Social contagion of cyberbullying via online perpetrator and victim networks

Yokotani, Kenji; Takano, Masanori

doi:10.1016/j.chb.2021.106719

Cited by 41 publications

(35 citation statements)

References 59 publications

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“…Additionally, we encourage policy experts and academics to test our theory in more real-world contexts. They can do so by replicating the experiments with real users of existing SVWs like Second Life, Minecraft, The Sims, etc., an approach used in some existing studies ( McCreery, Vallet & Clark, 2015 ; Yokotani & Takano, 2021 ). Second, the current study examines the immediate influence of representing oneself as an avatar on the user's psychological resilience.…”

Section: Discussionmentioning

confidence: 99%

The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic

Paul

Mohanty

Sengupta

2022

Computers in Human Behavior

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The 2020 COVID-19 pandemic has not only impacted the physical health of individuals but the fear and anxiety of contracting the disease has also contributed to psychological distress among people. The current research identifies a novel coping strategy to strengthen individuals' psychological resilience against the pandemic. Study 1 (N = 210) and Study 2 (N = 93) showed significant beneficial effect of representing oneself via avatar in social virtual world (SVW) on the psychological resilience towards contracting COVID-19. Study 2 also showed that this effect is explained by the disembodied (i.e., out-of-body) experience one encounters in the SVW by digitally representing oneself via an avatar), which enables SVW users to project themselves onto a character in a parallel world that is immune to the COVID-19 virus, thus alleviating the anxiety of contracting the virus themselves in the real world. Additionally, it ruled out alternate explanations like escapism and enjoyment. The findings extend the Proteus effect (i.e., individuals behaviorally conform with their avatar's visual/physical appearance) to a more innate feature of the avatar–its imperviousness from the human body's limitations. The results have important implications for health policy makers along with making a strong case for marketing computer-simulated games like SVWs as virtual therapy tools.

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Section: Discussionmentioning

confidence: 99%

The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic

Paul

Mohanty

Sengupta

2022

Computers in Human Behavior

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“…Yokotani and Takano [147] studied the spread of cyberbullying trends via online social networks. They used a 2-dimensional convolutional neural network, bidirectional long-short term memory (LSTM), and an attention framework to identify the perpetrator-to-victim relationship.…”

Section: Text-based Cyberbullying Detectionmentioning

confidence: 99%

“…Similarly, he/she may comfort or stand with the victim or remain silent. Moreover, it was found that a higher rate of cyberbullying victims among the peer networks increases the risk of victimization of cyberbullying [147]. Similarly, more perpetrators among [81] recognized bullying temporal patterns in the predator's questions using time series modeling methodology.…”

Section: Automated Cyberbullying Monitoring and Intervention Systemmentioning

confidence: 99%

A Systematic Review of Machine Learning Algorithms in Cyberbullying Detection: Future Directions and Challenges

Arif

2021

JISCR

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Social media networks are becoming an essential part of life for most of the world’s population. Detecting cyberbullying using machine learning and natural language processing algorithms is getting the attention of researchers. There is a growing need for automatic detection and mitigation of cyberbullying events on social media. In this study, research directions and the theoretical foundation in this area are investigated. A systematic review of the current state-of-the-art research in this area is conducted. A framework considering all possible actors in the cyberbullying event must be designed, including various aspects of cyberbullying and its effect on the participating actors. Furthermore, future directions and challenges are also discussed.

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“…The first-wave survey was conducted from April 26 to May 2, 2020, and the second-wave survey was conducted from June 1 to 7, 2020. Similarly as in a previous study [22,23], we analyzed 3504 participants in the first wave, who agreed to the study and completed our questionnaire survey without any missing data. Participants with missing data were excluded [22,23].…”

Section: A) Source Of Datamentioning

confidence: 99%

“…Similarly as in a previous study [22,23], we analyzed 3504 participants in the first wave, who agreed to the study and completed our questionnaire survey without any missing data. Participants with missing data were excluded [22,23]. Similarly, we analyzed 658 participants in the second wave who completed the first and second wave surveys without any missing data.…”

Section: A) Source Of Datamentioning

confidence: 99%

Social rhythms measured via social media use for predicting psychiatric symptoms

Yokotani

Takano

2021

SIP

Self Cite

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Social rhythms have been considered as relevant to mood disorders, but detailed analysis of social rhythms has been limited. Hence, we aim to assess social rhythms via social media use and predict users' psychiatric symptoms through their social rhythms. A two-wave survey was conducted in the Pigg Party, a popular Japanese avatar application. First and second waves of data were collected from 3504 and 658 Pigg Party users, respectively. The time stamps of their communication were sampled. Furthermore, the participants answered the General Health Questionnaire and perceived emotional support in the Pigg Party. The results indicated that social rhythms of users with many social supports were stable in a 24-h cycle. However, the rhythms of users with few social supports were disrupted. To predict psychiatric symptoms via social rhythms in the second-wave data, the first-wave data were used for training. We determined that fast Chirplet transformation was the optimal transformation for social rhythms, and the best accuracy scores on psychiatric symptoms and perceived emotional support in the second-wave data corresponded to 0.9231 and 0.7462, respectively. Hence, measurement of social rhythms via social media use enabled detailed understanding of emotional disturbance from the perspective of time-varying frequencies.

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Social contagion of cyberbullying via online perpetrator and victim networks

Cited by 41 publications

References 59 publications

The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic

The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic

A Systematic Review of Machine Learning Algorithms in Cyberbullying Detection: Future Directions and Challenges

Social rhythms measured via social media use for predicting psychiatric symptoms

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