Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
SEARCH Journal of Media and Communication Research Online ISSN: 2672-7080 © SEARCH Journal 2021 SEARCH 13(1), 2021, 47-60 http://search.taylors.edu.my Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia Khairulnissa A.K. Institute for Health Behavioural Research, Ministry of Health, Malaysia Logeswary a/p Krisnan Institute for Health Behavioural Research, Ministry of Health, Malaysia Manimaran a/l Krishnan Kaundan Institute for Health Behavioural Research, Ministry of Health, Malaysia *Ahlam Abdul Aziz Universiti Teknologi Mara, Malaysia ahlam@uitm.edu.my ABSTRACT Social media’s potential to directly interact with the public and stakeholders is huge and pertinent, especially during a health crisis. This research applied the phenomenological approach to explore themes related to COVID-19 that emerged on Facebook and Twitter before the Movement Control Order (MCO)(1 January - 17 March 2020). For this purpose, the top 10 influencers/pages from Facebook and Twitter, including The Ministry of Health’s social account were selected, pooling around 51 million Malaysian Facebook and Twitter users and engaging around 6,068 mentions. The thematic analysis reveals that a number of health, politics, economic and policy issues emerged before the Malaysian government enforced the MCO on 18 March 2020. The themes that emerged varied according to the situation and the early impact of the COVID-19 pandemic. The findings enable us to understand better public sentiment and the possible different points of view regarding the dissemination of COVID-19 related information on social media platforms. These insights can help government health agencies to connect effectively with the public about health and relevant preventive measures. Specifically, this can support public health stakeholders in developing tailored strategies to monitor and prevent the COVID-19 spread. Keywords: Facebook, Twitter, social media, COVID-19, before MCO * Corresponding author
Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia INTRODUCTION The COVID-19 pandemic is considered the most critical global health catastrophe of the century and the greatest challenge faced by mankind since Second World War. It has rapidly spread worldwide, causing massive health, economic, social, and environmental impacts on the entire human population. COVID-19 is a very contagious and deadly disease, caused by a newly discovered coronavirus. When infected, the immune system overreacts, releasing chemicals called cytokines that make blood vessels leaky. The leaky blood system would cause insufficient oxygen delivery to vital organs, which in turn may cause fatal organ failure (Phillips, Schulte, Smith, Roth, & Kleinschmidt, 2021). As the virus is highly contagious, the outbreak has severely disrupted international travel and the global economy. Almost all nations are struggling to contain the virus transmission by testing and treating patients, quarantining suspected persons through contact tracing, restricting large gatherings and imposing complete or partial movement control order or lockdowns. According to Li, Xu, Cuomo, Purushothaman, & Mackey (2020), the COVID-19 pandemic began in Wuhan, China, towards the end of 2019. By mid-April, it had spread rapidly worldwide, with nearly two million detected cases. Surveillance through social media platforms such as Twitter and Facebook (FB) are used to help map its distribution, as well as understand public knowledge, attitudes of people affected, and their critical behaviours in the early stages of the infection. It was reported by Conner & Norman (2006) that different human behaviours influence health and the factors determining these behaviours has become a key research area in epidemiology. In recent years, the rapid development of technologies have made products and services more economical. For instance, the advent of the low-cost carrier has made travelling more affordable. With increased speed and reach in human mobility, the risks of exposure, contracting or spreading infectious diseases become amplified. The likelihood of an infectious disease that originated in one country to spread rapidly to other countries increases. COVID-19 is a clear illustration of this; from the first reported case in Wuhan, China in late December 2019 (Rothan & Byrareddy, 2020), it managed to spread to the whole world within a matter of months, with no signs of slowing down or stopping. Another example is severe acute respiratory syndrome (SARS) in 2003, whereby first detected in China, it spread to at least 37 countries in a matter of weeks. When a pandemic hits, clinical studies covering all aspects of the pandemic are conducted to find a vaccine that can protect people from the disease. Additionally, communication studies are also conducted to understand how public health practitioners can communicate better to the public, about the disease. This study offers unique communication insights of infectious disease outbreaks by examining social media engagement. The purpose of this study is to obtain an in-depth understanding of public views and opinions on the first wave of COVID-19 and movement control order as well as outline potential implications for health literacy. Specifically, the study looks at how netizens conversed about COVID-19 on Facebook and Twitter, and the issues that emerged before the first phase of the movement control order (MCO) in Malaysia. LITERATURE REVIEW Social media landscape in today’s society Conventionally, the diffusion of knowledge on a certain subject takes place through established channels such as seminars, workshops, fliers, online messages and word of mouth (Dearing 48
SEARCH 13(1), 2021 & Cox, 2018; Elias, 2019). However, with the advent of COVID-19 and the need for social distancing to contain the spread of the virus, seminars, meetings and workshops were banned and replaced with online mediums. Surprisingly, social media platforms such as Facebook and Twitter appear to be better options compared to seminars, workshops and word of mouth, with their lower costs, real-time discussions and broader spectrum of population segments that can be reached. Microblogging platforms like Facebook and Twitter can disseminate short messages, photos/images, and video clips to direct contacts and other potential interested users worldwide. Thus, many have made use of these platforms to communicate with one another on subjects of mutual interest. As such, communication through the social media suggests a new way of spreading information effectively and influencing public sentiments (Wadawadagi & Pagi, 2020). One research area of infectious diseases that has recently gained popularity is the dissemination of public health information through the social media. In general, the advent of new communication media has altered the way public agencies and the public respond in times of crisis. For instance, social media allows rapid dissemination of information in extreme situations, even before the responsible agencies can control or handle the situation. Further, social media’s potential to directly interact with the public and stakeholders is huge and pertinent, especially during a health crisis. Today, doctors and patients take to online platforms such as blogs, social media, and websites to convey their opinions or information on health matters (Afyouni, Fetit, & Arvanitis, 2015). Nowadays, social networking has become quotidian, with the number of users increasing from year to year. It is undeniable that social media has altered the media landscape, transforming how information is consumed and circulated. The nature of social media allows wide-scale interaction and easier access for many others while disregarding physical boundaries (Shklovski, Palen, & Sutton, 2008). Taking the Arab Spring of 2011 and Obama’s political campaign as examples, social media can strongly influence society in coming forward and taking action. Social media has also changed the way people seek, acquire and share information. It has also changed the characteristics and speed of healthcare interaction between individuals and healthcare organisations, thus enabling health services to become more informal and personal (Moorhead et al., 2013). Real-time feedback is possible through social media platforms, making it more engaging for healthcare practitioners and the public. Additionally, the dual nature of social media stemming from its interactive functionality enables mass messaging and direct engagement (Heldman, Schindelar, & Weaver III, 2013). In this regard, the widespread public engagement function enables dynamic and wide-ranging applications in the healthcare field. Some research have shown that online communication can improve the understanding of specific health matters (Wozney, Turner, Rose-Davis, & McGrath, 2019). Other studies have proven that social media can successfully encourage health improvement and behaviour change (Webb, Joseph, Yardley, & Michie, 2010). It is undeniable that social media has become an important tool for connecting people, building communities, voicing opinions, marketing and advertising and various other functions. Malaysian Communications and Multimedia Communications (MCMC) (2020) reported that Malaysians spend anywhere from 5 to 12 hours a day on the internet, and 93% of their online activities were on social media platforms. The top four social platforms used in Malaysia from 2018 to 2020 were Facebook, WhatsApp, Messenger and WeChat (MCMC, 2020) (Figure 1). 49
Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia 2018 2020 97.3% 100.0% 91.7% 90.0% 80.6% 80.0% 70.0% 63.1% 57.0% 60.0% 48.3% 50.0% 37.1% 40.0% 31.1% 23.8% 24.1% 30.0% 20.0% 13.3% 10.8% 10.0% 0.7% 0.2% 0.0% Figure 1. Malaysia internet survey (2020) As a result, social media nowadays plays an ever-increasing important role in disease outbreak communication. It provides an easy-to-access and easy-to-read medium that helps health authorities circulate immediate updates and alerts to many people at a low cost. In this way, public health authorities can address public concerns and reduce public panic when there is a crisis (Lwin, Lu, Sheldenkar, & Schulz, 2018). Social media for communicating health information Healthcare agencies are increasingly using social media to communicate about disease outbreaks and responses because its interactive features facilitates dialogues, eases communication, and disseminates information in real-time. Social media also supports the rapid dissemination of information to diverse users because information can be shared and re-shared amongst many social media users worldwide (Wang, Xu, Saxton, & Singhal, 2019; Lwin et al., 2018). Empirical evidence from previous studies demonstrate that social media is important for epidemiological purposes in detecting outbreaks/cases and understanding public attitudes and behaviours in dealing with health crises in real-time. The acquired real- time data can support the construction of effective public health messages (Abd-Alrazaq, Alhuwail, Househ, Hai, & Shah, 2020). This “infoveillance” approach has been used to address several sensitive public health issues such as mental health and substance abuse as well as help monitor infectious disease outbreaks (Li et al., 2020). According to Eysenbach (2011), infoveillance is defined as the longitudinal tracking of infodemiology metrics for surveillance and trend analysis. Disease outbreaks are increasingly becoming more frequent and complex worldwide due to various ecological, environmental, and socio-economic factors. Technical approaches, such as sentimental analysis, may help detect outbreaks and how people respond to them (Brownstein, Freifeld, & Madoff, 2009). Further, rapid responses through improved surveillance is important in combating emerging infectious diseases such as COVID-19. 50
SEARCH 13(1), 2021 Further, this improved surveillance may enable nowcasting and predict disease trends (Biggerstaff et al., 2016; Burkom, Babin, & Blaze, 2016). In response to the ongoing COVID-19 crisis, a sentiment analysis was conducted by analysing several social media platforms to gauge the public’s opinion and perception on the issue. METHODOLOGY The data mining method was used to collect data from two social media platforms: Facebook and Twitter for the time period between 1 January and 17 March 2020. The collection and collation of data was done using the Atlas.ti Ver 9 AI-driven software. The focus was on exploring themes related to COVID-19 that emerged from the online engagement between netizens. The research design consisted of five main steps: identifying conversations related to COVID-19 on the selected Facebook pages and Twitter; organising the data; finding and organising the ideas and concepts (especially to look for meanings for coding and categorising the ideas and concepts); building overarching themes; and finally, ensuring the reliability and validity of the data analysis and in the findings through peer examination to improve the trustworthiness, authenticity and credibility of the data (Creswell, 2009). The research design is presented in Figure 2. Identifying and Finding & collecting data organising Ensuring Organising data Building themes reliability & from Facebook ideas & and Twitter concepts validity Figure 2. Research design Ethical consideration The ethical approval for the study was obtained from the Medical Research Ethics Committee (MREC) Ministry of Health (NMRR ID: NMRR-20-619-54484). In addition, this study was funded by NIH grant. FINDINGS AND DISCUSSION A total of 170,000 social media engagement posts collected from 1 January until 17 March 2020 were subjected to a qualitative content analysis to identify emerging themes. For analysis purposes, we selected the top 10 influencers/page from Facebook and Twitter, including the Ministry of Health’s Facebook page, pooling around 51 million Malaysian’s Facebook and Twitter followers, and engaging around 6,068 mentions. The content analysis focused on the identification of themes related to COVID-19. Emerging themes before MCO The thematic analysis revealed that before the Malaysian government implemented the MCO on 18 March 2020, the issues that emerged were related to health, politics and economy. Figure 1 presents the issues that have been broken down into themes and sub- themes. 51
Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia • T he sincerity of the • ood supply rapidly F government and MOH in running out in stores Politics Economy dealing with COVID-19 (panic buying) • Motivation to help staff • Complete patient Health Policy • anning tourists from B information China from entering • Statistics of coronavirus Malaysia • Lack of medical supply • Transmission Figure 3. COVID-19 related themes that emerged before MCO A. Health A1. Statistic The social media conversation on COVID-19 escalated rapidly at the beginning of January 2020. The virus which was first detected in China generated tremendous attention and interest. Naturally, the public requested more health statistics regarding COVID-19 from the Ministry of Health (MOH) such as number of patients recovered and number of deaths, and generally, an overview of the global situation. “Terima kasih Kementerian Kesihatan Malaysia... You are updating from time to time all the accurate information and statistics related Covid-19.. [Thank you, Ministry of Health Malaysia... You are updating from time to time all the accurate information and statistics related to Covid-19...]” (MOH FB, 2020) “Sbulan akn dtg, br dpt tgk kesan lps quarantine ni..tu pun kalo bnyk yg ikot btol2..sbb mostly bnyk yg x dgr ckp, blek kmpg rmai2, serbu supermarket ramai2..so effect smua ni d jangka msih menaik sehingga ke bln 4..yg kebanyakkan statistic blaku mgu ni mmg kesan dr sebulan yg lps d mane kte kat malaysia msih x mgamal kn lgkah bjaga2 tu smua..so keep pray..n wish at the end of april, all the statistic will gve us some hope to fight against Covid 19..[We could only see the result of this quarantine only after a month.... and given that the public follows the SOP... there are still many people who don’t follow the rules, going back to their hometown, swarming the supermarkets.... all of this will result in the increase of Covid-19 cases in the next four months.... as we know that what is shown in this week’s statistic were the effect of last month negligence whereby Malaysian did not practice ample precautions towards Covid-19.... so keep praying and wish at the end of April, all the statistic will show us some hope to fight against Covid-19….]” (HarianMetro FB page, 2020) “Tahniah rata rata komen memperlihat kefahaman terhadap situasi jangkitan kes COVID-19 di Malaysia, kebanyakannya rajin analisa sendiri 52
SEARCH 13(1), 2021 kes, jika sebelum ni tgk angka kes baru naik semua dh keluar komen panik. [Congratulation!! The average comment indicates increased public awareness of Covid-19 infection cases in Malaysia. Most of the public nowadays have due diligence towards latest news on Covid-19… before that, if there were the increase of positive Covid-19 cases, there would be panic and outrage among the public..]” (Malaysiakini FB page, 2020) During the early stages of the pandemic, public understanding of this disease was very much at its infancy, resulting in much uncertainty and worry. To diminish the uncertainty, Malaysian social media users requested for regular updates on statistics related to COVID-19. According to Kuang (2018), uncertainty is a “psychological state of ‘not knowing’” and seeking reassurance due to worry is a usual reaction for most people (Andrews & Hobbs, 2010). Studies have shown that most people will behave in an extreme manner to attain certainty and to gain clarity regarding consequences in ambiguous circumstances. This behaviour involves over-preparation, repetitive questioning and lengthy internet searches (Freeston, Tiplady, Mawn, Bottesi, & Thwaites, 2020). A2. Details of patient travel history Social media users were concerned about COVID-19 patients’ travel history or movement as they wanted to use the travel history to avoid travelling to the same places. The situation became increasingly acute after an outbreak was detected at a Tabligh gathering on 9 March, which involved 14,500 participants across the country that raised concerns and fear amongst the public. With rising anxiety about the spread of the virus, people were fearful of being infected. The Protection Motivation theory states that a person would be motivated to avoid a possible negative threat and protect themselves if they believe the behaviour is effective (Rogers, 1975). Therefore, many believed it was safest to avoid all locations previously visited by COVID-19 patients (Sutton, 2015). “Yes, please declare a more specific location of COVID-19 infection to create more public awareness.” (MOH FB page, 2020) “Be honest, please reveal your travel history, close contact & necessary info required by the medical staffs. Don’t be selfish & risk the life of the frontliners! They are not only treating you but still a lot of others & they have families too!” (TheStarOnline FB page, 2020) “It makes quarantining those with a high-risk travel history all the more important.” (Malaysiakini (English) FB page, 2020) Studies have shown that people prefer to pursue information that eliminates confusion and helps make informed choices with regard to a health problem (Procopio & Procopio, 2007; So, 2013). Declaring travel history, especially visits to affected countries during the early phase of the pandemic, is vital as a prevention and control measure (Wei et al., 2020). Thus, tracking the travel history of members of the public, especially those who travelled to Wuhan, was an important step to contain COVID-19 in the initial stage; however, many were found to have withheld this vital information once local clusters were detected. 53
Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia A3. Diminishing supply of face masks and hand sanitisers Even though there were no mandatory rules for wearing a mask at the time, people began to wear masks in public. Hand sanitisers were also in huge demand, and the price went up due to insufficient supplies. According to the Health Belief Model, the perceived susceptibility construct is built on the assumption that the greater the perceived danger, the greater the probability that an individual will participate in behaviours that will reduce the risk (Hayden, 2015). In other words, if people feel that they are at risk of contracting a disease, they would be more likely to behave in a way that prevents it, in this case, wearing a face mask and using hand sanitiser. ““Bila nak edar mask ekk.. Mask takde sanitizer takde. At least edar laa di klinik kesihatan dan hospital yg handle kes2. Benda ni dah pecah, merebak dah. Kami bukan suka2 coronapalatau mcm ada yg perli2 tu. Kami bersuara sbb nyawa dan keselamatan kami dan warga lain. Takde ke wujudkan task force untuk ambil tindakan golongan ambil untung atas angin simpan stok dan naikkan harga mask? Btw, boleh advise superior kot untuk execute lockdown mcm jepun? [When do you want to distribute masks to the public??? No mask… No sanitiser… At least distribute some to the health clinics and hospitals that handle Covid-19 cases. It’s widespread already... We speak out for our lives and safety of other citizens... Why don’t you create a task force to take action against those who take advantage to raise the mask to an unreasonable price? By the way, you could also advise your superior to execute lockdown like in Japan?]” (MOH FB page, 2020) “How we want to make it mandatory, when there’s a mask shortage everywhere??!!” (Malaysiakini (English) FB page, 2020) “Priority should be given to the frontliners and those who continue to work during the MCO. Citizens who are staying at home during this MCO don’t need it. Maybe the government can distribute some of it to supermarkets and convenient stores. So not necessarily everyone will get it.” (AstroAwani FB page, 2020) A4. Transmission A few posts discussed the transmission of COVID-19, specifically its transmission mode, and relevant prevention measures. Some examples of this discussion include: “Hmm..tu la kena suruh cuci tangan kerap, lagi² bila dkt luar tu,bila tersentuh mana2.mmg melekat kat kulit dlu,bukan terus masuk lubang hidung.. [Hmm.. have to wash our hands repeatedly, especially when we’re going outside and touching here and there… it’s probably stuck to our skin first, not directly into our nostrils.]” (HarianMetro FB page, 2020) “Bila bersin, jarak 1m ni nk mencegah bknnya 100% boleh avoid, paling penting pakai mask dan jangan sentuh muka, kecuali lepas cuci tangan. [When sneezing, please make sure a 1-meter distance from others. This distance is for precautions and prevention because we can’t avoid it 100%, most importantly wear a mask and do not touch your face, except after washing your hands]” (MOH FB page, 2020) 54
SEARCH 13(1), 2021 “Thank you for sharing. This video is so valuable to educate people. More people need to see this. People should know the basic knowledge on how the virus spread and not afraid of COVID-19 patient.” (TheStarOnline FB page, 2020) Information on COVID-19’s transmission mode should be made public so that everyone can use it to assess their situation and act accordingly. According to Shultz et al. (2016), personal risk management is often hindered by the lack of knowledge. Furthermore, with the right information, everyone can protect themselves. A study by Tandoc & Lee (2020) on Singaporean youths revealed that they manage uncertainties by engaging in information seeking and information scanning. A5. Motivational support for frontliners Meanwhile, a positive sub-theme which is support for the hard work and dedication of doctors and nurses on the frontline in battling COVID-19 was also visibly present on the social media. Influencers actively played their part in highlighting the frontliners’ contribution through viral content, especially on 26 February when the government brought back 66 Malaysians from Wuhan, the biggest mission at the time. The operation went viral on social media with more than 20 thousand “likes”, 1,600 comments and 1,300 sharing. All of which were wishing the best to those involved in the operation. “A big shout out to all the frontliners!!! Thank you” Help fight COVID-19.” (LITEdotmy FB page, 2020) “Terima kasih semua abg2 akak2 tentara polis..dokter nurse foodpanda grab dan semua sekali yang berkorban untuk negara serta PM kite yg baik hati. Alhamdulilah Yallah.. Amin.. Sebakkk oiii… [Thank you all to the police, army, doctors, nurses, food panda, grab and to all others for their sacrifices to our beloved country…. as well as for our kind-hearted Prime Minister... Alhamdulilah. Ya Allah .. Amin... It touches my heart!!...]” (Siakapkeli FB page, 2020) “Awesome work, MODA and all the designers and workers that stepped in for the PPE. God bless you all. Let us all support Malaysian brands and businesses. So proud of you all.” (TheStarOnline FB page, 2020) Giving motivational support to frontliners is a good gesture by the netizens as the support will boost their spirit in conducting their duties tirelessly (Tandoc & Lee, 2020). B. Economy B1. Panic buying The panic buying issue began trending on social media, especially when rumours started circulating about a potential lockdown. Panic buying occurred in major cities across the country as the public panicked that supplies would run out. According to a study, four factors that affect panic buying are awareness, fear of the unknown, coping behaviour and social psychological influences (Yuen, Wang, Ma, & Li, 2020). “The concern is to have food at the right time in the right place #KekalTenang” (AstroAwani FB page, 2020) 55
Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia “I did not expect people to be this panicked. They were clearing out some shelves. I’ve never seen anything like this.” (NSTOnline FB page, 2020) “Diharapkan rakyat Malaysia terus bersabar & tidak Panic Buying! Patuhi dan berbelanjalah dengan selamat tanpa tanpa membawa keluarga. [We hope Malaysians continue to be patient & do not Panic Buying! Please follow the SOP and shop safely without bringing the whole family.]” (OhMediaNetwork FB page, 2020) This finding is supported by data from the Panic Index conducted in 54 countries from 1 January till 30 April 2020, which showed widespread consumer panic in most countries, mainly during the month of March (Keane & Neal, 2021). The same study explained that the panic was due to the rapid spread of the virus and government policies, such as movement restriction. Behavioural studies on pandemic have demonstrated that an outbreak of influenza or a pandemic will cause significant disturbances to development, expenditure and consumer purchasing (Jung, Park, Hong, & Hyun, 2016). C. Policy C1. Banning tourists from China from entering Malaysia The pandemic also evoked fear amongst netizens. Many voiced their concern over the ongoing coronavirus outbreak on social media and urged a new policy to ban travellers from China from entering the country. “Knp masih ada org dr wuhan kat malaysia ? Patut dah lama hantar balik , malaysia perlu berhentikan kemasukkan pelancung dr china dgn segera sebelum keadaan jadi lebih buruk… [Why are there still people from Wuhan in Malaysia?? They should be sent back a long time ago!!! Malaysia needs to stop admitting tourists from China immediately before the situation gets worse.]” (Bernama FB page, 2020) “A lot of things to learn from Sabah & Sarawak.... they made it so simple, the rakyat-comes first....” NO CHINESE TOURIST. CHINESE TOURIST GO BACK” (MalayMail FB page, 2020) “The Malaysian government should prevent Chinese people from entering the country for the last six month ago!!!!” (ChinaPress FB page, 2020) The call to ban travellers from China was driven by the fact that the virus was discovered in Wuhan, China. The Malaysian public was anxious that the number of people infected may increase significantly if travellers from China were still allowed to enter Malaysia. With regard to this, travel restrictions were found to be highly effective for containing the COVID-19 epidemic in Australia during the epidemic peak in China (Costantino, Heslop, & MacIntyre, 2020). Another study revealed that more and more Chinese travellers were barred by other countries as panic intensified. The travel ban also affected China’s tourism industry as many incoming flights were cancelled (Akbulaev & Aliyev, 2020). 56
SEARCH 13(1), 2021 D. Politics D1. Political turmoil Politics was another pertinent issue that emerged during the early stage of the pandemic. Many netizens argued that the Malaysian government should focus on containing the pandemic even if Malaysia had been thrown into political turmoil when the then Prime Minister resigned from his post. ““5 hari dah xbentuk2 kabinet lagi...tak habis berunding lagi ke?? kementerian kesihatan paling penting buat masa ni. [It’s been five days since the cabinet was formed ... haven’t finished negotiating yet ?? the most important thing, for the time being, is the Ministry of Health.]” (BHOnline FB page, 2020) “What else would you like us to do apart from getting on with our precious lives? We don’t know whether we’d still be around here tomorrow looking at the current epidemic happening around the world right now. Our Agung has made a decision, and it’s now entirely up to them to show us whether they can perform or not. Otherwise, they will all eventually have to go.” (TheStarOnline FB page, 2020) “Kekalkan post berkaitan kesihatan/pengumuman berkaitan pandemik dan kesihatan sahaja. Page KKM tak perlu dicemari isu politik. [Keep only pandemics and health-related posts/announcements. The MOH page should remain politically neutral.]” (MOH FB page, 2020) The political crisis began on 23 February 2020 with rumours about a power transition even as the number of Covid-19 cases continued to rise around the world. The social media was inundated with many posts by netizens expressing their frustration and dissatisfaction over the escalating Malaysian political upheaval which culminated in the resignation of the former Prime Minister (Abdul Latif & Ying, 2020). Many also demanded a fast resolution to resolve the crisis. CONCLUSION A major issue in the COVID-19 pandemic was addressing the public’s growing sense of fear especially when not much was known about the disease in the early stages. The findings of the thematic study on social media engagement during the early phase of the pandemic can provide relevant authorities with a better understanding of Malaysians specifically, on their knowledge, attitude, and perception related to the pandemic. The emerging themes which were related to health, policy, economy, and politics highlight how every component in society was affected during the health crisis. The insights from real-time data provide a guide to the relevant authorities in planning not only health education strategies and messages for the public, but closely monitoring economic impacts as well as resolving any arising political dissatisfaction to gain back trust from the public. Furthermore, as social media engagement enables real-time communication and dissemination of data, the relevant agencies can also address the issue of mis/disinformation to reduce unnecessary uncertainties during the early stage of the pandemic. 57
Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia Open Access: This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution and reproduction in any medium, provided the original author(s) and the source are credited. References Abd-Alrazaq, A., Alhuwail, D., Househ, M., Hai, M., & Shah, Z. (2020). Top concerns of tweeters during the COVID-19 pandemic: A surveillance study. Journal of Medical Internet Research, 22(4), 1–9. Abdul Latif, R., & Ying, A. O. (2020). The Malaysian power shift: The mainstream perspective. SEARCH (Malaysia), 12(3), 145–161. Afyouni, S., Fetit, A. E., & Arvanitis, T. N. (2015). #DigitalHealth: Exploring users’ perspectives through social media analysis. Studies in Health Technology and Informatics, 213, 243–246. Akbulaev, N., & Aliyev, V. (2020). The effect of coronavirus sars-cov-2 in the tourism industry in Africa. Journal of Environmental Management and Tourism, 11(8), 1938–1947. Andrews, G., & Hobbs, M. J. (2010). The effect of the draft DSM-5 criteria for GAD on prevalence and severity. Australian and New Zealand Journal of Psychiatry, 44(9), 784–790. Biggerstaff, M., Alper, D., Dredze, M., Fox, S., Fung, I. C. H., Hickmann, K. S., … Scarpino, S. (2016). Results from the centers for disease control and preventions predict the 2013-2014 Influenza Season Challenge. BMC Infectious Diseases, 16(1), 110. Brownstein, J. S., Freifeld, C. C., & Madoff, L. C. (2009). Digital disease detection--harnessing the Web for public health surveillance. The New England Journal of Medicine, 360(21), 2153–2157. Burkom, H., Babin, S., & Blazes, D. (2016). Promising advances in surveillance technology for global health security. In D. L. Blazes & S. H. Lewis (Eds.), Disease surveillance: Technological contributions to global health security (pp. 179–188). Florida, US: CRC Press. Conner, M., & Norman, P. (2006). Predicting health behaviour. UK: Open University Press. Costantino, V., Heslop, D. J., & MacIntyre, C. R. (2020). The effectiveness of full and partial travel bans against COVID-19 spread in Australia for travellers from China during and after the epidemic peak in China. Journal of Travel Medicine, 27(5), 1–7. Creswell, J. (2009). Research design : Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, US: Sage Publishing. Dearing, J., & Cox, J. (2018). Diffusion of innovations theory, principles, and practice. Health Affairs, 37(2), 183–190. Elias, K. (2019). Modelling integrated concepts towards achieving a vibrant yield for paddy farmers in Kerian, Perak. June, 1–19. Eysenbach, G. (2011). Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. Journal of Medical Internet Research, 13(4), e123. Freeston, M., Tiplady, A., Mawn, L., Bottesi, G., & Thwaites, S. (2020). Towards a model of uncertainty distress in the context of Coronavirus (COVID-19). Cognitive Behaviour Therapist, 13, 1–15. Hayden, J. (2013). Introduction to health behavior theory (2nd ed.). Burlington, Ma: Jones & Bartlett Learning. Heldman, A. B., Schindelar, J., & Weaver III, J. B. (2013). Social media engagement and public health communication: Implications for public health organizations being truly “social.” Public Health Reviews, 35, 13. Jung, H., Park, M., Hong, K., & Hyun, E. (2016). The impact of an epidemic outbreak on consumer expenditures: An empirical assessment for MERS Korea. Sustainability (Switzerland), 8(5), 454. Keane, M., & Neal, T. (2021). Consumer panic in the COVID-19 pandemic. Journal of Econometrics, 220(1), 86–105. Kuang, K. (2018). Reconceptualising uncertainty in illness: Commonalities, variations, and the multidimensional nature of uncertainty. Annals of the International Communication Association, 42(3), 181–206. Li, J., Xu, Q., Cuomo, R., Purushothaman, V., & Mackey, T. (2020). Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: Retrospective observational infoveillance study. JMIR Public Health and Surveillance, 6(2), e18700. 58
SEARCH 13(1), 2021 Lwin, M. O., Lu, J., Sheldenkar, A., & Schulz, P. J. (2018). Strategic uses of facebook in zika outbreak communication: Implications for the crisis and emergency risk communication model. International Journal of Environmental Research and Public Health, 15(9), 1974. Malaysian Communications and Multimedia Commission (MCMC). (2020). Internet users survey 2020. Retrieved from https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/Internet-Users- Survey-2018-(Infographic).pdf Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013). A new dimension of health care: Systematic review of the uses, benefits, and limitations of social media for health communication. Journal of Medical Internet Research, 15(4), e85. Phillips, T., Schulte, J. M., Smith, E. A., Roth, B., & Kleinschmidt, K. C. (2021). COVID-19 and contamination: impact on exposures to alcohol-based hand sanitisers reported to Texas Poison Control Centers, 2020. Clinical Toxicology, 19, 1–11. Procopio, C. H., & Procopio, S. T. (2007). Do you know what it means to Miss New Orleans? Internet communication, geographic community, and social capital in crisis. Journal of Applied Communication Research, 35(1), 67–87. Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. The Journal of Psychology, 91(1), 93-114. Rothan, H. A., & Byrareddy, S. N. (2020). The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. Journal of Autoimmunity, 109(February), 102433. Shklovski, I., Palen, L., & Sutton, J. (2008). Finding community through information and communication technology during disaster events. Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work. Association for Computing Machinery, New York, NY, USA, 127–136. Shultz, J. M., Cooper, J. L., Baingana, F., Oquendo, M. A., Espinel, Z., Althouse, B. M., … Rechkemmer, A. (2016). The role of fear-related behaviors in the 2013–2016 West Africa ebola virus disease outbreak. Current Psychiatry Reports, 18(11), 104. So, J. (2013). A further extension of the extended parallel process model (E-EPPM): Implications of cognitive appraisal theory of emotion and dispositional coping style. Health Communication, 28(1), 72-83. Sutton, S. (2015). Health behavior, Psychosocial theories of. In J. Wright (Ed.), International Encyclopedia of the Social & Behavioral Sciences. Second Edition (pp. 577–581). The Netherlands: Elsevier. Tandoc, E. C., & Lee, J. C. B. (2020). When viruses and misinformation spread: How young Singaporeans navigated uncertainty in the early stages of the COVID-19 outbreak. New Media and Society. https://doi.org/10.1177/1461444820968212 Wadawadagi, R. S., & Pagi, V. B. (2020). Sentiment analysis on social media: Recent trends in machine learning. In A. Solanki, S. Kumar, & A. Nayyar (Eds.), Handbook of research on emerging trends and applications of machine learning (pp. 508–527). Pennsylvania, US: IGI Global. Wang, H., Xu, W., Saxton, G. D., & Singhal, A. (2019). Social media fandom for health promotion? Insights from east los high, a transmedia edutainment initiative. SEARCH (Malaysia), 11(1), 1–16. Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010). Using the Internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research, 12(1), 1–18. Wei, L., Sha, Z., Wang, Y., Zhang, G., Jia, H., Zhou, S., Li, Y., …Wu, Q. (2020). Willingness and beliefs associated with reporting travel history to high-risk coronavirus disease 2019 epidemic regions among the Chinese public: A cross-sectional study. BMC Public Health, 20(1), 1–9. Wozney, L., Turner, K., Rose-Davis, B., & McGrath, P. J. (2019). Facebook ads to the rescue? Recruiting a hard to reach population into an Internet-based behavioral health intervention trial. Internet Interventions, 17(January), 100246. Yuen, K. F., Wang, X., Ma, F., & Li, K. X. (2020). The psychological causes of panic buying following a health crisis. International Journal of Environmental Research and Public Health, 17(10), 3513. 59
Emerging themes in Facebook and Twitter before Movement Control Order (MCO) in Malaysia Khairulnissa Abdul Kadir is a Health Education Officer (Research) at the Institute for Health Behavioural Research (IHBR), National Institute of Health Malaysia. Received her Bachelor’s Degree in Mass Communication in 2000 from International Islamic University Malaysia before joining IHBR as a Health Education Officer in 2002. Her specialisation is online media for health communication. Logeswary Krisnan is a Health Education Officer (Research) at the Institute for Health Behavioural Research, National Institute of Health Malaysia. Received her Bachelor’s Degree in Exercise Physiology in 2016 from Universiti Malaya. Her specialisation is online media for health communication and health physiology. Manimaran Krishnan (Dr) is at present the Director of Institute for Health Behavioural Research (IHBR), National Institute of Health, Ministry of Health, Malaysia. Previously, he was appointed as the Chief Executive Officer for Malaysia Health Promotion Board (MySihat). Dr. Manimaran joined MOH as a Health Education Officer in 1991, and his first posting was at the Institute for Public Health, followed by Division of Disease Control, Hospital Serdang and IHBR. He completed his PhD in Health Psychology & Communication (UKM) and B. Jurisprudence Hons (Law) (UM). Apart from his vast experience in the field of health education and health promotion for nearly 30 years, he is also a strong advocate for community empowerment and behavioural change initiatives for the Malaysian population. Ahlam Abdul Aziz (Dr) is a senior lecturer at the Faculty of Communication and Media Studies, UiTM Shah Alam. Completed her doctoral studies in 2015 from Universiti Putra Malaysia in communication technology in organization before joining UiTM as a lecturer in 2004. Her specialisation is organisational communication, new media technology in organisation and leadership communication. 60
You can also read