| Literature DB >> 33376831 |
Eqbal Radwan1,2, Afnan Radwan3, Walaa Radwan4.
Abstract
BACKGROUND: The rapid outbreak of the COVID-19 pandemic has opened up various issues on social media platforms among school students. The dangerous issue is that misinformation, fake news, and rumours spread on social media faster than reliable information, and also faster than the virus itself, damaging the health systems and affecting the mental health of social media users.Entities:
Keywords: COVID-19; Gaza strip; Infodemic; Mental health; Palestine; School students; Social media panic
Year: 2020 PMID: 33376831 PMCID: PMC7758520 DOI: 10.1016/j.heliyon.2020.e05807
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Figure 1The procedures of sampling and inclusion for the study participants.
The Demographic characteristics of the study participants (N = 942).
| Variables | Groups | n | % |
|---|---|---|---|
| Gender | Female | 620 | 65.8 |
| Male | 322 | 34.2 | |
| Age | 6–9 years | 205 | 21.8 |
| 10–14 years | 556 | 59.0 | |
| 15–18 years | 181 | 19.2 | |
| A device used to connect to social media | Smartphone | 485 | 51.5 |
| Laptop | 123 | 13.1 | |
| Home PC | 52 | 5.5 | |
| iPad/Tab | 282 | 29.9 | |
| Total | 942 | 100.0 | |
Summary of response to some questions respecting the gender and age of the study participants (n = 942).
| Variables | Total (n = 942) n(%) | Gender | Age | |||||
|---|---|---|---|---|---|---|---|---|
| Females (n = 620) n(%) | Males (n = 322) n(%) | 6–9 years (n = 205) n(%) | 10–14 years (n = 556) n(%) | 15–18 years (n = 181) n(%) | ||||
| Q1: Which social media platform do you use to get news and information about COVID-19? | ||||||||
| 771 (81.8) | 530 (85.5) | 241 (74.8) | <0.001 | 185 (90.2) | 536 (96.4) | 50 (27.6) | <0.001 | |
| 60 (6.4) | 41 (6.6) | 19 (5.9) | 4 (1.9) | 6 (1.1) | 50 (27.6) | |||
| 56 (5.9) | 22 (3.5) | 34 (10.6) | 2 (0.9) | 10 (1.7) | 44 (24.4) | |||
| 21 (2.2) | 11 (1.8) | 10 (3.1) | 0 (0.0) | 1 (0.2) | 20 (11.0) | |||
| YouTube | 13 (1.4) | 7 (1.1) | 6 (1.9) | 11 (5.4) | 1 (0.2) | 1 (0.6) | ||
| Telegram | 18 (2.0) | 6 (1.0) | 12 (3.7) | 3 (1.5) | 1 (0.2) | 14 (7.7) | ||
| TikTok | 3 (0.3) | 3 (0.5) | 0 (0.0) | 0 (0.0) | 1 (0.2) | 2 (1.1) | ||
| Q2: What news topic has you have mainly seen/read/heard of social media during the COVID-19 pandemic? | ||||||||
| Social news | 30 (3.2) | 21 (3.4) | 9 (2.8) | <0.001 | 0 (0.0) | 0 (0.0) | 30 (16.5) | <0.001 |
| Health news | 529 (56.2) | 338 (54.5) | 191 (59.4) | 89 (43.4) | 320 (57.5) | 120 (66.3) | ||
| Technology news | 4 (0.4) | 1 (0.2) | 3 (0.9) | 3 (1.5) | 1 (0.2) | 0 (0.0) | ||
| Economic news | 6 (0.6) | 1 (0.2) | 5 (1.6) | 1 (0.4) | 4 (0.7) | 1 (0.6) | ||
| Sport news | 1 (0.1) | 0 (0.0) | 1 (0.3) | 0 (0.0) | 1 (0.2) | 0 (0.0) | ||
| Educational news | 340 (36.1) | 242 (39.0) | 98 (30.4) | 83 (40.5) | 228 (41.0) | 29 (16.0) | ||
| Miscellaneous news | 20 (2.1) | 11 (1.8) | 9 (2.8) | 19 (9.3) | 0 (0.0) | 1 (0.6) | ||
| Political news | 2 (0.2) | 0 (0.0) | 2 (0.6) | 1 (0.4) | 1 (0.2) | 0 (0.0) | ||
| Cultural news | 10 (1.1) | 6 (0.9) | 4 (1.2) | 9 (4.5) | 1 (0.2) | 0 (0.0) | ||
The authors excluded social media platforms that were not used by the study participants (n = 0) as follows: Snapchat, Skype, Viber, Line, WeChat, Vkontakte, Badoo, and Myspace.
Calculated by Chi-squared (χ2) test, P-value significant at ≤ 0.05.
Figure 3Response to some questions with regard to the age of the study participants (n = 942).
A comparison of mean (±SD) scores for selected questions by demographic variables in a sample of 942 school students.
| Variables | Total (n = 942) | Gender | Age group (years) | |||||
|---|---|---|---|---|---|---|---|---|
| Female (n = 620) | Male (n = 322) | 6-9 (n = 205) | 10-14 (n = 556) | 15-18 (n = 181) | ||||
| Q4: Do you think that publishing more news related to COVID-19 on social media has spread fear and panic among the people? | 2.65 ± 0.67 | 2.63 ± 0.69 | 2.68 ± 0.64 | 0.036 | 2.55 ± 0.76 | 2.74 ± 0.59 | 2.51 ± 0.76 | <0.001 |
| Q5: Do you think the level of Palestinian pages, groups, and accounts on social media covering COVID-19 is good? | 1.98 ± 0.95 | 1.97 ± 0.95 | 2.00 ± 0.95 | 0.962 | 2.31 ± 0.89 | 1.93 ± 0.95 | 1.77 ± 0.91 | <0.001 |
| Q6: Have you published any information and news related to COVID-19 on social media? | 2.53 ± 0.78 | 2.51 ± 0.79 | 2.56 ± 0.75 | 0.025 | 2.54 ± 0.78 | 2.60 ± 0.72 | 2.31 ± 0.89 | <0.001 |
| Q7: Filters need to be set up for social media and a specific policy followed during humanitarian crises such as the spread of the COVID-19. | 2.61 ± 0.69 | 2.59 ± 0.72 | 2.64 ± 0.66 | 0.018 | 2.55 ± 0.76 | 2.68 ± 0.63 | 2.49 ± 0.77 | 0.002 |
Calculated by independent sample t-test to test for mean differences between the groups, P-value significant at ≤ 0.05.
Calculated by ANOVA, P-value significant at ≤ 0.05.
Figure 2Response to some questions with regard to the gender of the study participants (n = 942).
Type of information related to COVID-19 that impacts on creating panic on social media.
| Variables | Total (n = 942) n(%) | Gender | Age group (years) | |||||
|---|---|---|---|---|---|---|---|---|
| Female (n = 640) n(%) | Male (n = 322) n(%) | 6-9 (n = 205) n(%) | 10-14 (n = 556) n(%) | 15-18 (n = 181) n(%) | ||||
| Dissemination of the number of COVID-19 infections (A) | 38 (4.0) | 23 (3.7) | 15 (4.7) | 0.008 | 2 (1.0) | 31 (5.6) | 5 (2.8) | <0.001 |
| Dissemination of the death toll (B) | 9 (1.0) | 4 (0.6) | 5 (1.6) | 0 (0.0) | 6 9 (1.1) | 3 (1.7) | ||
| Dissemination of panic-inducing information about COVID-19 (C) | 50 (5.3) | 23 (3.7) | 27 (8.4) | 1 (0.5) | 31 (5.6) | 18 (9.9) | ||
| Posting of videos, photos, and news of the countries with a high number of cases (D) | 9 (1.0) | 7 (1.1) | 2 (0.6) | 0 (0.0) | 7 (1.3) | 2 (1.1) | ||
| Fake news about the COVID-19 outbreak (E) | 68 (7.2) | 46 (7.4) | 22 (6.8) | 2 (1.0) | 51 (9.2) | 15 (8.3) | ||
| Dissemination of the number of infections (A) and dissemination of the death toll (B) | 6 (0.6) | 5 (0.8) | 1 (0.3) | 1 (0.5) | 4 (0.7) | 1 (0.6) | ||
| Dissemination of the number of COVID-19 infections (A) and dissemination of panic-inducing information about COVID-19 (C) | 132 (14.0) | 81 (13.1) | 51 (15.8) | 32 (15.5) | 82 (14.8) | 18 (9.9) | ||
| Dissemination of the number of infections (A) and posting of videos and photos of the countries with a high number of cases (D) | 40 (4.2) | 19 (3.1) | 21 (6.5) | 5 (2.4) | 27 (4.9) | 8 (4.4) | ||
| Dissemination of the number of infections (A) and fake news about the COVID-19 outbreak (E) | 553 (58.7) | 386 (62.3) | 167 (51.9) | 150 (72.5) | 302 (54.5) | 101 (55.8) | ||
| Dissemination of the death toll (B) and dissemination of panic-inducing information about COVID-19 (C) | 19 (2.0) | 13 (2.1) | 6 (1.9) | 8 (3.9) | 3 (0.5) | 8 (4.4) | ||
| Others | 18 (1.9) | 13 (2.1) | 5 (1.6) | 6 (92.9) | 10 (1.8) | 2 (1.1) | ||
Calculated by Chi-squared (χ2) test, P-value significant at ≤ 0.05.
Summary of the impact of panic resulting from social media about COVID-19 between female vs. males and age groups.
| Variables | Total (n = 942) n(%) | Gender | Age group (years) | |||||
|---|---|---|---|---|---|---|---|---|
| Female (n = 640) n(%) | Male (n = 322) n(%) | 6-9 (n = 205) n(%) | 10-14 (n = 556) n(%) | 15-18 (n = 181) n(%) | ||||
| Psychological | 736 (78.1) | 539 (84.2) | 197 (61.2) | <0.001 | 141 (68.9) | 432 (77.6) | 163 (90.1) | <0.001 |
| Physical | 12 (1.3) | 11 (1.7) | 1 (0.3) | 4 (2.0) | 7 (1.3) | 1 (0.6) | ||
| Psychological and physical | 50 (5.3) | 37 (5.8) | 13 (4.0) | 21 (10.2) | 29 (5.2) | 0 (0.0) | ||
| All of them | 34 (3.6) | 27 (4.2) | 7 (2.2) | 2 (0.9) | 32 (5.8) | 0 (0.0) | ||
| I was not afraid | 110 (11.7) | 26 (4.1) | 104 (32.3) | 37 (18.0) | 56 (10.1) | 17 (9.4) | ||
Calculated by Chi-squared (χ2) test, P-value significant at ≤ 0.05.
The impact of social media on spreading panic: results form linear regression analysis.
| Model | Unstandardized coefficients | R | R2 | |||||
|---|---|---|---|---|---|---|---|---|
| B | SE | |||||||
| Constant | 0.594 | 0.035 | 16.895 | <0.001 | 0.891 | 0.793 | 3610.55 | <0.001 |
| Social media | 0.797 | 0.013 | 60.087 | <0.001 | N/A∗ | N/A | N/A | N/A |
∗N/A: Not applicable.