Jang, Kyungmyung

Kim, Dongyeon

Knapp, Deborah

Lee, Jinwoong

English

AIS Electronic Library (AISeL)

Association for Information Systems AIS Electronic Library (AISeL) SAIS 2023 Proceedings Southern (SAIS) 7-1-2023 Assessing and Controlling Social Desirability Bias in Cyberbullying Research Dongyeon Kim Kyungmyung Jang Jinwoong Lee Deborah Knapp Follow this and additional works at: https://aisel.aisnet.org/sais2023 Recommended Citation Kim, Dongyeon; Jang, Kyungmyung; Lee, Jinwoong; and Knapp, Deborah, "Assessing and Controlling Social Desirability Bias in Cyberbullying Research" (2023). SAIS 2023 Proceedings. 7. https://aisel.aisnet.org/sais2023/7 This material is brought to you by the Southern (SAIS) at AIS Electronic Library (AISeL). It has been accepted for inclusion in SAIS 2023 Proceedings by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact elibrary@aisnet.org. Kim et al.                                                                                                                            Assessing and Controlling SD Bias in Cyberbullying 25th Proceedings of the Southern Association for Information Systems Conference, Myrtle Beach, SC, USA March 24th–25th, 2023 1 Assessing and Controlling Social Desirability Bias in Cyberbullying Research  Dongyeon Kim Kent State University dkim32@kent.edu Kyungmyung Jang Mississippi State University kj1350@msstate.edu Jinwoong Lee Kent State University jlee138@kent.edu Deborah Knapp Kent State University dknapp1@kent.edu  ABSTRACT  Cyberbullying is defined as “an aggressive, intentional act carried out by a group or individual, using electronic forms of contact, repeatedly and over time against a victim who cannot easily defend him or herself” (Smith et al., 2008, p.376). Cyberbullying has the potential to disrupt or destroy the lives of children, adolescents, and their families (D’Auria, 2014). Cyberbullying is associated with negative outcomes for individuals and organizations, including anxiety, depression, substance abuse, murder, suicide, and others (Kowalski et al., 2014). Therefore, it is important to identify the causes and effects of cyberbullying to effectively prevent it. Much research has attempted to understand the determinants and consequences of cyberbullying based on the perspectives of victims, perpetrators, and bystanders (see Chan et al., 2021 for a review). Furthermore, prior research noted that perpetrators’ cyberbullying behavior is socially undesirable, social desirability (SD) bias should be assessed and controlled (Aboujaoude et al., 2015). Despite the fact, prior cyberbullying research has not paid much attention to SD bias from the perspectives of bystanders and victims. Since SD bias can contaminate variables, leading to a distortion in the causal relationships between dependent and independent varaibles, it is important to assess and control SD bias. Based on the research gaps, the purpose of this study is to assess and control SD bias in cyberbullying related behaviors in the context of victims, perpetrators, and bystanders. To assess SD bias, this study will use two methods: indirect questioning (Fisher, 1997) and SD scale using the 16 items of the balanced inventory of desirable responding (BIDR-16). Based on prior research (Kwak et al., 2021), the covariance technique will be used to control SD bias if SD bias is detected. We expect to contribute to research on cyberbullying and SD bias by examining SD bias in the perspectives of victims, perpetrators, and bystanders of cyberbullying. Keywords  Social Desirability Bias, Cyberbullying, Protection Motivation Theory, Social Desirability Scale REFERENCES 1. Kwak, D. H. A., Ma, X., & Kim, S. (2021). When does social desirability become a problem? Detection and reduction of social desirability bias in information systems research. Information & Management, 58(7), 103500. 2. Chan, T. K., Cheung, C. M., & Lee, Z. W. (2021). Cyberbullying on social networking sites: A literature review and future research directions. Information & Management, 58(2), 103411. 3. Aboujaoude, E., Savage, M. W., Starcevic, V., & Salame, W. O. (2015). Cyberbullying: Review of an old problem gone viral. Journal of adolescent health, 57(1), 10-18. 4. Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008). Cyberbullying: Its nature and impact in secondary school pupils. Journal of child psychology and psychiatry, 49(4), 376-385. 5. Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. Psychological bulletin, 140(4), 1073-1137. 6. D’Auria, J. P. (2014). Cyberbullying resources for youth and their families. Journal of Pediatric Health Care, 28(2), e19-e22. 7. Rogers, R. W. (1983). Cognitive and Physiological Processes in Fear Appeals and Attitude Change: A Revised Theory of Protection Motivation. In J. T. Cacioppo & R. E. Petty (Eds.), Social Psychophysiology: A Sourcebook (pp. 153-176). Guilford Press.  

Assessing and Controlling Social Desirability Bias in Cyberbullying Research

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Assessing and Controlling Social Desirability Bias in Cyberbullying Research

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