| Literature DB >> 35627694 |
Abstract
This study aims to explore the effects of personality traits on online rumor sharing during the novel coronavirus (COVID-19) pandemic and the mediating role of the fear of COVID-19 between them. We conducted this research using a web-based questionnaire distributed to 452 university students who were invited to fill it out. The partial least square structural equation modeling (PLS-SEM) method was used to test the data and model, with the yielded results demonstrating that three-extroversion, emotional instability, and conscientiousness-of the Big Five personality traits are positively related to a fear of COVID-19, with this fear positively affecting online rumor sharing. Moreover, fear of COVID-19 was found to act as a mediator between personality traits and online rumor sharing; thus, we can conclude that persons with high levels of extroversion, emotional instability, and conscientiousness are more likely to share rumors online due to a fear of COVID-19. This study furthers our understanding of the psychological mechanism by which personality traits influence online rumor sharing and provides references for anti-rumor campaigns taking place during the COVID-19 pandemic, as it identifies key groups and sheds light on the necessity of reducing people's fear of COVID-19.Entities:
Keywords: fear of COVID-19; online rumor sharing; the Big Five personality traits
Mesh:
Year: 2022 PMID: 35627694 PMCID: PMC9140700 DOI: 10.3390/ijerph19106157
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Definitions for the Big Five personality traits [23,24].
| Personality Traits | Definitions |
|---|---|
| Emotional Instability (Neuroticism) | The tendency to experience negative emotions, such as anger, anxiety, stress, and depression. |
| Extraversion | Pronounced engagement with the external world. |
| Conscientiousness | A tendency to show self-discipline and act dutifully. |
| Intellect (Openness to experience) | An appreciation for art, adventure, unusual ideas, and imagination. |
| Agreeableness | Individuals who value getting along with others |
Figure 1The research model. (Note: Time = Time spent on social media).
Demographic profile of participants (n = 452).
| Items | Content | Count | % |
|---|---|---|---|
| Gender | Male | 186 | 41.2 |
| Female | 266 | 58.8 | |
| Education | Undergraduate student | 398 | 88.1 |
| Graduate student | 54 | 11.9 | |
| Time spent on social media | 5 | 1.1 | |
| 1 < | 39 | 21.5 | |
| 2 < | 97 | 37 | |
| 3 < | 80 | 17.7 | |
| 4 < | 231 | 51.1 |
Reliability and validity analysis.
| Constructs | Items | Loading | α | rho_A | CR | AVE |
|---|---|---|---|---|---|---|
| Rumor Sharing | RS1 | 0.808 | 0.784 | 0.799 | 0.871 | 0.693 |
| RS2 | 0.824 | |||||
| RS3 | 0.864 | |||||
| Conscientiousness | CONS3 | 0.757 | 0.766 | 0.770 | 0.865 | 0.680 |
| CONS4 | 0.826 | |||||
| CONS5 | 0.808 | |||||
| Emotional Instability | EI2 | 0.809 | 0.824 | 0.850 | 0.882 | 0.651 |
| EI3 | 0.801 | |||||
| EI4 | 0.785 | |||||
| EI5 | 0.830 | |||||
| Extroversion | EXTR1 | 0.809 | 0.847 | 0.859 | 0.890 | 0.619 |
| EXTR2 | 0.799 | |||||
| EXTR3 | 0.791 | |||||
| EXTR4 | 0.813 | |||||
| Intellect | INT1 | 0.768 | 0.718 | 0.743 | 0.838 | 0.634 |
| INT2 | 0.830 | |||||
| INT3 | 0.788 | |||||
| Agreeableness | AGR1 | 0.871 | 0.805 | 0.826 | 0.869 | 0.625 |
| AGR2 | 0.741 | |||||
| AGR3 | 0.766 | |||||
| AGR4 | 0.788 | |||||
| Fear of COVID-19 | FEAR1 | 0.906 | 0.878 | 0.901 | 0.924 | 0.803 |
| FEAR2 | 0.849 | |||||
| FEAR3 | 0.932 |
Note: α = Cronbach’s α.
Assessment of discriminant validity (Fornell-Larker criterion).
| Constructs | AGR | CONS | EI | EXTR | FEAR | INT | RS |
|---|---|---|---|---|---|---|---|
| AGR |
| ||||||
| CONS | 0.254 |
| |||||
| EI | −0.131 | −0.116 |
| ||||
| EXTR | 0.194 | 0.379 | −0.175 |
| |||
| FEAR | 0.137 | 0.313 | 0.075 | 0.228 |
| ||
| INT | 0.403 | 0.478 | −0.062 | 0.370 | 0.187 |
| |
| RS | 0.183 | 0.338 | −0.099 | 0.335 | 0.527 | 0.291 |
|
Note: 1. The diagonal elements (in bold) are the square root of variance shared between the AVE, whereas the off-diagonal elements are correlations among constructs. 2. AGR = Agreeableness, CONS = Conscientiousness, EI = Emotional Instability, EXTR = Extroversion, FEAR = Fear of COVID-19, INT = Intellect, RS = Rumor Sharing.
Figure 2The research model. (Note: 1. *: p < 0.1, **: p < 0.01, ***: p < 0.001, ns: non-significant. 2. Time = Time spent on social media).
Results of the mediation analysis.
| Independent | Mediator | Dependent Variables | Direct Effects | Indirect Effects | Total | VAF | Hypotheses |
|---|---|---|---|---|---|---|---|
| Extroversion | Fear of | Rumor Sharing | 0.123 ** (2.627) | 0.065 ns (2.983) | 0.188 | 34.5% | H7a supported |
| Agreeableness | 0.031 ns (0.715) | 0.027 ** (1.211) | 0.059 | 45.7% | H7b not supported | ||
| Emotional Instability | −0.105 ** (2.642) | 0.063 ** (2.848) | −0.042 | −150% | H7c supported | ||
| Conscientiousness | 0.044 ns (0.715) | 0.119 *** (4.470) | 0.181 | 65.7% | H7d supported | ||
| Intellect | 0.124 ** (2.627) | −0.007 ns (0.291) | 0.117 | 5.9% | H7e not supported |
Note: **: p < 0.01, ***: p < 0.001, ns: non-significant.