| Literature DB >> 33868509 |
Md Monirul Islam1, Md Mazharul Islam2, Faroque Ahmed2, Afrin Sadia Rumana3.
Abstract
In recent years, information dissemination has been quicker than earlier years with the sky-high development of diverse social media platforms, e.g., Facebook, WhatsApp, Twitter, YouTube and so on, which are more used in creative production. This advancement of social media disclosures has numerous merits and demerits to prevent and control contagious diseases like the Covid-19 pandemic. In this respect, this research scrutinizes the role of creative social media use in preventing the Covid-19 outbreak in Bangladesh utilizing the structural equation modeling (SEM) approach. To this end, this study uses an online survey from June to October 2020 engaging 265 (N = 265) Bangladeshi people as respondents at different ages. The study results establish that creative social media use helps enhance the knowledge of Covid-19 precautions online, and this pertinent knowledge contributes to preventing Covid-19 outbreak in Bangladesh. It implies that creative social media use has a significant indirect effect on Covid-19 prevention, whereas knowledge of Covid-19 precautions online mediates this relationship between creative social media use and Covid-19 prevention. The results also discover that the educational level of the people has a significant direct and positive impact on Covid-19 prevention. Therefore, the study suggests more creative use of social media in preventing the spread of the Covid-19 epidemic in Bangladesh.Entities:
Keywords: Bangladesh; Covid-19 prevention; Creative social media use; Knowledge of Covid-19 precautions online; SEM approach
Year: 2021 PMID: 33868509 PMCID: PMC8036010 DOI: 10.1007/s13278-021-00744-0
Source DB: PubMed Journal: Soc Netw Anal Min
Fig. 1Theoretical framework of the creative social media use and Covid-19 prevention. Note: Nodes denote the variable names and arrows represent the relationship among the variables
Demographic characteristics of the respondents (N = 265)
| Qualitative variables | Percentage | |||
|---|---|---|---|---|
| Male | 75.47 | |||
| Female | 24.53 | |||
| Secondary | 0.75 | |||
| Higher secondary | 13.21 | |||
| Honor’s | 41.13 | |||
| Masters | 41.13 | |||
| PhD | 3.77 | |||
| Unmarried | 65.66 | |||
| Married | 34.34 | |||
| Student | 56.98 | |||
| Govt. employee | 11.70 | |||
| Non-govt. employee | 19.62 | |||
| Doctor/nurse/health professional | 1.89 | |||
| Business/self-employed | 5.66 | |||
| Unemployed | 4.15 | |||
| Quantitative variables | Average | SD | Range (Max–Min) | Median |
| Age | 27.18 | 8.37 | 43 (61–18) | 24 |
| Family size | 4.86 | 1.96 | 13 (15–02) | 04 |
Creative social media use
| Items | Mean (SD) | Factor loadings |
|---|---|---|
| Reading essays/writings on social media | 3.38 (0.99) | 0.78 |
| Seeing photos/flyers on social media | 3.33 (0.94) | 0.80 |
| Watching videos on social media | 3.18 (0.96) | 0.80 |
| Posting writings/pictures/flyers/videos on social media | 2.29 (1.03) | 0.57 |
Responses denote very often = 5, often = 4, sometimes = 3, seldom = 2 and never = 1
SD, standard deviation
Knowledge of Covid-19 precautions using social media
| Items | Mean (SD) | Factor loadings |
|---|---|---|
| Washing hand | 3.07 (1.11) | 0.75 |
| Wearing mask | 3.09 (1.11) | 0.75 |
| Maintaining social distance | 3.22 (1.10) | 0.80 |
| Touching mouth/nose/eyes | 3.14 (1.06) | 0.81 |
| Washing clothes after returning home | 3.04 (1.13) | 0.76 |
| Avoiding Mass gathering | 3.33 (1.10) | 0.81 |
| Helping people amid the pandemic | 3.42 (0.99) | 0.68 |
| Old care | 3.31 (1.04) | 0.74 |
| Infected areas | 3.23 (1.06) | 0.75 |
| Infected persons | 3.14 (1.05) | 0.69 |
| Covid-19 symptoms | 3.38 (1.01) | 0.68 |
Responses denote very often = 5, often = 4, sometimes = 3, seldom = 2, never = 1
SD, standard deviation
Covid-19 prevention
| Items | Mean (SD) | Factor loadings |
|---|---|---|
| I am aware of Covid-19 spread | 4.86 (0.41) | 0.51 |
| I wear a mask while going outside | 4.90 (0.37) | 0.57 |
| I wash hand frequently | 4.81 (0.55) | 0.80 |
| I take precaution before touching mouth, nose and eyes | 4.62 (0.77) | 0.73 |
| I avoid any mass gathering | 4.68 (0.88) | 0.58 |
| I maintain physical distance | 4.66 (0.67) | 0.67 |
| I know the Covid-19 symptoms | 4.74 (0.58) | 0.44 |
Responses denote definitely = 5, probably = 4, possibly = 3, probably not = 2, definitely not = 1
SD, standard deviation
Correlations among the key variables’ factor scores
| Variables | 1 | 2 | 3 |
|---|---|---|---|
| Creative social media use | 1.00 | ||
| Knowledge of Covid-19 precautions online | 0.57*** | 1.00 | |
| Covid-19 prevention | 0.23*** | 0.21*** | 1.00 |
N = 265
***p < 0.01
Total, direct and indirect effect in SEM analysis
| Causal relationship | Total | Direct effect | Indirect effect |
|---|---|---|---|
| Creative social media use → Covid-19 prevention | 0.034*** | NP | 0.034*** |
| Creative social media use → Knowledge of Covid-19 precautions online | 0.667*** | 0.667*** | NP |
| Knowledge of Covid-19 precautions online → Covid-19 prevention | 0.052*** | 0.052*** | NP |
| Educational level → Covid-19 prevention | 0.046** | 0.043** | 0.003 |
| Educational level → Creative social media use | 0.088 | 0.088 | NP |
| Educational level → Knowledge of Covid-19 precautions online | 0.050 | − 0.009 | 0.059 |
| RMSEA | 0.098 (0.05–0.10 implies fair fit) | ||
| CFI | 0.827 (Closer to 1.00) | ||
| TLI | 0.806 (Closer to 1.00) | ||
| SRMR | 0.072 (SRMR < 0.08 implies good fit) | ||
NP, No path; RMSEA, Root mean squared error of approximation; CFI, Comparative fit index; TLI, Tucker-Lewis index; SRMR, Standardized root mean squared residual
p-value: *** < 0.01, ** < 0.05, * < 0.1
Fig. 2Results of total, direct and indirect effect in SEM analysis
Summary of the research hypotheses and its outcomes
| Hypotheses | Statement | Outcome |
|---|---|---|
| H1 | Creative social media use stimulates knowledge of Covid-19 precautions online | Supported |
| H2 | Knowledge of Covid-19 precautions online impacts Covid-19 prevention | Supported |
| H3 | Knowledge of Covid-19 precautions online mediates the nexus between creative social media use and Covid-19 prevention | Supported |
| H4 | People’s educational level affects creative social media use | Rejected |
| H5 | People’s educational level impacts knowledge of Covid-19 precautions online | Rejected |
| H6 | People’s educational level helps prevent the Covid-19 outbreak | Supported |