretteki değişimler. Medya ve Kültürel Çalışmalar Dergisi, 3(1), 16-29.
  • Hammami, A., Harrabi, B., Mohr, M., & Krustrup, P. (2022). Physical activity and coronavirus disease 2019 (COVID-19): Specific recommendations for home-based physical training. Managing Sport and Leisure, 27(1), 26-31. doi:10.1080/23750472.2020.1757494
  • Jiménez-Pavón, D, Carbonell-Baeza, A, & Lavie, C. J. (2020). Physical exercise as therapy to fight against the mental and physical consequences of COVID-19 quarantine: Special focus in older people. Progress in Cardiovascular Diseases, 63(3), 386-388.
  • Kim, H. M., Kim, M., & Cho, I. (2023). Home-based workouts in the era of COVID-19 pandemic: The influence of fitness YouTubers' attributes on intentions to exercise. Internet Research, 33(3), 1157-1178.
  • Kim, H. M., & Kim, M. (2022). Viewership motivations of live game streaming via over-the-top apps: Measurement scale development and validation, International Journal of Human–Computer Interaction, 39(1), 1-14. doi:10.1080/10447318.2022.2074644
  • Kim, Y. J., & Kwak, K. H. (2021). Keyword Analysis of Home Training by Period Using Big Data. The Korean Society of Sports Science, 30(1), 103-115.
  • Kuş, O. (2022). İletişim çalışmalarında içerik analizi ve metin madenciliğinin kullanımı. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 51, 177-191. doi: 10.30794/pausbed.1099169
  • Lee, M. C., Lee, J. S., Han, D. İ., & Han, K. (2023). Changes in the perception of home training using text mining techniques: Comparison between before and after the COVID-19 pandemic. Journal of Health Informatics and Statistics, 48(1), 15-25. doi:10.21032/jhis.2023.48.1.15
  • Lim, M. A., & Pranata, R. (2021). Sports activities during any pandemic lockdown. Irish Journal of Medical Science, 190(1), 447-451.
  • MacKenzie, S. H., & Goodnow, J. (2020). Adventure in the age of COVID-19: Embracing microadventures and locavism in a post-pandemic world. Leisure Sciences, 43(2), 62-69. doi:10.1080/01490400.2020.1773984
  • Mattioli, A. V., Ballerini Puviani, M., Nasi, M., & Farinetti, A. (2020). COVID-19 pandemic: The effects of quarantine on cardiovascular risk. European Journal of Clinical Nutrition, 74(6), 852-855. doi:10.1038/s41430-020- 0646-z
  • Mozdeh Big Data Text Analysis (2020). Mozdeh Big Data Text Analysis. Mozdeh.wlv.ac.uk. Erişim tarihi: 20.01.2022.
  • Murphy Marcos, C. (2020). Coronavirus bingeing: YouTube trends show spike in every-day task tutorials, available at: https://www.usatoday.com/story/tech/2020/05/01/coronavirus-youtube-tasktutorials/3044564001/ (accessed 19 November 2023).
  • Mutz, M., Müller, J., & Reimers, A. K. (2021). Use of digital media for home-based sports activities during the COVID-19 pandemic: Results from the German SPOVID survey. International Journal of Environmental Research and Public Health, 18(9), 4409. doi:10.3390/ijerph18094409
  • Parker, K., Uddin, R., Ridgers, N. D., Brown, H., Veitch, J., Salmon, J., ..., & Arundell, L. (2021). The use of digital platforms for adults’ and adolescents’ physical activity during the COVID-19 pandemic (our life at home): Survey study. Journal of Medical Internet Research, 23(2). e23389. doi:https://www.jmir.org/2021/2/e23389
  • Sadıkoğlu, M. C. (2021). Türkiye’de Covid-19 pandemi sürecinde alınan tedbirler ve gerçekleştirilen spor organizasyonlarının incelenmesi. Yüksek Lisans Tezi. İstanbul Gelişim Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
  • Sivan, A. (2020). Reflection on leisure during COVID-19. World Leisure Journal, 62(4), 296-299. doi:10.1080/16078055.2020.1825260
  • Vancini, R. L., Viana, R., dos Santos Andrade, M., Andre Barbosa de Lira, C., Theodoros Nikolaidis, P., Aparecido de Almeida, A., & Knechtle, B. (2022). YouTube as a source of information about physical exercise during COVID-19 outbreak. International Journal of Sport Studies for Health, 4(2), e123312. doi:10.5812/intjssh.123312
  • Woods, J., Hutchinson, N. T., Powers, S. K., Roberts, W. O., Gomez-Cabrera, M. C., Radak, Z., ..., & Ji, L. L. (2020). The COVID-19 pandemic and physical activity. Sports Medicine and Health Science, 2(2), 55–64. doi:10.1016/j.smhs.2020.05.006
  • Ziyagil, M. A., & Nevruz, B. E. (2020). Google ve YouTube’da evde egzersiz, yürüyüş ve fitness terimlerinin Türkiye ve dünyada aranma oranlarına koronavirüs pandemisinin etkisi. 4. Uluslararası Sağlıklı Yaşam Kongresi bildiriler kitabı içinde (ss. 36). Online Kongre.

EXAMINING THE CHANGES REGARDING “SPORTS AT HOME” IN THE FRAMEWORK OF YOUTUBE COMMENTS BEFORE AND DURING THE PANDEMIC

Year 2023, , 90 - 101, 30.12.2023
https://doi.org/10.33689/spormetre.1344831

Abstract

This study aims to reveal the difference between opinions of individuals who do sports at home by watching videos on YouTube, which gained popularity all over the world before and during the pandemic. In order to examine the change in subject of "sports at home" before and during the pandemic, the most watched "exercise" themed video titled "Do This Everyday to Lose Weight" was selected as data source and user comments were categorized thematically. To analyze data set, Mozdeh Big Data Text Analysis (2020) was used to collect user comments from videos and the number of interactions of these comments via API connection. Qualitative content analysis was used to analyze user comments. The themes were categorized as feedback as a result of regular participation, feedback to content creator, body image anxiety, being happy with body changes, insights focused on weight loss, motivation, challenge and struggle, barriers to participation, flow experience, health status reporting, leisure and enjoyment. It was determined that especially the groups of challenging and struggling, use of leisure time, enjoyment were the themes that received more interaction.

References

  • Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020). The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. The Lancet, 395(10227), 912-920. doi:10.1016/S0140-6736(20)30460-8
  • Carriedo, A., Cecchini, J. A., Fernandez-Rio, J., & Méndez-Giménez, A. (2020). COVID-19, psychological wellbeing and physical activity levels in older adults during the nationwide lockdown in Spain. The American Journal of Geriatric Psychiatry, 28(11), 1146-1155. doi:10.1016/j.jagp.2020.08.007
  • Chi, D., & Kim, S. (2021). Home training trend analysis using newspaper big data and keyword analysis. Journal of the Korean Convergence Society, 12(6), 233-239.
  • Çınar, F., & Oğuz, M. (2020). Türkiye’de COVID-19 pandemisine yönelik stratejilerin Swot analizi ile değerlendirilmesi. Sağlık ve Sosyal Refah Araştırmaları Dergisi, 2(2), 1-11.
  • Dey, B. L., Yen, D., & Samuel, L. (2020). Digital consumer culture and digital acculturation. International Journal of Information Management, 51(April), 102057. doi:10.1016/j.ijinfomgt.2019.102057
  • Ding, D., del Pozo Cruz, B., Green, M. A., & Bauman, A. E. (2020). Is the COVID-19 lockdown nudging people to be more active: A big data analysis. British Journal of Sports Medicine, 54(20), 1183-1184. doi: 10.1136/bjsports-2020-102575
  • Gilat, R., & Cole, B. J. (2020). COVID-19, medicine, and sports. arthroscopy, Sports Medicine and Rehabilitation, 2(3), e175-e176. doi:10.1016/j.asmr.2020.04.003
  • Hacıalioğlu, A., & Sağlam, M. (2021). COVID-19 pandemi sürecinde tüketici davranışları ve e-ticaretteki değişimler. Medya ve Kültürel Çalışmalar Dergisi, 3(1), 16-29.
  • Hammami, A., Harrabi, B., Mohr, M., & Krustrup, P. (2022). Physical activity and coronavirus disease 2019 (COVID-19): Specific recommendations for home-based physical training. Managing Sport and Leisure, 27(1), 26-31. doi:10.1080/23750472.2020.1757494
  • Jiménez-Pavón, D, Carbonell-Baeza, A, & Lavie, C. J. (2020). Physical exercise as therapy to fight against the mental and physical consequences of COVID-19 quarantine: Special focus in older people. Progress in Cardiovascular Diseases, 63(3), 386-388.
  • Kim, H. M., Kim, M., & Cho, I. (2023). Home-based workouts in the era of COVID-19 pandemic: The influence of fitness YouTubers' attributes on intentions to exercise. Internet Research, 33(3), 1157-1178.
  • Kim, H. M., & Kim, M. (2022). Viewership motivations of live game streaming via over-the-top apps: Measurement scale development and validation, International Journal of Human–Computer Interaction, 39(1), 1-14. doi:10.1080/10447318.2022.2074644
  • Kim, Y. J., & Kwak, K. H. (2021). Keyword Analysis of Home Training by Period Using Big Data. The Korean Society of Sports Science, 30(1), 103-115.
  • Kuş, O. (2022). İletişim çalışmalarında içerik analizi ve metin madenciliğinin kullanımı. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 51, 177-191. doi: 10.30794/pausbed.1099169
  • Lee, M. C., Lee, J. S., Han, D. İ., & Han, K. (2023). Changes in the perception of home training using text mining techniques: Comparison between before and after the COVID-19 pandemic. Journal of Health Informatics and Statistics, 48(1), 15-25. doi:10.21032/jhis.2023.48.1.15
  • Lim, M. A., & Pranata, R. (2021). Sports activities during any pandemic lockdown. Irish Journal of Medical Science, 190(1), 447-451.
  • MacKenzie, S. H., & Goodnow, J. (2020). Adventure in the age of COVID-19: Embracing microadventures and locavism in a post-pandemic world. Leisure Sciences, 43(2), 62-69. doi:10.1080/01490400.2020.1773984
  • Mattioli, A. V., Ballerini Puviani, M., Nasi, M., & Farinetti, A. (2020). COVID-19 pandemic: The effects of quarantine on cardiovascular risk. European Journal of Clinical Nutrition, 74(6), 852-855. doi:10.1038/s41430-020- 0646-z
  • Mozdeh Big Data Text Analysis (2020). Mozdeh Big Data Text Analysis. Mozdeh.wlv.ac.uk. Erişim tarihi: 20.01.2022.
  • Murphy Marcos, C. (2020). Coronavirus bingeing: YouTube trends show spike in every-day task tutorials, available at: https://www.usatoday.com/story/tech/2020/05/01/coronavirus-youtube-tasktutorials/3044564001/ (accessed 19 November 2023).
  • Mutz, M., Müller, J., & Reimers, A. K. (2021). Use of digital media for home-based sports activities during the COVID-19 pandemic: Results from the German SPOVID survey. International Journal of Environmental Research and Public Health, 18(9), 4409. doi:10.3390/ijerph18094409
  • Parker, K., Uddin, R., Ridgers, N. D., Brown, H., Veitch, J., Salmon, J., ..., & Arundell, L. (2021). The use of digital platforms for adults’ and adolescents’ physical activity during the COVID-19 pandemic (our life at home): Survey study. Journal of Medical Internet Research, 23(2). e23389. doi:https://www.jmir.org/2021/2/e23389
  • Sadıkoğlu, M. C. (2021). Türkiye’de Covid-19 pandemi sürecinde alınan tedbirler ve gerçekleştirilen spor organizasyonlarının incelenmesi. Yüksek Lisans Tezi. İstanbul Gelişim Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
  • Sivan, A. (2020). Reflection on leisure during COVID-19. World Leisure Journal, 62(4), 296-299. doi:10.1080/16078055.2020.1825260
  • Vancini, R. L., Viana, R., dos Santos Andrade, M., Andre Barbosa de Lira, C., Theodoros Nikolaidis, P., Aparecido de Almeida, A., & Knechtle, B. (2022). YouTube as a source of information about physical exercise during COVID-19 outbreak. International Journal of Sport Studies for Health, 4(2), e123312. doi:10.5812/intjssh.123312
  • Woods, J., Hutchinson, N. T., Powers, S. K., Roberts, W. O., Gomez-Cabrera, M. C., Radak, Z., ..., & Ji, L. L. (2020). The COVID-19 pandemic and physical activity. Sports Medicine and Health Science, 2(2), 55–64. doi:10.1016/j.smhs.2020.05.006
  • Ziyagil, M. A., & Nevruz, B. E. (2020). Google ve YouTube’da evde egzersiz, yürüyüş ve fitness terimlerinin Türkiye ve dünyada aranma oranlarına koronavirüs pandemisinin etkisi. 4. Uluslararası Sağlıklı Yaşam Kongresi bildiriler kitabı içinde (ss. 36). Online Kongre.
There are 27 citations in total.

Details

Primary Language English
Subjects Physical Activity and Health
Journal Section Research Article
Authors

Müge Akyıldız Munusturlar 0000-0002-1386-4014

Edanur Yolcu 0009-0000-1086-3019

Yeliz Erdoğan 0009-0006-8466-8914

Early Pub Date December 28, 2023
Publication Date December 30, 2023
Published in Issue Year 2023

Cite

APA Akyıldız Munusturlar, M., Yolcu, E., & Erdoğan, Y. (2023). EXAMINING THE CHANGES REGARDING “SPORTS AT HOME” IN THE FRAMEWORK OF YOUTUBE COMMENTS BEFORE AND DURING THE PANDEMIC. SPORMETRE Beden Eğitimi Ve Spor Bilimleri Dergisi, 21(4), 90-101. https://doi.org/10.33689/spormetre.1344831

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