Phân tích các kênh truyền thông xã hội có thể hỗ trợ nhà chức trách trong quyết định liên quan đến chính sách đại dịch như thế nào? Những thông tin từ các tiểu bang và lãnh thổ của Úc

Health Information Science and Systems - Tập 8 - Trang 1-21 - 2020
Tan Yigitcanlar1, Nayomi Kankanamge1, Alexander Preston1, Palvinderjit Singh Gill1, Maqsood Rezayee2, Mahsan Ostadnia3, Bo Xia1, Giuseppe Ioppolo4
1School of Built Environment, Queensland University of Technology, Brisbane, Australia
2Department of Architecture, Nangarhar University, Jalalabad, Afghanistan
3Department of Urban Planning, Islamic Azad University, Tehran, Iran
4Department of Economics, University of Messina, Messina, Italy

Tóm tắt

Do COVID-19, nhiều quốc gia đã áp đặt lệnh phong tỏa và hạn chế hoạt động của công dân. Những hạn chế này đã kích thích việc sử dụng công nghệ và nền tảng số bởi công chúng. Điều này mang đến cơ hội cho các nhà chức trách nắm bắt được nhận thức của công chúng về COVID-19 từ các kênh truyền thông xã hội để đưa ra các quyết định có cơ sở. Tuy nhiên, việc sử dụng phân tích truyền thông xã hội trong các đại dịch để ra quyết định vẫn là một lĩnh vực nghiên cứu chưa được chú ý nhiều. Do đó, nghiên cứu này nhằm tạo ra cái nhìn sâu sắc về việc phân tích truyền thông xã hội có thể hỗ trợ các nhà chức trách trong việc đưa ra quyết định chính sách liên quan đến đại dịch như thế nào. Nghiên cứu này áp dụng phương pháp phân tích truyền thông xã hội—tức là, phân tích geo-Twitter hệ thống—bao gồm phân tích mô tả, nội dung, cảm xúc và không gian. Các tiểu bang và lãnh thổ của Úc được chọn làm bối cảnh nghiên cứu thực nghiệm. Nghiên cứu đã thu thập 96,666 tweet có gắn địa lý (xuất phát từ Úc từ ngày 1 tháng 1 đến ngày 4 tháng 5 năm 2020), và phân tích 35,969 trong số đó sau khi làm sạch dữ liệu. Các phát hiện cho thấy: (a) Phân tích truyền thông xã hội là một cách tiếp cận hiệu quả để nắm bắt thái độ và nhận thức của công chúng trong thời gian đại dịch; (b) Dữ liệu truyền thông xã hội được thu thập từ đám đông có thể hướng dẫn các can thiệp và quyết định của các nhà chức trách trong thời gian đại dịch, và; (c) Việc sử dụng hiệu quả các kênh truyền thông xã hội của chính phủ có thể giúp công chúng tuân theo các biện pháp/hạn chế đã được đưa ra. Các phát hiện này rất có giá trị cho các nhà chức trách nhằm hiểu được nhận thức của cộng đồng và xác định các cộng đồng có nhu cầu và yêu cầu trong tình huống đại dịch, khi mà các nhà chức trách không thể tiến hành tham vấn công khai trực tiếp và kéo dài.

Từ khóa

#COVID-19 #phân tích truyền thông xã hội #quyết định chính sách #đại dịch #nhận thức cộng đồng

Tài liệu tham khảo

Qiu W, Rutherford S, Mao A, Chu C. The pandemic and its impacts. Health Cult Soc. 2017;9:1–11. Reshadat S, Zangeneh A, Saeidi S, Teimouri R, Yigitcanlar T. Measures of spatial accessibility to health centers: investigating urban and rural disparities in Kermanshah. Iran J Public Health. 2019;27(1):519–29. Saunders-Hastings PR, Krewski D. Reviewing the history of pandemic influenza: understanding patterns of emergence and transmission. Pathogens. 2016;5(4):66. Tumpey TM, Basler CF, Aguilar PV, Zeng H, Solórzano A, Swayne DE, Garcia-Sastre A. Characterization of the reconstructed 1918 Spanish influenza pandemic virus. Science. 2005;310(5745):77–80. WHO. Strengthening and adjusting public health measures throughout the COVID-19 transition phases: policy considerations for the World Health Organization European Region. Copenhagen: World Health Organization. Regional Office for Europe; 2020. Worldometer. COVID-19 Coronavirus pandemic.https://www.worldometers.info/coronavirus (2020). Accessed 1 July 2020. Zhang Y, Xiao M, Zhang S, Xia P, Cao W, Jiang W, Wang C. Coagulopathy and antiphospholipid antibodies in patients with Covid-19. N Engl J Med. 2020;382(17):e38. Ling GH, Chyong Ho CM. Effects of the coronavirus (COVID-19) pandemic on social behaviors: from a social dilemma perspective. Tech Soc Sci J. 2020;7:312–20. Daneshpour ZA: Out of the coronavirus crisis, a new kind of urban planning must be born. https://novinshahrsaz.ir/wp-content/uploads/2020/04/Out_of_the_coronavirus_crisis_a_new_kind_of_urban_planning_must.pdf (2020). Accessed 30 June 2020. Honey-Roses JH, Anguelovski I, Bohigas J, Chireh V, Daher C, Konijnendijk C, Litt J, Mawani J, McCall M, Orellana A, Oscilowicz E, Sanchez U, Senbe M, Tan X, Villagomez E, Zapata O, Nieuwenhuijsen M: The Impact of COVID-19 on Public Space: a Review of the Emerging Questions. https://doi.org/10.31219/osf.io/rf7xa (2020). Accessed 25 June 2020. Newman P. Covid, cities and climate: historical precedents and potential transitions for the new economy. Urban Sci. 2020;4(3):32. Statista: Mobility in cities amid coronavirus crisis 2020. https://www.statista.com/statistics/1106798/change-in-traffic-volume-amid-coronaviruscrisis-selected-cities (2020). Accessed 25 June 2020. Jones CJ, Philippon T, Venkateswaran V. Optimal mitigation policies in a pandemic: social distancing and working from home. https://www.nber.org/papers/w26984 (2020). Accessed 1 July 2020. Shenker J. Cities after coronavirus: how COVID-19 could radically alter urban life. https://www.theguardian.com/world/2020/mar/26/life-after-coronavirus-pandemic-change-world (2020). Accessed 25 June 2020. Alzahrani H. Social media analytics using data mining. Glob J Comput Sci Technol. 2016;16(4):16–9. Brooker P, Barnett J, Cribbin T. Doing social media analytics. Big Data Soc. 2016;3(2):2053951716658060. Sebei H, Taieb MA, Aouicha MB. Review of social media analytics process and big data pipeline. Soc Netw Anal Min. 2018;8(1):30. Reshadat S, Tohidi M, Ghasemi M, Zangeneh A, Saeidi S, Teimouri R, Yigitcanlar T. Interrelationship between underprivileged neighborhoods and health promotion lifestyles: insights from Kermanshah, Iran. J Public Health. 2019. https://doi.org/10.1007/s10389-019-01086-0. Chowell G, Viboud C, Hyman JM, Simonsen L. The Western Africa ebola virus disease epidemic exhibits both global exponential and local polynomial growth rates. PLoS Curr. 2015;7:3261. Fraser C, Riley S, Anderson RM, Ferguson NM. Factors that make an infectious disease outbreak controllable. Proc Natl Acad Sci. 2004;101(16):6146–51. Rochester Regional Health. Pandemic vs Epidemic: what's the difference? https://www.rochesterregional.org/news/2020/03/pandemic-vs-epidemic (2020). Accessed 25 June 2020. Bharat D. COVID-19: the four stages of disease transmission explained. https://www.netmeds.com/health-library/post/covid-19-the-4-stages-of-disease-transmission-explained (2020). Accessed 25 June 2020. Wade A. COVID -19 coronavirus alert level 2: NZ lockdown debate, more help for firms as global deaths soar past 13,500. https://www.nzherald.co.nz/nz/news/article.cfm?c_id=1&objectid=12318890 (2020). Accessed 2 July 2020. Gavin K. Flattening the curve for COVID-19: what does it mean and how can you help? https://healthblog.uofmhealth.org/wellness-prevention/flattening-curve-for-covid-19-what-does-it-mean-and-how-can-you-help (2020). Accessed 25 June 2020. Hu R. Reinventing community in COVID-19: a case in Canberra, Australia. Soc-Ecol Pract Res. 2020. https://doi.org/10.1007/s42532-020-00055-2. Department of Health. Easing of coronavirus (COVID-19) restrictions. https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-restrictions/easing-of-coronavirus-covid-19-restrictions (2020). Accessed 25 June 2020. Wargent P. Miraculous improvement in COVID-19 cases. https://www.propertyobserver.com.au/pete-wargent/112767-miraculous-improvement-in-covid-19-cases-pete-wargent.html (2020). Accessed 25 June 2020. Pueyo T. Coronavirus: the hammer and the dance. https://medium.com/@tomaspueyo/coronavirus-the-hammer-and-the-dance-be9337092b56 (2020). Accessed 25 June 2020. Kankanamge N, Yigitcanlar T, Goonetilleke A, Kamruzzaman M. Can volunteer crowdsourcing reduce disaster risk? A systematic review of the literature. Int J Disaster Risk Reduct. 2019;35:101097. Kankanamge N, Yigitcanlar T, Goonetilleke A, Kamruzzaman M. How can gamification be incorporated into disaster emergency planning? A systematic review of the literature. Int J Disaster Resil Built Environ. 2020a;11(4):481–506. Paul MJ, Dredze M. Discovering health topics in social media using topic models. PLoS ONE. 2014;9(8):e103408. Eichstaedt JC, Schwartz HA, Kern ML, Park G, Labarthe DR, Merchant RM, Weeg C. Psychological language on Twitter predicts county-level heart disease mortality. Psychol Sci. 2015;26(2):159–69. Signorini A, Segre AM, Polgreen PM. The use of Twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic. PLoS ONE. 2011;6(5):e19467. Harris JK, Mueller NL, Snider D. Social media adoption in local health departments nationwide. Am J Public Health. 2013;103(9):1700–7. Scanfeld D, Scanfeld V, Larson EL. Dissemination of health information through social networks: Twitter and antibiotics. Am J Infect Control. 2010;38(3):182–8. Moreno MA, Arseniev-Koehler A, Litt D, Christakis D. Evaluating college students’ displayed alcohol references on Facebook and Twitter. J Adolesc Health. 2016;58(5):527–32. Jones R, Kelsey J, Nelmes P, Chinn N, Chinn T, Proctor-Childs T. Introducing Twitter as an assessed component of the undergraduate nursing curriculum: case study. J Adv Nurs. 2016;72(7):1638–53. Devi S. Twitter campaign highlights top women in global health. Lancet. 2015;385(9965):318. Cowling D. SocialMediaNews.com.au. Social Media Statistics Australia–January 2020. https://www.socialmedianews.com.au/social-media-statistics-australia-january-2020 (2020). Accessed 25 June 2020. Sensis. Yellow Social Media Report 2018. Part one: consumers. https://www.yellow.com.au/wp-content/uploads/2018/06/Yellow-Social-Media-Report-2018-Consumer.pdf (2018). Accessed 25 June 2020. Australian Government. Coronavirus (COVID-19) current situation and case numbers. https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers (2020). Accessed 25 June 2020. NSW Government. The Special Commission of Inquiry into the Ruby Princess. https://www.rubyprincessinquiry.nsw.gov.au (2020). Accessed 25 June 2020. Faasse K, Newby JM. Public perceptions of COVID-19 in Australia: perceived risk, knowledge, health-protective behaviours, and vaccine intentions. medRxiv. 2020. https://doi.org/10.1101/2020.04.25.20079996. Yigitcanlar T, Kankanamge N, Vella K. How are the smart city concepts and technologies perceived and utilized? A systematic geo-twitter analysis of smart cities in Australia. J Urban Technol. 2020. https://doi.org/10.1080/10630732.2020.1753483. Arthur R, Boulton CA, Shotton H, Williams HT. Social sensing of floods in the UK. PLoS ONE. 2018;13(1):e0189327. Kankanamge N, Yigitcanlar T, Goonetilleke A, Kamruzzaman M. Determining disaster severity through social media analysis: testing the methodology with South East Queensland Flood Tweets. Int J Disaster Risk Reduct. 2020b;42(1):101360. Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet. 2020;395(10228):931–4. Department of Health. Coronavirus (COVID-19) at a glance – 5 May 2020, Department of Health, Australian Government. https://www.health.gov.au/resources/publications/coronavirus-covid-19-at-a-glance-5-may-2020 (2020). Accessed 28 June 2020. Australian Government. Economic response to the coronavirus. https://treasury.gov.au/sites/default/files/2020-05/Overview-Economic_Response_to_the_Coronavirus_3.pdf. (2020). Accessed 23 June 2020. Australian Bureau of Statistics. Housing finance, Australia, November 2018. https://www.abs.gov.au/ausstats/[email protected]/e8ae5488b598839cca25682000131612/d672cf4ebe195f15ca256e910077d9c2!OpenDocument (2018). Accessed 3 July 2020. Castillo C, Mendoza M, Poblete B. Predicting information credibility in time-sensitive social media. Internet Res. 2013;23(5):560–88. Feng Y, Sester M. Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos. ISPRS Int J Geo-Inf. 2018;7(2):39. Kankanamge N, Yigitcanlar T, Goonetilleke A. How engaging are disaster management related social media channels? The case of Australian state emergency organisations. Int J Disaster Risk Reduct. 2020;48(1):101571. Department of Health. Coronavirus (COVID-19) current situation and case numbers, Department of Health, Australian Government. https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers#tests-conducted-and-results (2020). Accessed 28 June 2020. Baum S, Kendall E, Muenchberger H, Gudes O, Yigitcanlar T. Geographical information systems: an effective planning and decision-making platform for community health coalitions in Australia? Health Inf Manag J. 2010;39(3):28–33. Gudes O, Kendall E, Yigitcanlar T, Pathak V, Baum S. Rethinking health planning: a framework for organising information to underpin collaborative health planning. Health Inf Manag J. 2010;39(2):18–29. Vaeztavakoli A, Lak A, Yigitcanlar T. Blue and green spaces as therapeutic landscapes: health effects of urban water canal areas of Isfahan. Sustainability. 2018;10(11):4010. Yigitcanlar T, Kamruzzaman M, Teimouri R, Degirmenci K, Aghnayi F. Association between park visits and mental health in a developing county context: the case of Tabriz, Iran. Landsc Urban Plan. 2020;199(1):103805. Degeling C, Rychetnik L, Street J, Thomas R, Carter SM. Influencing health policy through public deliberation: lessons learned from two decades of Citizens’/community juries. Soc Sci Med. 2017;179:166–71. Israel BA, Coombe CM, Cheezum RR, Schulz AJ, McGranaghan RJ, Lichtenstein R, Burris A. Community-based participatory research: a capacity-building approach for policy advocacy aimed at eliminating health disparities. Am J Public Health. 2010;100(11):2094–102. Smith BL. The non-governmental policy analysis organization. Public Adm Rev. 1977;37:253–8. Department of Health. First confirmed case of novel coronavirus in Australia, Department of Health, Australian Government. https://www.health.gov.au/ministers/the-hon-greg-hunt-mp/media/first-confirmed-case-of-novel-coronavirus-in-australia (2020). Accessed 22 June 2020. Yigitcanlar T, Goonetilleke A, Kankanamge N. Disasters expose gaps in emergency services’ social media use. https://theconversation.com/disasters-expose-gaps-in-emergency-services-socialmedia-use-134912 (2020). Accessed 5 July 2020. Holt NR, Neumann JT, McNeil JJ, Cheng AC, Unit HE, Prahan V. Implications of COVID-19 in an ageing population. Med J Aust. https://www.mja.com.au/system/files/2020-05/Holt%20mja20.00649%20-%206%20May%202020.pdf (2020). Accessed 30 June 2020. ABC. Almost a million Australians out of work due to coronavirus; RBA tips economy to take 10pc hit. ABC News. https://www.abc.net.au/news/2020-05-05/almost-one-million-australians-lose-jobs-due-to-coronavirus/12215494 (2020a). Accessed 25 June 2020. Cassells R, Duncan A. JobKeepers and JobSeekers: how many workers will lose and how many will gain? https://bcec.edu.au/assets/2020/03/BCEC-COVID19-Brief-3-Job-Seekers-and-Keepers_FINAL.pdf (2020). Accessed 1 July 2020. ABC. Coronavirus recession leaves 1.4m Australians in mortgage stress, almost 100,000 could default after JobKeeper ends. ABC News. https://www.abc.net.au/news/2020-06-04/covid-recession-mortgage-stress-default-home-loans-jobkeeper/12318274 (2020). Accessed 25 June 2020. Ho CS, Chee CY, Ho RC. Mental health strategies to combat the psychological impact of COVID-19 beyond paranoia and panic. Ann Acad Med Singap. 2020;49(1):1–3.