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Proceeding Paper

The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic †

School of Medical and Life Sciences, Sunway University, 5, Jalan Universiti, Bandar Sunway, Petaling Jaya 47500, Selangor, Malaysia
*
Author to whom correspondence should be addressed.
Presented at the International Academic Symposium of Social Science 2022, Kota Bharu, Malaysia, 3 July 2022.
Proceedings 2022, 82(1), 101; https://doi.org/10.3390/proceedings2022082101
Published: 18 October 2022
(This article belongs to the Proceedings of International Academic Symposium of Social Science 2022)

Abstract

:
The introduction of the online educational system during the COVID-19 pandemic has increased the vulnerability to cyberbullying incidents among adolescents. This study examined the relationship between cyberbullying training and depression among Malaysian adolescents during the COVID-19 pandemic. A total of 1356 Malaysian adolescents participated in the online survey. Results revealed that depression was significantly associated with cyberbullying training. This study concluded that cyberbullying training can protect individuals from depression caused by cyberbullying. Female adolescents were found more vulnerable to depression than males during the COVID-19 pandemic. Therefore, we advocate that cyberbullying training is essential to be enforced in the current Malaysian schools’ curriculum.

1. Introduction

The evolution of technology has created an artificial online world which makes information dissemination and communication convenient and easily accessible. As a result, the Internet has dominated the lives of modern people, especially adolescents [1]. The imposed Movement Control Operation (MCO) rules have made physical interaction difficult, while it has gradually been replaced by online interaction through the existing social networking sites (SNSs) such as WhatsApp, Facebook, Twitter, etc, [2,3]. Hinduja and Patchin [4] identified that Internet deviant behaviors were prevalent among adolescents and directly influenced the well-being of the online population. Accordingly, cyberbullying has risen as an imminent issue amid intensive Internet use [5]. Smith [6] defined cyberbullying as a series of acts that involve the cyber-perpetrators constantly inflicting harm and aggressiveness towards the victim through electronic-assisted technology. Many studies found that there was a growth in cyberbullying cases during the COVID-19 pandemic [7,8,9]. Wang et al. [10] found that individuals were at a greater risk of being cyberbullied during this pandemic, which can lead to hopelessness and loneliness, which are risk factors for depression. To highlight, Hase et al. [11] and Wright [12] found an association between cyberbullying and depression, while Limone and Toto [13] saw the impact of intensive Internet use during COVID-19, causing depression.
Many cyberbullying interventions and trainings have been designed to prevent cyberbullying perpetration and to countermeasure the negative impact of cyberbullying, for instance, The Media Heroes program [14], Surf-fair [15], Conrad [16], Noncadiamointrappola [17], The Kiva Program [18], and Help-Assert Yourself-Humor-Avoid-Self-Talk-Own [19]. Malaysia also previously launched a cyberbullying campaign (Nethics) which aimed to educate online users on social etiquette on the Internet and prevention strategies for cyberbullying [20]. Gaffney et al. [21] conducted a meta-analysis on 24 cyberbullying interventions and concluded that the current programs showed effectiveness in preventing cyberbullying; typically, they can reduce cyberbullying victimization. These interventional training can help individuals to be prepared encountering cyberbullying issues. In this study, the cyberbullying training experience refers to any of the interventional-based cyberbullying training that had been experienced by the participants which including the school-based cyberbullying training, corporate-based cyberbullying training, online-based cyberbullying training, and especially those mentioned above. Anticipating the growing trend of cyberbullying intervention studies in the future, the research hypotheses were shown below:
  • There was a significant association between the cyberbullying training experience and the likelihood of individuals helping a friend who had been cyberbullied.
  • There was a significant association between cyberbullying training experience and depression.
  • There was a significant association between gender and depression.

2. Methodology

This study received ethical approval from the Sunway Ethics Review Board (SUREC 2018/018). The data collected in this study was part of the overall data collection via a survey initiated by a Malaysian telecom corporate. This survey was launched in Survey Monkey and the participants were recruited through convenience sampling. In this study, we had strictly set the criteria to include only the participants aged 13 to 18 years old, who were also Malaysian and able to provide informed consent. To comply with the rights of the participants, they were briefed through using the online written information sheets and were also required to provide their informed consent on the same webpage before answering the survey. Besides, we had put all questions as compulsory to answer in the survey to address the missing value problem, but the participants were advised to withdraw from the study voluntarily if they were reluctant to answer any of the questions provided.
This questionnaire was made up of the dichotomous scales developed jointly by the telecom corporate and the cyberbullying experts. The questions were designed to understand the cyberbullying experience, cyberbullying training experience, adolescents’ habits of assessing the Internet, etc. In addition, the subscale of “Depression” of the Depression, Anxiety, and Stress Scale (DASS-21) [22] was included in the questionnaire to assess the level of depression of the participants. It was made up of a total of 7 items and the scoring of the scale was calculated such that the addition of the 7 items was multiplied by 2. We followed the cut-off score determined originally, as follows: scores of 0 to 9 were indicated as having no depression, a score of 10–13 indicated mild depression, a score of 14 to 20 indicated moderate depression, scores of 21 to 27 indicated severe depression, and scores of 28 and above indicated extremely severe depression.
We used SPSS (Statistical Package for the Social Sciences Version 26, IBM, Armonk, NY, USA) [23] to perform the data analysis in this study. To highlight, a crosstab analysis was used to investigate the significant difference between individuals who had received cyberbullying training previously, and the likeliness of individuals to help a friend who had been cyberbullied. The binary logistic regression was used to measure the relationship between depression in individuals who had received cyberbullying training previously, and gender.

3. Results

3.1. Descriptive Statistics

There was a total of 1356 participants who took part in this study. The mean, standard deviation, skewness, and kurtosis of the variables were shown in Table 1. Table 2 showed the demographics of the participants. Of the participants, 57.2% were male, and 58% of them were individuals aged between 13 and 15 years old, compared to those aged between 16 and 18 years old, while Chinese people made up the majority of the participants (58.7%). Additionally, only 4.5% of the participants reported having experienced cyberbullying in the last 3 months, 44.0% of them reported having underwent a cyberbullying training previously, and 51% of them had displayed at least a mild level of depression.

3.2. Hypotheses Testing

In Table 3, we found that there was an association between individuals who had previously received cyberbullying training and the likeliness of individuals to help a friend who had been cyberbullied (X2 = 63.559, p-value < 0.000). To highlight, people who had received cyberbullying training were more “Very likely” to help a friend who had been cyberbullied (70.4%) compared to their counterparts (51.8%). Similarly, individuals who had not undergone cyberbullying training were more reluctant to help (e.g., “Not likely at all” (4.4%), “Not very likely” (11.2%)).
We excluded those participants who had self-reported not experiencing cyberbullying in the last 3 months, and only 235 participants were included in the logistic regression analysis. The results in Table 4 showed that depression was significantly associated with the female gender (OR = 2.117, C.I. = 1.084, 4.133) and participants who had previously been receiving cyberbullying training (OR = 0.453, C.I. = 0.239, 0.859).

4. Discussion

The result showed that there was a significant association between individuals who had previously received cyberbullying training and the likelihood of individuals helping a friend who had been cyberbullied. Liu et al. [24] found that cyberbullying bystanders will help the cyber-victims based on their perception of the critical level of the cyberbullying situation and the urgency of helping the cyber-victims. Those who had undergone the cyberbullying training were more aware of the negative outcomes of cyberbullying and thus were more likely to see cyberbullying more importantly compared to those who were without the cyberbullying training experience. Additionally, empathy was generally found to be a crucial factor that pushes a bystander to help a victim [25,26,27]. Hence, most of the cyberbullying interventions were tailor made to boost individuals’ empathy levels and equipped them with prevention strategies and healthy coping mechanisms [28]. To highlight, The Media Heroes Project [14] reinforced the empathy and perspective-taking of individuals to approach a potential cyberbullying case. According to the empathy–altruism hypothesis [29], people were more likely to help those for whom they felt empathy. Therefore, the trained “empathy” in the cyberbullying program could encourage individuals to help those who encountered the cyberbullying perpetration.
Our findings showed that females were at a higher risk than males of developing depression. It was consistent with previous studies [30,31]. Kuehner [32] explained that it might be caused by the artefact hypotheses and the biological, psychological, and environmental differences. Artefact hypotheses implied that males were less likely to recognize depression than females, while Eid et al. [33] suggested that females were more vulnerable to mental disorders due to their differential body response to stressors compared to males. Concerning the psychological component, Costa et al. [34] found that females were more susceptible to neuroticism compared to males, which appeared to be a potential risk factor for depression despite the mixed findings in the literature [35,36]. Hankin et al. [37] also found that female adolescents will face more interpersonal environmental stresses such as peer chronic stress compared to male adolescents, which makes them more vulnerable to depression.
We found that individuals who had undergone previous cyberbullying training will be less likely to develop depression compared to their counterparts. This finding was consistent with the literature which stated that cyberbullying intervention can prevent cyber-victimization [21]. The learning outcomes from the cyberbullying training act as a protective factor that help to shield them from the negative psychological influences. Cyberbullying-trained individuals were generally well-versed in cyberbullying issues, while most of them were taught scientific coping strategies against cyberbullying perpetration [28]. As a result, cyberbullying training helped individuals properly cope with the psychological impact of cyberbullying perpetration such as depression.

Implications

The present study showed that cyberbullying training can be a crucial component shielding individuals from the negative psychological impacts derived from the cyberbullying perpetration. Besides, individuals who had undergone cyberbullying trainings were more likely to help their peers who were encountering cyberbullying issues. Therefore, it is important for the policy makers to enforce the cyberbullying training and intervention into the schools’ curriculum. We envisioned that the exposure of cyberbullying training towards adolescents can be extremely beneficial for them to face the ever common occurrence of the cyberbullying cases, while better equipping them with the competent skills to deal with the cyberbullying perpetration and victimization.
This study had also revealed that female adolescents were more vulnerable to the negative impact of cyberbullying. Therefore, it was important for parents and teachers to pay a greater attention on the well-being of the female adolescents while providing them with care and empathy, noticing any symptoms of depression.

5. Conclusions

This study found that many individuals were experiencing at least a mild level of depression despite most of them not experiencing cyberbullying in the last 3 months. The findings suggested that cyberbullying training was a protective factor to prevent individuals from experiencing depression that was caused by cyberbullying perpetration and victimization. This was aided by the coping skills that had been taught in most of the cyberbullying intervention programs. Additionally, people who had previous cyberbullying training experience displayed a higher level of willingness to help a friend who was facing a cyberbullying issue. As they were coming in with greater awareness of the cyberbullying issue, their empathy level to offer help was strengthened. We also found that female adolescents were at a greater risk of developing depression compared to male adolescents. Therefore, more attention should be given to them during this difficult period amid the pandemic.

Author Contributions

Conceptualization, K.Y.P. and P.B.O.; methodology, W.L.K.; formal analysis, K.Y.P.; data curation, P.B.O.; visualization, K.Y.P.; validation, P.B.O.; writing—original draft preparation, K.Y.P.; writing—review and editing, W.L.K., J.H.J.T. and R.W.L.; supervision, P.B.O.; project administration, K.Y.P., W.L.K., J.H.J.T., R.W.L. and P.B.O. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted approved by the Institutional Review Board of Sunway Ethics Review Board (protocol code SUREC 2018/018 and 2018).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

We are grateful to all the participants who had given their consent to join this study. We appreciate the effort of Sunway University Review Board to ameliorate our proposal for methodological and ethical concerns. We would also like to thank the telecom corporate company who had kindly shared their data with us.

Conflicts of Interest

The authors declare no conflict of interest.

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Table 1. The descriptive statistics information.
Table 1. The descriptive statistics information.
VariablesMeanStd. DeviationSkewnessKurtosis
Depression10.9210.1270.775<0.000
Table 2. Demographics (n = 1356).
Table 2. Demographics (n = 1356).
VariablesFrequency (n)Percentage (%)
Gender
Male77657.2
Female58042.8
Age
13-15 years old78658.0
16-18 years old57042.0
Race
Malay33724.9
Chinese79658.7
Indians20014.7
Others231.7
Cyberbullying experience
Yes614.5
No112182.7
Prefer not to say17412.8
Previously had been receiving cyberbullying training
Yes60944.0
No74755.1
Depression score
Absent66549.0
Mild967.1
Moderate35826.4
Severe1319.7
Extremely severe1067.8
Table 3. Chi-square test (n = 1356).
Table 3. Chi-square test (n = 1356).
VariablesPreviously Had Received
Cyberbullying Training
No (%)Yes (%)Total
How likely would you help a friend who had been cyberbullied
Not likely at all33 (4.4)7 (1.1)40
Not very likely84 (11.2)25 (4.1)109
I don’t know205 (27.4)134 (22.0)339
Somewhat likely38 (5.1)14 (2.3)52
Very likely387 (51.8)429 (70.4)816
Total7476091356
Pearson Chi-square63.559
Degree of freedom4
p-value<0.000
Table 4. Logistic regression (n = 235).
Table 4. Logistic regression (n = 235).
VariableDepressionNagelkerke R Square
OR95% C.I.
Gender 0.067
Male (Ref)--
Female2.117 *(1.084, 4.133)
Previously receiving cyberbullying training
No (Ref)--
Yes0.453 *(0.239, 0.859)
* p < 0.05.
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MDPI and ACS Style

Pang, K.Y.; Ku, W.L.; Teng, J.H.J.; Lew, R.W.; Ooi, P.B. The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic. Proceedings 2022, 82, 101. https://doi.org/10.3390/proceedings2022082101

AMA Style

Pang KY, Ku WL, Teng JHJ, Lew RW, Ooi PB. The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic. Proceedings. 2022; 82(1):101. https://doi.org/10.3390/proceedings2022082101

Chicago/Turabian Style

Pang, Khong Yun, Wen Li Ku, Jaclyn Hui Jie Teng, Ren Wen Lew, and Pei Boon Ooi. 2022. "The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic" Proceedings 82, no. 1: 101. https://doi.org/10.3390/proceedings2022082101

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