Is it Because of I’m Famous, Success or Rich: Why Social Media Influencer become a Victim of Cyberbullying on Social Media?

Abidin, C. (2018). "Aren't these just young, rich women doing vain things online??": influencer selfies as subversive frivolity. Social Media + Society, 2 (2).
https://doi.org/10.1177/2056305116641342.
Anderson, M., & Jiang, J. (2018). Teens, social media & technology. Pew Research Center [Internet & American Life Project], 1–9. Retrieved from
http://publicservicesalliance.org/wp-content/uploads/2018/06/Teens-Social-Media-Technology-2018-PEW.pdf.
Balaban, D., & Maria, M. (2019). Users ’ perspective on the credibility of social media influencers in Romania and Germany. Romanian Journal of Communication and Public Relations, 21(1), 31–46.
Balakrishnan, V., & Norman, A. (2020). Psychological motives of cyberbullying among Malaysian young adults psychological motives of cyberbullying among Malaysian. Asia Pacific Journal of Social Work and Development, 00(00), 1–14.
https://doi.org/10.1080/02185385.2020.1772101
Baldry, A. C., Farrington, D. P., Sorrentino, A., Costanza, A., Farrington, D. P., & Baldry, A. C. (2017). School bullying and cyberbullying among boys and girls?: roles and overlap school bullying and cyberbullying among boys and girls?: roles and overlap. Journal of Aggression, Maltreatment & Trauma, 00(00), 1–15.
https://doi.org/10.1080/10926771.2017.1330793
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research?: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51 (6), 1173–1182.
Bastos, M., & Mercea, D. (2018). The public accountability of social platforms?: lessons from a study on bots and trolls in the Brexit campaign. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, 376(2128).
doi: 10.1098/rsta.2018.0003
Bista, K. (2017). Examining factors impacting online survey response rates in educational research: perceptions of graduate students. Online Submission, 13(2), 63–74.
Cabañes, J. V. A., & Jonathan, C. O. (2018). Architects of networked disinformation: Behind the scenes of troll accounts and fake news production in the philippines. Communication Department Faculty Publication University of Massachusetts. doi.org/10.7275/2cq4-5396
Campbell-Smith, U., & Bradshaw, S. (2019). Global cyber troops country profile?: India. Oxford Internet Institutes, 1–9.
Connor, M. O., & Carolina, N. (2020). Campbell law review defamation in the age of social media?: why north carolina's " micro-influencers " should be classified as limited purpose public figures defamation in the age of social media. Howard Law Journal, 42(2).
Daniel, E. (2016). The usefulness of qualitative and quantitative approaches and methods in researching problem-solving ability in science education curriculum. Journal of Education Practice, 7 (15), 91–100.
Duffy, B. E., & Hund, E. (2015). “ Having it All ” on social media?: entrepreneurial femininity and self-branding among fashion bloggers. Social Media + Society.
doi.org/10.1177/20530511504337
Gorbatov, S., Khapova, S. N., & Lysova, E. I. (2018). Personal branding?: Interdisciplinary systematic review and research agenda. Frontiers in Psychology, 9.
https://doi.org/10.3389/fpsyg.2018.02238
Haidar, B., Chamoun, M., & Serhrouchni, A. (2017). A multilingual system for cyberbullying detection?: Arabic content detection using machine learning. Advance Science Technology, 2 (6), 275-24. https://doi.org/10.25046/aj020634
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). Partial least squares structural equation modeling (PLS-SEM). Sage Publisher.
Hair, J. F., Henseler, J., Dijkstra, T. K., Sarstedt, M., Hair, J. F.?;, Henseler, J., & Dijkstra, T. K. (2014). Common beliefs and reality about partial least squares: Comments on Rönkkö and Evermann recommended citation. Organizational Research Methods.
Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review. https://doi.org/10.1108/EBR-10-2013-0128
Hassan, S., Yacob, M. I., Nguyen, T., & Zambri, S. (2018). Social media influencer and cyberbullying?: a lesson learned from preliminary findings. Paper presenting at Knowledge Management International Conference (KMICe) 2018, 25 –27 July 2018, Miri Sarawak, Malaysia.
Heiman, T., Olenik-Shemesh, D., & Frank, G. (2019). Patterns of coping with cyberbullying: emotional, behavioral, and strategic coping reactions among middle school students. Violence and Victims, 34(1), 28–45. https://doi.org/10.1891/0886-6708.34.1.28
Hinduja, S., & Patchin, J. W. (2018). Connecting adolescent suicide to the severity of bullying and cyberbullying connecting adolescent suicide to the severity of bullying and cyberbullying. Journal of School Violence, 00(00), 1–14.
https://doi.org/10.1080/15388220.2018.1492417
Janjira, S. (2018). Manipulating civic space?: Cyber trolling in Thailand and the Philippines. GIGA Focus Asien 3. 0–12.
Kane, E. W., & Macaulay, L. J. (1993). Interviewer gender and gender attitudes. Public Opinion Quarterly, 57(1), 1–28. https://doi.org/10.1086/269352
Kaupe, M. (2019). A content analysis of caregiver’s computer-mediated communication on loneliness. Master's Theses (2009 -). 555
https://epublications.marquette.edu/theses_open/555
Kay, S., Mulcahy, R., & Parkinson, J. (2020). When less is more?: the impact of macro and micro social media influencers ’ disclosure. Journal of Marketing Management, 00(00), 1–31. https://doi.org/10.1080/0267257X.2020.1718740
Kies, B. (2021). Remediating the celebrity roast: The place of mean tweets on late-night television. Television and New Media, 22(5), 516–528.
https://doi.org/10.1177/1527476419892581
Kock, N. (2017). Common method bias: A full collinearity assessment method for PLS-SEM. In Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues, and Applications. https://doi.org/10.1007/978-3-319-64069-3_11
Lou, N. M., Chaffee, K. E., & Lascano, D. I. V. (2018). Complementary perspectives on autonomy in selfdetermination theory and language learner autonomy. TESOL Quarterly, 52(1), 210-220. https://doi.org/10.1002/tesq.403
Nair, C. S., & Adams, P. (2009). Survey platform: A factor influencing online survey delivery and response rate. Quality in Higher Education, 15(3), 291–296.
https://doi.org/10.1080/13538320903399091
Pawelz, J., & Elvers, P. (2018). The digital hood of urban violence: exploring functionalities of social media and music among gangs. Journal of Contemporary Criminal Justice, 34(4), 442–459. https://doi.org/10.1177/1043986218787735
Maly, I. (2020). Metapolitical new right influencers?: The case of Brittany Pettibone. Social Sciences, 9 (7), 113. MDPI AG. http://dx.doi.org/10.3390/socsci9070113
Pieschl, S., & Porsch, T. (2017). The complex relationship between cyberbullying and trust. International Journal of Developmental Sciences, 11(1–2), 9–17. https://doi.org/10.3233/DEV-160208
Rajapaksha, P., Farahbakhsh, R., Crespi, N., & Defude, B. (2019). Uncovering flaming events on news media in social media. 2019 IEEE 38th International Performance Computing and Communications Conference, IPCCC 2019.
https://doi.org/10.1109/IPCCC47392.2019.8958759
Redmond, P., Lock, J. V, Smart, V., Street, W., Smart, V., & Street, W. (2018). Pre-service teachers’ perspectives of cyberbullying. Computers & Education.
https://doi.org/10.1016/j.compedu.2017.12.004
Robinson, Y., & Petherick, W. (2017). Circumscribing cyberbullying: Toward a mutual definition and characterizations of aggression, assault, and recklessness via telecommunications technology. The Psychology of Criminal and Antisocial Behavior. https://doi.org/10.1016/B978-0-12-809287-3.00010-9
Seo, E. J., & Park, J. W. (2018). A study on the effects of social media marketing activities on brand equity and customer response in the airline industry. Journal of Air Transport Management, 66, 36–41. https://doi.org/10.1016/j.jairtraman.2017.09.014
So, L. Y. (2011). Awareness of invasion of privacy on social networking site among youth in malaysia: A case study of facebook. Final Year Project. University of Tunku Abdul Rahman.
Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and controlling for common method variance: a review of available methods. Journal of Management Sciences, 4(2), 142–168. https://doi.org/10.20547/jms.2014.1704202
Waheed, M. (2019). Online threats and risky behavior from the perspective of Malaysian youths. SEARCH (Malaysia), 11(2), 57–71.
Wegge, D., Vandebosch, H., Eggermont, S., & Pabian, S. (2016). Popularity through online harm?: The longitudinal associations between cyberbullying and sociometric status in early adolescence. The Journal of Early Adolescence, 36(1), 86-107. https://doi.org/10.1177/0272431614556351
Zimmer-gembeck, M. J., & Webb, H. J. (2017). Body image and peer relationships?: Unique associations of adolescents ' social status and competence with peer- and self-reported appearance victimization. Journal of Adolescence, 61(October), 131–140. https://doi.org/10.1016/j.adolescence.2017.10.002

In-Text Citation: (Rashid, 2022)
To Cite this Article: Rashid, F. H. A., Omar, S. Z., Bolong, J., & Abas, W. A. W. (2022). Is it Because of I’m Famous, Success or Rich: Why Social Media Influencer become a Victim of Cyberbullying on Social Media? International Journal of Academic Research in Business and Social Sciences, 12(1), 1192 – 1211.

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