Abell, L., & Brewer, G. (2014). Machiavellianism, self-monitoring, self-promotion and relational aggression on Facebook. Computers in Human Behavior, 36, 258–262. https://doi.org/10.1016/j.chb.2014.03.076CrossRefGoogle Scholar

Aboujaoude, E., & Savage, M. W. (2023). Cyberbullying: Next‐generation research. World Psychiatry, 22(1), 45–46. https://doi.org/10.1002/wps.21040CrossRefGoogle ScholarPubMed

Achuthan, K., Nair, V. K., Kowalski, R., Ramanathan, S., & Raman, R. (2022). Cyberbullying research – Alignment to sustainable development and impact of COVID-19: Bibliometrics and science mapping analysis. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2022.107566Google Scholar

Afzal, W., Latif, S., & Siddique, A. (2021). Dark Triad, cyberbullying and psychological distress among adolescents. Education Sciences & Psychology, 59(2), 71–76.Google Scholar

Ahmad, H., Arif, A., Khattak, A. M., Habib, A., Asghar, M. Z., & Shah, B. (2020). Applying deep neural networks for predicting Dark Triad personality trait of online users. 2020 International Conference on Information Networking (ICOIN), 102–105.CrossRefGoogle Scholar

Akat, M., Arslan, C., & Hamarta, E. (2022). Dark Triad personality and phubbing: The mediator role of Fomo. Psychological Reports. https://doi.org/10.1177/00332941221109119Google ScholarPubMed

Akdeniz, S., Budak, H., & Ah21çi, Z. G. (2022). Development of a scale of narcissism in social media and investigation of its psychometric characteristics. International Education Studies, 15(1), 200–209. https://doi.org/10.5539/ies.v15n1p200CrossRefGoogle Scholar

Akhter, S., Islam, M. H., Haider, S. K. U., Ferdous, R., & Runa, A. S. (2022). Moderating effects of gender and passive Facebook use on the relationship between social interaction anxiety and preference for online social interaction. Journal of Human Behavior in the Social Environment, 32(6), 719–737. https://doi.org/10.1080/10911359.2021.1955801CrossRefGoogle Scholar

Alavi, M., Latif, A. A., Ramayah, T., & Tan, J. Y. (2022). Dark tetrad of personality, cyberbullying, and cybertrolling among young adults. Current Psychology, 1–11. https://doi.org/10.1007/s12144-022-03892-4Google Scholar

Alipan, A., Skues, J., Theiler, S., & Wise, L. (2015). Defining cyberbullying: A multiple perspectives approach. In Annual Review of Cybertherapy and Telemedicine: Virtual Reality in Healthcare: Medical Simulation and Experiential Interface (Vol. 219, pp. 9–13). https://doi.org/10.3233/978-1-61499-595-1-9CrossRefGoogle Scholar

Alotaibi, F. M., Asghar, M. Z., & Ahmad, S. (2021). A hybrid CNN-LSTM model for psychopathic class detection from tweeter users. Cognitive Computation, 13(3), 709–723.CrossRefGoogle Scholar

Alqahtani, N., Innab, A., Alammar, K., Alkhateeb, R., Kerari, A., & Alharbi, M. (2022). Cyberloafing behaviours in nursing: The role of nursing stressors. International Journal of Nursing Practice, Early view, 1–10 https://doi.org/10.1111/ijn.13079Google ScholarPubMed

Aluja, A., Garcia, L. F., Rossier, J., Ostendorf, F., Glicksohn, J., Oumar, B., … & Hansenne, M. (2022). Dark triad traits, social position, and personality: A cross-cultural study. Journal of Cross-Cultural Psychology, 53(3–4), 380–402. https://doi.org/10.1177/00220221211072816CrossRefGoogle Scholar

American Psychiatric Association. (1987). Diagnostic and Statistical Manual of Mental Disorders (3rd ed., Revised (DSM-III-R)). Washington, DC: American Psychiatric Press.Google Scholar

American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders (4th ed., text revision). Washington, DC: American Psychiatric Association.Google Scholar

American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Retrieved from www.psi.uba.ar/academica/carrerasdegrado/psicologia/sitioscatedras/practicas_profesionales/820_clinica_tr_personalidad_psicosis/material/dsm.PdfGoogle Scholar

Amichai-Hamburger, Y. (2005). Personality and the Internet. In Amichai-Hamburger, Y. (Ed.), The Social Net: Human Behavior in Cyberspace (pp. 27–55). Oxford University Press.Google Scholar

Amon, M. J., Necaise, A., Kartvelishvili, N., Williams, A., Solihin, Y., & Kapadia, A. (2023). Modeling user characteristics associated with interdependent privacy perceptions on social media. ACM Transactions on Computer-Human Interaction. http://dx.doi.org/10.1145/3577014CrossRefGoogle Scholar

Andel, S. (January 2020). Why bosses should let employees surf the web at work. The Conversation. Retrieved from https://theconversation.com/why-bosses-should-let-employees-surf-the-web-at-work-128444Google Scholar

Andreassen, C. S. (2015). Online social network site addiction: A comprehensive review. Current Addiction Reports, 2(2), 175–184. https://doi.org/10.1007/s40429-015-0056-9CrossRefGoogle Scholar

Andreassen, C. S., & Pallesen, S. (2014). Social network site addiction – An overview. Current Pharmaceutical Design, 20, 4053–4061.CrossRefGoogle ScholarPubMed

Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017). The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287–293. https://doi.org/10.1016/j.addbeh.2016.03.006CrossRefGoogle ScholarPubMed

Ansari, S. (2020). From the scammer perspective: Predispositions towards online fraud motivation and rationalization. Doctoral dissertation, Purdue University Graduate School.Google Scholar

Antoniadou, N., Kokkinos, C. M., & Markos, A. (2019). Psychopathic traits and social anxiety in cyber-space: A context-dependent theoretical framework explaining online disinhibition. Computers in Human Behavior, 99, 228–234.CrossRefGoogle Scholar

Aplin-Houtz, M. J., Leahy, S., Willey, S., Lane, E. K., Sharma, S., & Meriac, J. (2023). Tales from the dark side of technology acceptance: The Dark Triad and the technology acceptance model. Employee Responsibilities and Rights Journal, 1–33. https://doi.org/10.1007/s10672-023-09453-6Google Scholar

Asghar, J., Akbar, S., Asghar, M. Z., Ahmad, B., Al-Rakhami, M. S., & Gumaei, A. (2021) Detection and classification of psychopathic personality trait from social media text using deep learning model. Computational and Mathematical Methods in Medicine, 5512241. https://doi.org/10.1155/2021/5512241Google Scholar

Asih, S. R. (2023). The Dark Triad personality in relation to cyberbullying: The role of self-esteem as a mediator [Hubungan Kepribadian Dark Triad dan Cyberbullying: Peran Self-Esteem Sebagai Mediator]. ANIMA Indonesian Psychological Journal, 38(1), 038104. https://doi.org/10.24123/aipj.v38i1.4113CrossRefGoogle Scholar

Aviram, I., & Amichai-Hamburger, Y. (2005). Online infidelity: Aspects of dyadic satisfaction, self-disclosure, and narcissism. Journal of Computer-Mediated Communication, 10(3), JCMC1037. https://doi.org/10.1111/j.1083-6101.2005.tb00249.xGoogle Scholar

Azami, M. S., & Taremian, F. (2021). Risk factors associated with cyberbullying, cyber victimization, and cyberbullying-victimization in Iran’s high school students. Iranian Journal of Psychiatry, 16(3), 343–352. https://doi.org/10.18502/ijps.v16i3.6261Google ScholarPubMed

Azzahra, K. A., & Sihwi, S. W. (August 2022). Dark Triad personality traits prediction through Twitter analysis using support vector machine method. In 2022 1st International Conference on Smart Technology, Applied Informatics, and Engineering (APICS) (pp. 102–107). IEEE.Google Scholar

Babiak, P., & Hare, R. D. (2006). Snakes in Suits: When Psychopaths Go to Work. New York: Regan Books.Google Scholar

Baheer, R., Khan, K. I., Rafiq, Z., & Rashid, T. (2023). Impact of Dark Triad personality traits on turnover intention and mental health of employees through cyberbullying. Cogent Business & Management, 10(1), 2191777. https://doi.org/10.1080/23311975.2023.2191777CrossRefGoogle Scholar

Balakrishnan, V., Khan, S., & Arabnia, H. R. (2020). Improving cyberbullying detection using Twitter users’ psychological features and machine learning. Computers & Security, 90, 101710. https://doi.org/10.1016/j.cose.2019.101710CrossRefGoogle Scholar

Balakrishnan, J., & Griffiths, M. D. (2018). An exploratory study of “Selfitis” and the development of the Selfitis behavior scale. International Journal of Mental Health Addiction, 16(3), 722–736. https://doi.org/10.1007/s11469-017-9844-xCrossRefGoogle ScholarPubMed

Balakrishnan, V., Khan, S., Fernandez, T., & Arabnia, H. R. (2019). Cyberbullying detection on twitter using big five and Dark Triad features. Personality and Individual Differences, 141, 252–257. https://doi.org/10.1016/j.paid.2019.01.024CrossRefGoogle Scholar

Balcerowska, J. M., Sawicki, A., Brailovskaia, J., & Zajenkowski, M. (2023). Different aspects of narcissism and social networking sites addiction in Poland and Germany: The mediating role of positive and negative reinforcement expectancies. Personality and Individual Differences, 207, 112172. https://doi.org/10.1016/j.paid.2023.112172CrossRefGoogle Scholar

Balcerowska, J. M., & Sawicki, A. J. (2022). Which aspects of narcissism are related to social networking sties addiction? The role of self-enhancement and self-protection. Personality and Individual Differences, 190, 111530. https://doi.org/10.1016/j.paid.2022.111530CrossRefGoogle Scholar

Balta, S., Jonason, P., Denes, A., Emirtekin, E., Tosuntaş, Ş. B., Kircaburun, K., & Griffiths, M. D. (2019). Dark personality traits and problematic smartphone use: The mediating role of fearful attachment. Personality and Individual Differences, 149, 214–219. https://doi.org/10.1016/j.paid.2019.06.005CrossRefGoogle Scholar

Bańka, A., & Orłowski, K. (2012). The structure of the teacher Machiavellianism model in social interactions in a school environment. Polish Psychological Bulletin, 43(4), 215–222. https://doi.org/10.2478/v10059-012-0024-3CrossRefGoogle Scholar

Bank Info Security. (August 24, 2022). 2022 Ponemon cost of insider threats global report. Retrieved from www.bankinfosecurity.com/whitepapers/2022-ponemon-cost-insider-threats-global-report-w-10798Google Scholar

Barber, N. (1998). Sex differences in disposition towards kin, security of adult attachment, and sociosexuality as a function of parental divorce. Evolution and Human Behaviour, 19(2), 125–132. https://doi.org/10.1016/S1090-5138(98)00004-XCrossRefGoogle Scholar

Barberis, N., Sanchez-Ruiz, M. J., Cannavò, M., Calaresi, D., Verrastro, V. (2023). The Dark Triad and trait emotional intelligence as predictors of problematic social media use and engagement: The mediating role of the fear of missing out. Clinical Neuropsychiatry, 20(2), 129–140. https://doi.org/10.36131/cnfioritieditore20230205Google ScholarPubMed

Barry, C. T., & Kauten, R. L. (2014). Nonpathological and pathological narcissism: Which self-reported characteristics are most problematic in adolescents? Journal of Personality Assessment, 96(2), 212–219. https://doi.org/10.1080/00223891.2013.830264CrossRefGoogle ScholarPubMed

Basit, A., Zafar, M., Liu, X., Javed, A. R., Jalil, Z., & Kifayat, K. (2021). A comprehensive survey of Al-enabled phishing attacks detection techniques. Telecommunication Systems, 76, 139–154. https://doi.org/10.1007/s11235-020-00733-2CrossRefGoogle Scholar

Baughman, H.M., Dearing, S., Giammarco, E., & Vernon, P.A. (2012). Relationships between bullying behaviors and the Dark Triad: A study with adults. Personality and Individual Differences, 52, 571–75. https://doi.org/10.1016/j.paid.2011.11.020CrossRefGoogle Scholar

Bergman, S. M., Fearrington, M. E., Davenport, S. W., & Bergman, J. Z. (2011). Millennials, narcissism, and social networking: What narcissists do on social networking sites and why. Personality and Individual Differences, 50(5), 706–711. https://doi.org/10.1016/j.paid.2010.12.022CrossRefGoogle Scholar

Bernat, F. P., & Makin, D. (2014). Cybercrime theory and discerning if there is a crime: The case of digital piracy. International Review of Modern Sociology, 99–119. www.jstor.org/stable/43499904Google Scholar

Bertl, B., Pietschnig, J., Tran, U. S., Stieger, S., & Voracek, M. (2017). More or less than the sum of its parts? Mapping the Dark Triad of personality onto a single Dark Core. Personality and Individual Differences, 114, 140–144. https://doi.org/10.1016/j.paid.2017.04.002CrossRefGoogle Scholar

Bhasin, D., & Mehta, A. (2019). Cyber stalking: New age terror. International Journal of Law Management Humanities, 2, 320–328. www.brainyquote.com/quotes/willowbay_531432Google Scholar

Bhattacharyya, R. (2015). Addiction to modern gadgets and technologies across generations. Eastern Journal of Psychiatry, 18(2), 27–37.CrossRefGoogle Scholar

Bhogal, M. S., & Wallace, D. (2022). Cost-inflicting mate retention tactics predict the perpetration of cyber dating abuse. Evolutionary Psychological Science, 8, 1–9. https://doi.org/10.1007/s40806-021-00307-8CrossRefGoogle Scholar

Bilal, A., Nadeem, A., & Saleem, M. (2022). Cyber-psychopathy trait as predictor of cybersex addiction among university students. Pakistan Journal of Humanities and Social Sciences, 10(1), 20–28. https://doi.org/10.52131/pjhss.2022.1001.0170CrossRefGoogle Scholar

Björkqvist, K., Lagerspetz, K. M., & Kaukiainen, A. (1992). Do girls manipulate and boys fight? Developmental trends in regard to direct and indirect aggression. Aggressive Behavior, 18(2), 117–127. https://doi.org/10.1002/1098-2337(1992)18:2<117::AID-AB2480180205>3.0.CO;2-33.0.CO;2-3>CrossRefGoogle Scholar

Błachnio, A., Przepiorka, A., Cudo, A., Sękowski, A., & Pantic, I. (2023). The role of Machiavellianism and interdependent agency in Facebook intrusion. Psychological Reports. https://doi-org.ezproxy.haifa.ac.il/10.1177/00332941231153321CrossRefGoogle ScholarPubMed

Blain, M. (2022). Political victimage ritual and evil. In Dryjanska, L., & Pacifici, G. (Eds.), Evil in the Modern World. Cham: Springer. https://doi-org.ezproxy.haifa.ac.il/10.1007/978-3-030-91888-0_8Google Scholar

Blais, J., Aelick, C. A., Scully, J. M., & Pruysers, S. (2023). Antisocial personality traits as potential risk factors for cyberstalking: Not all Dark Triad traits matter. SSRN. https://ssrn.com/abstract=4546645 or https://dx.doi.org/10.2139/ssrn.4546645CrossRefGoogle Scholar

Blickle, G., & Schütte, N. (2017). Trait psychopathy, task performance, and counterproductive work behavior directed toward the organization. Personality and Individual Differences, 109, 225–231. https://doi.org/10.1016/j.paid.2017.01.006CrossRefGoogle Scholar

Blötner, C., & Beisemann, M. (2022). The Dark Triad is dead, long live the Dark Triad: An item-response theoretical examination of the Short Dark Tetrad. Personality and Individual Differences, 199, 111858. https://doi.org/10.1016/j.paid.2022.111858CrossRefGoogle Scholar

Blötner, C., & Mokros, A. (2023). The next distinction without a difference: Do psychopathy and sadism scales assess the same construct? Personality and Individual Differences, 205, 112102. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.paid.2023.112102CrossRefGoogle Scholar

Board, B. J., & Fritzon, K. (2005). Disordered personalities at work. Psychology, Crime & Law, 11(1), 17–32. https://doi.org/10.1080/10683160310001634304CrossRefGoogle Scholar

Boddy, C. (2011). Corporate Psychopaths: Organizational Destroyers. London: Palgrave Macmillan. https://doi.org/10.1108/09534811211214008CrossRefGoogle Scholar

Bogolyubova, O., Panicheva, P., Tikhonov, R., Ivanov, V., & Ledovaya, Y. (2018). Dark personalities on Facebook: Harmful online behaviors and language. Computers in Human Behavior, 78, 151–159. https://doi.org/10.1016/j.chb.2017.09.032CrossRefGoogle Scholar

Bohns, V. (February 22, 2022). How scammers like Anna Delvey and the Tinder Swindler exploit a core feature of human nature. The Conversation. Retrieved from https://interaksyon.philstar.com/trends-spotlights/2022/02/22/211224/how-scammers-like-anna-delvey-and-the-tinder-swindler-exploit-a-core-feature-of-human-nature/Google Scholar

Bonfá-Araujo, B., Lima-Costa, A. R., Hauck-Filho, N., & Jonason, P. K. (2022). Considering sadism in the shadow of the Dark Triad traits: A meta-analytic review of the Dark Tetrad. Personality and Individual Differences, 197, 111767. https://doi.org/10.1016/j.paid.2022.111767CrossRefGoogle Scholar

Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230. https://doi.org/10.1111/j.1083-6101.2007.00393.xCrossRefGoogle Scholar

Brailovskaia, J., Margraf, J., & Köllner, V. (2019). Addicted to Facebook? Relationship between Facebook addiction disorder, duration of Facebook use and narcissism in an inpatient sample. Psychiatry Research, 273, 52–57. https://doi.org/10.1016/j.psychres.2019.01.016CrossRefGoogle Scholar

Brailovskaia, J., Ozimek, P., Rohmann, E., & Bierhoff, H. W. (2023). Vulnerable narcissism, fear of missing out (FoMO) and addictive social media use: A gender comparison from Germany. Computers in Human Behavior, 144, 107725. https://doi.org/10.1016/j.chb.2023.107725CrossRefGoogle Scholar

Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience & Biobehavioral Reviews, 104, 1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032CrossRefGoogle ScholarPubMed

Branković, I., Dinić, B. M., & Jonason, P. K. (2022). How traditional stalking and cyberstalking correlate with the Dark Tetrad traits? Current Psychology, 1–5. https://doi-org.ezproxy.haifa.ac.il/10.1007/s12144-022-03681-zGoogle Scholar

Branson, M., & March, E. (2021). Dangerous dating in the digital age: Jealousy, hostility, narcissism, and psychopathy as predictors of Cyber Dating Abuse. Computers in Human Behavior, 119, 106711. https://doi.org/10.1016/j.chb.2021.106711CrossRefGoogle Scholar

Brewer, G., Parkinson, M., Pickles, A., Anson, J., & Mulinder, G. (2023). Dark Triad traits and relationship dissolution. Personality and Individual Differences, 204, 112045. https://doi.org/10.1016/j.paid.2022.112045CrossRefGoogle Scholar

Brod, C. (1984). Technostress: The Human Cost of the Computer Revolution. Reading, MA: Addison-Wesley, 1984.Google Scholar

Brown, W. M., Hazraty, S., & Palasinski, M. (2019). Examining the Dark Tetrad and its links to cyberbullying. Cyberpsychology, Behavior, and Social Networking, 22(8), 552–557. https://doi.org/10.1089/cyber.2019.0172CrossRefGoogle ScholarPubMed

Broz, M. (2023). Photutorial, How many pictures are there (2023): Statistics, trends, and forecasts. Retrieved from https://photutorial.com/photos-statistics/Google Scholar

Brubaker, P. J., Montez, D., & Church, S. H. (2021). The power of schadenfreude: predicting behaviors and perceptions of trolling among Reddit users. Social Media + Society, 7(2), 20563051211021382. https://doi.org/10.1177/20563051211021382CrossRefGoogle Scholar

Brunell, A. B., Gentry, W. A., Campbell, W. K., Hoffman, B. J., Kuhnert, K. W., & DeMarree, K. G. (2008). Leader emergence: The case of the narcissistic leader. Personality and Social Psychology Bulletin, 34(12), 1663–1676. https://doi.org/10.1177/0146167208324101CrossRefGoogle ScholarPubMed

Buckels, E. E., Jones, D. N., & Paulhus, D. L. (2013). Behavioral confirmation of everyday sadism. Psychological Science, 24(11), 2201–2209. https://doi.org/10.1177/0956797613490749CrossRefGoogle ScholarPubMed

Buckels, E. E., Trapnell, P. D., Andjelovic, T., & Paulhus, D. L. (2019). Internet trolling and everyday sadism: Parallel effects on pain perception and moral judgment. Journal of Personality, 87(2), 328–340. https://doi-org.ezproxy.haifa.ac.il/10.1111/jopy.12393CrossRefGoogle ScholarPubMed

Buckels, E. E., Trapnell, P. D., & Paulhus, D. L. (2014). Trolls just want to have fun. Personality and Individual Differences, 67, 97–102. https://doi.org/10.1016/j.paid.2014.01.016CrossRefGoogle Scholar

Buffardi, L. E., & Campbell, W. K. (2008). Narcissism and social networking web sites. Personality and Social Psychology Bulletin, 34(10), 1303–1314. https://doi.org/10.1177/0146167208320061CrossRefGoogle ScholarPubMed

Bui, N. H., & Pasalich, D. S. (2021). Insecure attachment, maladaptive personality traits, and the perpetration of in-person and cyber psychological abuse. Journal of Interpersonal Violence, 36(5–6), 2117–2139. https://doi.org/10.1177/0886260518760332CrossRefGoogle ScholarPubMed

Burtӑverde, V., Jonason, P. K., Giosan, C., & Ene, C. (2021). Why do people watch porn? An evolutionary perspective on the reasons for pornography consumption. Evolutionary Psychology, 19(2), 14747049211028798. https://doi.org/10.1177/14747049211028798CrossRefGoogle Scholar

Calvert, M., Linden, M., Kyser, K., Zeinert, K., & Foust, M. S. (2021). Personality correlates of gaming and pornography use. Psi Beta Journal of Research, 1(1), 34–40. https://doi.org/10.54581/JPWV2620Google Scholar

Campbell, K. (March 15, 2022). The science behind the tinder swindler catfishing, romance scams, and how to protect yourself. Psychology Today. Retrieved from www.psychologytoday.com/intl/blog/more-chemistry/202203/the-science-behind-the-tinder-swindlerGoogle Scholar

Campbell, W. K., Bonacci, A. M., Shelton, J., Exline, J. J., & Bushman, B. J. (2004). Psychological entitlement: Interpersonal consequences and validation of a self-report measure. Journal of Personality Assessment, 83(1), 29–45. https://doi.org/10.1207/s15327752jpa8301_04CrossRefGoogle ScholarPubMed

Campbell, W. K., Hoffman, B. J., Campbell, S. M., & Marchisio, G. (2011). Narcissism in organizational contexts. Human Resource Management Review, 21(4), 268–284. https://doi.org/10.1016/j.hrmr.2010.10.007Google Scholar

Carpenter, C. J. (2012). Narcissism on Facebook: Self-promotional and anti-social behavior. Personality and Individual Differences, 52(4), 482–486. https://doi.org/10.1016/j.paid.2011.11.011CrossRefGoogle Scholar

Carre, J. R., Curtis, S. R., & Jones, D. N. (2018). Ascribing responsibility for online security and data breaches. Managerial Auditing Journal, 33(4), 436–446. https://doi.org/10.1108/MAJ-11-2017-1693CrossRefGoogle Scholar

Casale, S., & Banchi, V. (2020). Narcissism and problematic social media use: A systematic literature review. Addictive Behaviors Reports, 11, 100252. https://doi.org/10.1016/j.abrep.2020.100252CrossRefGoogle ScholarPubMed

Casale, S., & Fioravanti, G. (2018). Why narcissists are at risk for developing Facebook addiction: The need to be admired and the need to belong. Addictive Behaviors, 76, 312–318. https://doi.org/10.1016/j.addbeh.2017.08.038CrossRefGoogle ScholarPubMed

Chabrol, H., Van Leeuwen, N., Rodgers, R., & Séjourné, N. (2009). Contributions of psychopathic, narcissistic, Machiavellian, and sadistic personality traits to juvenile delinquency. Personality and Individual Differences, 47(7), 734–739.CrossRefGoogle Scholar

Chamie, J. (2022). Dating in a changing America. In Population Levels, Trends, and Differentials. Cham: Springer. https://doi.org/10.1007/978-3-031-22479-9_44CrossRefGoogle Scholar

Chandler, D., & Munday, R. (2019). Revenge porn. Dictionary of Social Media. Oxford University Press. Retrieved from www.oxfordreference.com/view/10.1093/acref/9780191803093.001.0001/acref-9780191803093-e-1231Google Scholar

Charlier, S. D., Giumetti, G. W., Reeves, C. J., & Greco, L. M. (2017). Workplace cyberdeviance. In Hertel, G., Stone, D. L., Johnson, R. D., & Passmore, J. (Eds.), Wiley Blackwell Handbooks in Organizational Psychology. The Wiley Blackwell Handbook of the Psychology of the Internet at Work (pp. 131–156). Wiley-Blackwell. https://doi.org/10.1002/9781119256151.ch7CrossRefGoogle Scholar

Charalampous, K., Ioannou, M., Georgiou, S., & Stavrinides, P. (2021). Cyberbullying, psychopathic traits, moral disengagement, and school climate: The role of self-reported psychopathic levels and gender. Educational Psychology, 41(3), 282–301. https://doi.org/10.1080/01443410.2020.1742874CrossRefGoogle Scholar

Chavan, M., Galperin, B. L., Ostle, A., & Behl, A. (2021). Millennial’s perception on cyberloafing: Workplace deviance or cultural norm? Behaviour & Information Technology, 1–18. https://doi.org/10.1080/0144929X.2021.1956588Google Scholar

Chen, J. (November 2020). Second World. Investopedia. Retrieved from www.investopedia.com/terms/s/second-world.aspGoogle Scholar

Cheng, Z. W., & Lee, S. L. (2022). Victimizing the psychopaths and Machiavellians online, but not the charming narcissists: The insignificance of powerlessness. Journal of Social and Educational Research, 1(1), 1–13. www.journalser.com/jser/article/view/6Google Scholar

Cheng, C., & Li, A. Y. L. (2014). Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Cyberpsychology, Behavior, and Social Networking, 17(12), 755–760. https://doi.org/10.1089/cyber.2014.0317CrossRefGoogle ScholarPubMed

Choi, Y. (2018). Narcissism and social media addiction in workplace. Journal of Asian Finance, Economics and Business, 5(2), 95–104. https://doi.org/10.13106/jafeb.2018.vol5.no2.95CrossRefGoogle Scholar

Choi, Y., Chu, K., & Choi, E. J. (2019). Social network services addiction in the workplace. The Journal of Asian Finance, Economics and Business, 6(1), 249–259. http://doi.org/10.13106/jafeb.2019.vol6.no1.249CrossRefGoogle Scholar

Choi, W. H., Son, J. W., Kim, Y. R., Lee, S. I., Shin, C. J., Kim, S. K., & Ju, G. W. (2011). A study of covert narcissism in adolescent Internet addiction: Relationship to anonymity, presence, interactivity, and achievement motivation. Journal of the Korean Academy of Child and Adolescent Psychiatry, 22(2), 103–111. https://doi.org/10.5765/jkacap.2011.22.2.103CrossRefGoogle Scholar

Christie, R., & Geis, F. L. (1970). Studies in Machiavellianism. New York, NY: Academic Press.Google Scholar

Christensen, L. (2022). How to protect yourself from the Tinder Swindler and similar psychopaths. Mental Health Matters, 9(1), 8–9.Google Scholar

Chung, K. L., Morshidi, I., Yoong, L. C., & Thian, K. N. (2019). The role of the Dark Tetrad and impulsivity in social media addiction: Findings from Malaysia. Personality and Individual Differences, 143, 62–67. https://doi.org/10.1016/j.paid.2019.02.016CrossRefGoogle Scholar

Ciocca, G., Robilotta, A., Fontanesi, L., Sansone, A., D’Antuono, L., Limoncin, E., … & Jannini, E. A. (2020). Sexological aspects related to Tinder use: A comprehensive review of the literature. Sexual Medicine Reviews, 8(3), 367–378. https://doi.org/10.1016/j.sxmr.2019.12.004CrossRefGoogle ScholarPubMed

Clancy, E. M., Klettke, B., & Hallford, D. J. (2019). The dark side of sexting – factors predicting the dissemination of sexts. Computers in Human Behavior, 92, 266–272. https://doi.org/10.1016/j.chb.2018.11.023CrossRefGoogle Scholar

Clancy, E. M., Klettke, B., Hallford, D. J., Crossman, A. M., Maas, M. K., & Toumbourou, J. W. (2020). Sharing is not always caring: Understanding motivations and behavioural associations with sext dissemination. Computers in Human Behavior, 112, 106460. https://doi.org/10.1016/j.chb.2020.106460CrossRefGoogle Scholar

Cleckley, H. (1941/1988). The Mask of Sanity (5th ed.), Private Printing for Educational Use by Emily Cleckley 1988 (Formerly first published by C.V. Mosley Co.in 1941). Georgia: Augusta.Google Scholar

Cohen, A. (2016). Are they among us? A conceptual framework of the relationship between the Dark Triad personality and counterproductive work behaviors (CWBs). Human Resource Management Review, 26(1), 69–85. https://doi.org/10.1016/j.hrmr.2015.07.003CrossRefGoogle Scholar

Cohen, A. (2018). Counterproductive Work Behaviors: Understanding the Dark Side of Personalities in Organizational Life. New York: Routledge. https://doi.org/10.4324/9781315454818CrossRefGoogle Scholar

Cohen, A., & Baruch, Y. (2022). Abuse and exploitation of doctoral students: A conceptual model for traversing a long and winding road to academia. Journal of Business Ethics, 180(2), 505–522. https://doi-org.ezproxy.haifa.ac.il/10.1007/s10551-021-04905-1CrossRefGoogle Scholar

Coleman, F. L. (1997). Stalking behavior and the cycle of domestic violence. Journal of Interpersonal Violence, 12(3), 420–432. https://doi.org/10.1177/088626097012003007CrossRefGoogle Scholar

Coles, B. A., & West, M. (2016). Trolling the trolls: Online forum users constructions of the nature and properties of trolling. Computers in Human Behavior, 60, 233–244. https://doi.org/10.1016/j.chb.2016.02.070CrossRefGoogle Scholar

Cooke, D. J., & Michie, C. (2001). Refining the construct of psychopathy: Towards a hierarchical model. Psychological Assessment, 13(2), 171–188. https://doi.org/10.1037/1040-3590.13.2.171CrossRefGoogle ScholarPubMed

Coyne, I., & Farley, S. (2018). Cyberbullying within working contexts. In Cassidy, W., Faucher, C., & Jackson, M. (Eds.), Cyberbullying at University in International Contexts, (1st Edition, pp. 80–96). Abingdon, UK: Routledge.CrossRefGoogle Scholar

Craker, N., & March, E. (2016). The dark side of Facebook: The Dark Tetrad, negative social potency, and trolling behaviours. Personality and Individual Differences, 102, 79–84. https://doi.org/10.1016/j.paid.2016.06.043CrossRefGoogle Scholar

Cressey, D. R. (1953). Other People’s Money. Montclair, NJ: Patterson Smith.Google Scholar

Cristescu, I., Ciuperca, E. M., & Cirnu, C. E. (2022). Exploiting personality traits in social engineering attacks. Romanian Journal of Information Technology & Automatic Control/Revista Românӑ de Informaticӑ și Automaticӑ, 32(1), 113–122.CrossRefGoogle Scholar

Curtis, S. R., Basak, A., Carre, J. R., Bošanský, B., Černý, J., BenAsher, N., Gutierrez, M., Jones, D. N., & Kiekintveld, C. (2021). The Dark Triad and strategic resource control in a competitive computer game. Personality and Individual Differences, 168, 110343. https://doi.org/10.1016/j.paid.2020.110343CrossRefGoogle Scholar

Curtis, S. R., & Jones, D. N. (2020). Understanding what makes dark traits “vulnerable”: A distinction between indifference and hostility. Personality and Individual Differences, 160, 109941. https://doi.org/10.1016/j.paid.2020.109941CrossRefGoogle Scholar

Curtis, S. R., Rajivan, P., Jones, D. N., & Gonzalez, C. (2018). Phishing attempts among the Dark Triad: Patterns of attack and vulnerability. Computers in Human Behavior, 87, 174–182. https://doi.org/10.1016/j.chb.2018.05.037CrossRefGoogle Scholar

Daderman, A. M., & Ragnestål-Impola, C. (2019). Workplace bullies, not their victims, score high on the Dark Triad and Extraversion, and low on Agreeableness and Honesty-Humility. Heliyon, 5(10), 1–9. https://doi.org/10.1016/j.heliyon.2019. e02609CrossRefGoogle Scholar

DarkOwl. (2021). Increased threat to food delivery services on the Darknet. Retrieved from www.darkowl.com/blog-content/increased-threat-to-food-delivery-services-on-the-darknetGoogle Scholar

DataProt. (May 5, 2023). Piracy is back: Piracy statistics for 2023. Retrieved from https://dataprot.net/statistics/piracy-statistics/Google Scholar

da Silva, P. G. N., da Fonseca, P. N., de Medeiros, E. D., Couto, R. N., & Pereira, R. S. (2021). Intimate Partner Cyberstalking Scale (IPCS): Evidências Psicométricas no Brasil. Revista Iberoamericana de Diagnóstico y Evaluación Psicológica, 2(59), 5–17.CrossRefGoogle Scholar

DataReportal. (2023). Digital around the world. Retrieved from https://datareportal.com/global-digital-overviewGoogle Scholar

Davidson, G., Higgleton, E., Sargeant, H., & Seaton, A. (eds.), (1994). Chambers Pocket Dictionary. Edinburgh: Chambers.Google Scholar

DeAndrea, D. C. (2014). Advancing warranting theory. Communication Theory 24(2), 186–204. https://doi.org/10.1111/comt.12033CrossRefGoogle Scholar

De Groot, J. (May 6, 2023). What are social engineering attacks? (Types & Definition). Digital Guardian. Retrieved from www.digitalguardian.com/blog/social-engineering-attacks-common-techniques-how-prevent-attackGoogle Scholar

de Jesus Costa, B., Simões, A. M., & Relva, I. C. (2023). Psychopathic traits and cyber dating abuse: Mediating effect of internet addiction in a university student sample. Journal of Forensic Psychology Research and Practice, 23(2), 113–135. https://doi.org/10.1080/24732850.2021.2016116CrossRefGoogle Scholar

DeLisi, M., Drury, A., Elbert, M., Tahja, K., Caropreso, D., & Heinrichs, T. (2017). Sexual sadism and criminal versatility: Does sexual sadism spillover into nonsexual crimes? Journal of Aggression, Conflict and Peace Research, 9(1), 2–12. https://doi.org/10.1108/JACPR-05-2016-0229CrossRefGoogle Scholar

Demircioğlu, Z. I., & Çıkan, F. (2021). Effects of the Dark Triad Personality Traits on Cyberbullying: A Meta-Analysis. Presented at the International Congress of Psychology, Praha, Çek Cumhuriyeti, 2021. Accessed on July 23, 2021. Retrieved from https://hdl.handle.net/11511/93430Google Scholar

Demircioğlu, Z. I., & Köse, A. G. (2021). Effects of attachment styles, Dark Triad, rejection sensitivity, and relationship satisfaction on social media addiction: A mediated model. Current Psychology, 40, 414–428.CrossRefGoogle Scholar

Demircioğlu, Z. I., & Köse, A. G. (2022). Antecedents of problematic social media use and cyberbullying among adolescents: Attachment, the Dark Triad and rejection sensitivity. Current Psychology. https://doi.org/10.1007/s12144-022-04127-2Google ScholarPubMed

Demircioğlu, Z. I., & Köse, A. G. (2023). Mediating roles of impulsivity and risk-taking in the links of the Dark Triad with flirting and dating via social media. Psikoloji Çalışmaları, 42(3), 643–665. https://doi.org/10.26650/SP2021-1018862CrossRefGoogle Scholar

Dey, D. (2022). Perception/Deception: Fictional Selves and the Peculiarly Digital Phenomenon of Catfishing. Asiascape: Digital Asia, 9(1–2), 95–118. https://doi-org.ezproxy.haifa.ac.il/10.1163/22142312-bja10029CrossRefGoogle Scholar

Djuraskovic, O. (2023). Top Instagram statistics for 2023. https://firstsiteguide.com/instagram-stats/Google Scholar

Dow, G. T. (2023). The Dark Tetrad and malevolent creativity. In Kapoor, H., & Kaufman, J. C. (Eds.), Creativity and Morality (pp. 69–80). Academic Press. https://doi.org/10.1016/B978-0-323-85667-6.00010-4CrossRefGoogle Scholar

Drouvelis, M., Gerson, J., Powdthavee, N., & Riyanto, Y. E. (2022). Identity misrepresentation in cyberspace erodes human cooperation. SSRN. https://doi.org/10.2139/ssrn.4014880CrossRefGoogle Scholar

Duffy, A., March, E., & Jonason, P. K. (2023). Intimate partner cyberstalking: Exploring vulnerable narcissism, secondary psychopathy, borderline traits, and rejection sensitivity. Cyberpsychology, Behavior, and Social Networking, 26(3), 147–152. https://doi-org.ezproxy.haifa.ac.il/10.1089/cyber.2022.0167CrossRefGoogle ScholarPubMed

Duncan, Z., & March, E. (2019). Using Tinder to start a fire: Predicting antisocial use of Tinder® with gender and the Dark Tetrad. Personality and Individual Differences, 145, 9–14. https://doi.org/10.1016/j.paid.2019.03.014CrossRefGoogle Scholar

Ehman, A. C., & Gross, A. M. (2019). Sexual cyberbullying: Review, critique, & future directions. Aggression and Violent Behavior, 44, 80–87. https://doi.org/10.1016/j.avb.2018.11.001CrossRefGoogle Scholar

Eksi, F. (2012). Examination of narcissistic personality traits’ predicting level of internet addiction and cyber bullying through path analysis. Educational Sciences: Theory and Practice, 12(3), 1694–1706.Google Scholar

El Keshky, M. E. S., Al-Qarni, M. S., & Khayat, A. H. (2022). Adaptation and psychometric properties of an Arabic version of the smartphone addiction scale (SAS) in the context of Saudi Arabia. Addictive Behaviors, 131, 107335. https://doi.org/10.1016/j.addbeh.2022.107335CrossRefGoogle Scholar

Facebook. (2019). Statistics. http://newsroom.fb.com/company-info/Google Scholar

Fagade, T., Spyridopoulos, T., Albishry, N., & Tryfonas, T. (July 2017). System dynamics approach to malicious insider cyber-threat modelling and analysis. In International Conference on Human Aspects of Information Security, Privacy, and Trust (pp. 309–321). Cham: Springer.Google Scholar

Fan, C. Y., Chu, X. W., Zhang, M., & Zhou, Z. K. (2019). Are narcissists more likely to be involved in cyberbullying? Examining the mediating role of self-esteem. Journal of Interpersonal Violence, 34(15), 3127–3150.CrossRefGoogle ScholarPubMed

Farooq, R., & Ashraf, R. (2022). Dark trait tetrad and online deception in TikTok users. Applied Psychology Review, 1(1), 20–33. https://journals.umt.edu.pk/index.php/aprCrossRefGoogle Scholar

Fegan, R. B., & Bland, A. R. (2021). Social media use and vulnerable narcissism: The differential roles of oversensitivity and egocentricity. International Journal of Environmental Research and Public Health, 18(17), 9172. https://doi.org/10.3390/ijerph18179172CrossRefGoogle ScholarPubMed

Fennimore, A., & Sementelli, A. (2016). Public entrepreneurship and sub-clinical psychopaths: A conceptual frame and implications. International Journal of Public Sector Management, 29(6), 612–634. https://doi.org/10.1108/IJPSM-01-2016-0011CrossRefGoogle Scholar

Ferenczi, N., Marshall, T. C., & Bejanyan, K. (2017). Are sex differences in antisocial and prosocial Facebook use explained by narcissism and relational self-construal? Computers in Human Behavior, 77, 25–31. https://doi.org/10.1016/j.chb.2017.08.033CrossRefGoogle Scholar

Fichman, P., & Sanfilippo, M. R. (2016). Online Trolling and Its Perpetrators: Under the Cyberbridge. Lanham, MD: Rowman & Littlefield.Google Scholar

Fido, D., Rao, J., & Harper, C. A. (2022). Celebrity status, sex, and variation in psychopathy predicts judgements of and proclivity to generate and distribute deepfake pornography. Computers in Human Behavior, 129, 107141. https://doi.org/10.1016/j.chb.2021.107141CrossRefGoogle Scholar

Fisher, W. A., & Barak, A. (2001). Internet pornography: A social psychological perspective on internet sexuality. Journal of Sex Research, 38(4), 312–323. https://doi.org/10.1080/00224490109552102CrossRefGoogle Scholar

Fletcher, E. (2021). Romance scams take record dollars in 2020. Federal Trade Commission. Retrieved from www.ftc.gov/news-events/data-visualizations/data-spotlight/2021/02/romance-scams-take-record-dollars-2020#end2Google Scholar

Ford, D. P. (2013). Virtual harassment: Media characteristics’ role in psychological health. Journal of Managerial Psychology, 28(4), 408–428. https://doi.org/10.1108/JMP-12-2012-0398CrossRefGoogle Scholar

Foster, J. D., Campbell, W. K., & Twenge, J. M. (2003). Individual differences in narcissism: Inflated self-views across the lifespan and around the world. Journal of Research in Personality, 37, 469–486. http://dx.doi.org/10.1016/S0092-6566(03)00026-6CrossRefGoogle Scholar

Fox, J., & Rooney, M. C. (2015). The Dark Triad and trait self-objectification as predictors of men’s use and self-presentation behaviors on social networking sites. Personality and Individual Differences, 76, 161–165. https://doi.org/10.1016/j.paid.2014.12.017CrossRefGoogle Scholar

Freud, S. (1914/91). On narcissism: An introduction. In Sandler, J., Person, E., & Fonagy, P. (Eds.), Freud’s “On Narcissism: An Introduction”. New Haven, CT: Yale University Press. https://doi.org/10.1080/00754170600563638Google Scholar

Freyth, L., & Batinic, B. (2021). How bright and dark personality traits predict dating app behavior. Personality and Individual Differences, 168, 110316. https://doi.org/10.1016/j.paid.2020.110316CrossRefGoogle Scholar

Freyth, L., Batinic, B., & Jonason, P. K. (2023). Social media use and personality: Beyond self-reports and trait-level assessments. Personality and Individual Differences, 202. https://doi.org/10.1016/j.paid.2022.111960CrossRefGoogle Scholar

Furian, L., & March, E. (2023). Trolling, the Dark Tetrad, and the four-facet spectrum of narcissism. Personality and Individual Differences, 208, 112169. https://doi.org/10.1016/j.paid.2023.112169CrossRefGoogle Scholar

Furtner, M. R., Maran, T., & Rauthmann, J. F. (2017). Dark leadership: The role of leaders’ Dark Triad personality traits. In Clark, M., & Gruber, C. (Eds.), Leader Development Deconstructed: Annals of Theoretical Psychology, vol 15 (pp. 75–99). Cham: Springer. https://doi.org/10.1007/978-3-319-64740-1_4CrossRefGoogle Scholar

Gaia, J., Murray, D., Sanders, G., Sanders, S., Upadhyaya, S., Wang, X., & Yoo, C. (January 2022). The interaction of dark traits with the perceptions of apprehension. In Proceedings of the 55th Hawaii International Conference on System Sciences. Retrieved from https://hdl.handle.net/10125/79612978-0-9981331-5-7Google Scholar

Gaia, J., Ramamurthy, B., Sanders, G., Sanders, S., Upadhyaya, S., Wang, X., & Yoo, C. (2020). Psychological profiling of hacking potential. Paper presented at the Hawaii International Conference on System Sciences, Hawaii, USA.CrossRefGoogle Scholar

Gaia, J., Sanders, G. L., Sanders, S. P., Upadhyaya, S., Wang, X., & Yoo, C. W. (2021). Dark Traits and hacking potential. Journal of Organizational Psychology, 21(3). https://doi.org/10.33423/jop.v21i3.4307Google Scholar

Gajda, A., Moroń, M., Królik, M., Małuch, M., & Mraczek, M. (2022). The Dark Tetrad, cybervictimization, and cyberbullying: The role of moral disengagement. Current Psychology. https://doi.org/10.1007/s12144-022-03456-6Google Scholar

Gamache, D., Savard, C., Faucher, J., & Cloutier, M. È. (2021). Development and validation of the stalking and obsessive relational intrusions questionnaire (SORI-Q). Journal of Interpersonal Violence, 08862605211042808. https://doi.org/10.1177/08862605211042808Google ScholarPubMed

Gammon, A. R., Converse, P. D., Lee, L. M., & Griffith, R. L. (2011). A personality process model of cyber harassment. International Journal of Management and Decision Making, 11(5–6), 358–378. https://doi.org/10.1504/IJMDM.2011.043409CrossRefGoogle Scholar

Garcia, M. A., Lerma, M., Perez, M. G., Medina, K. S., Rodriguez-Crespo, A., & Cooper, T. V. (2023). Psychosocial and personality trait associates of phubbing and being phubbed in Hispanic emerging adult college students. Current Psychology, 1–14. https://doi-org.ezproxy.haifa.ac.il/10.1007/s12144-023-04767-yGoogle ScholarPubMed

Garcia, D., & Sikström, S. (2014). The dark side of Facebook: Semantic representations of status updates predict the Dark Triad of personality. Personality and Individual Differences, 67, 92–96. https://doi.org/10.1016/j.paid.2013.10.001CrossRefGoogle Scholar

Garrido, E. C., Issa, T., Esteban, P. G., & Delgado, S. C. (2021). A descriptive literature review of phubbing behaviors. Heliyon 7(5), e07037. https://doi.org/10.1016/j.heliyon.2021.e07037CrossRefGoogle Scholar

Gavin, J., & Scott, A. J. (2019). Attributions of victim responsibility in revenge pornography. Journal of Aggression, Conflict and Peace Research, 11(4), 263–272. https://doi-org.ezproxy.haifa.ac.il/10.1108/JACPR-03-2019-0408CrossRefGoogle Scholar

Geary, C., March, E., & Grieve, R. (2021). Insta-identity: Dark personality traits as predictors of authentic self-presentation on Instagram. Telematics and Informatics, 63, 101669. https://doi.org/10.1016/j.tele.2021.101669CrossRefGoogle Scholar

Gibb, Z. G., & Devereux, P. G. (2014). Who does that anyway? Predictors and personality correlates of cyberbullying in college. Computers in Human Behavior, 38, 8–16. https://doi.org/10.1016/j.chb.2014.05.009CrossRefGoogle Scholar

Giumetti, G. W., & Kowalski, R. M. (2022). Cyberbullying via social media and well-being. Current Opinion in Psychology, 45, 101314. https://doi.org/10.1016/j.copsyc.2022.101314CrossRefGoogle ScholarPubMed

Giumetti, G. W., Kowalski, R. M., & Feinn, R. S. (2022). Predictors and outcomes of cyberbullying among college students: A two wave study. Aggressive Behavior, 48(1), 40–54. https://doi.org/10.1002/ab.21992CrossRefGoogle Scholar

Giumetti, G. W., McKibben, E. S., Hatfield, A. L., Schroeder, A. N., & Kowalski, R. M. (2012). Cyber incivility @ work: The new age of interpersonal deviance. Cyberpsychology, Behavior, and Social Networking, 15, 148–154. https://doi.org/10.1089/cyber.2011.0336CrossRefGoogle ScholarPubMed

Gnambs, T., & Appel, M. (2018). Narcissism and social networking behavior: A meta‐analysis. Journal of Personality, 86(2), 200–212. https://doi-org.ezproxy.haifa.ac.il/10.1111/jopy.12305CrossRefGoogle ScholarPubMed

Gonzalez, J. M., & Greitemeyer, T. (2018). The relationship between everyday sadism, violent video game play, and fascination with weapons. Personality and Individual Differences, 124, 51–53. https://doi.org/10.1016/j.paid.2017.11.045CrossRefGoogle Scholar

Goodboy, A. K., & Martin, M. M. (2015). The personality profile of a cyberbully: Examining the Dark Triad. Computers in Human Behavior, 49, 1–4. https://doi.org/10.1016/j.chb.2015.02.052CrossRefGoogle Scholar

GOV UK. (2015). Revenge porn. Retrieved from www.gov.uk/government/publications/revenge-pornGoogle Scholar

Greitemeyer, T. (2015). Everyday sadism predicts violent video game preferences. Personality and Individual Differences, 75, 19–23. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.paid.2014.10CrossRefGoogle Scholar

Greitemeyer, T., & Sagioglou, C. (2017). The longitudinal relationship between everyday sadism and the amount of violent video game play. Personality and Individual Differences, 104, 238–242. https://doi.org/10.1016/j.paid.2016.08.021CrossRefGoogle Scholar

Grieve, R., Lang, C. P., & March, E. (2021). More than a preference for online social interaction: Vulnerable narcissism and phubbing. Personality and Individual Differences, 175, 110715. https://doi.org/10.1016/j.paid.2021.110715CrossRefGoogle Scholar

Grieve, R., & March, E. (2021). “Just checking”: Vulnerable and grandiose narcissism subtypes as predictors of phubbing. Mobile Media & Communication, 9(2), 195–209. https://doi.org/10.1177/2050157920942276CrossRefGoogle Scholar

Grigg, D. W. (2010). Cyber-aggression: Definition and concept of cyberbullying. Journal of Psychologists and Counsellors in Schools, 20(2), 143–156. https://doi.org/10.1375/ajgc.20.2.143Google Scholar

Grijalva, E., & Harms, P. D. (2014). Narcissism: An integrative synthesis and dominance complementarity model. The Academy of Management Perspectives, 28(2), 108–127. http://dx.doi.org/10.5465/amp.2012.0048CrossRefGoogle Scholar

Grubbs, J. B., Tahk, R., Fernandez, D. P., Fernandez, E. F., & Ley, D. (2023). Pornography and pride: Antagonism drives links between narcissism and perceived addiction to pornography. Journal of Research in Personality (2023), https://doi.org/10.1016/j.jrp.2023.104419CrossRefGoogle Scholar

Gruda, D., McCleskey, J., & Khoury, I. (2023). Cause we are living in a Machiavellian world, and I am a Machiavellian major: Machiavellianism and academic major choice. Personality and Individual Differences, 205, 112096. https://doi.org/10.1016/j.paid.2023.112096CrossRefGoogle Scholar

Gunasekara, P. B., & Senaratne, C. (March 2019). Psychopathy prediction and factorial classification on Twitter profiles. In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT) (pp. 1–3). IEEE.CrossRefGoogle Scholar

Gylfason, H. F., Sveinsdottir, A. H., Vésteinsdóttir, V., & Sigurvinsdottir, R. (2021). Haters gonna hate, trolls gonna troll: The personality profile of a Facebook troll. International Journal of Environmental Research and Public Health, 18(11), 5722. https://doi.org/10.3390/ijerph18115722CrossRefGoogle ScholarPubMed

Hacker. (January 28, 2023). In Wikipedia. Retrieved from https://en.wikipedia.org/wiki/HackerGoogle Scholar

Hacktivism. (May 4, 2023). In Wikipedia. Retrieved from https://en.wikipedia.org/wiki/HacktivismGoogle Scholar

Hamarta, E., Akat, M., & Akbulut, Ö. F. (2023). Dark Triad personality and online trolling: The mediating role of empathy. European Journal of Psychology and Educational Research, 6(1), 45–53. https://doi.org/10.12973/ejper.6.1.45CrossRefGoogle Scholar

Hancock, J. T., Woodworth, M., & Boochever, R. (2018). Psychopaths online: The linguistic traces of psychopathy in email, text messaging and Facebook. Media and Communication, 6, 83–92. https://doi.org/10.17645/mac.v6i3.1499CrossRefGoogle Scholar

Hand, C. J., Ingram, J., Glover, K., Brodie, Z. P., & Scott, G. G. (2022). Perceptions of female celebrity abuse on Twitter: Initial tweet valence, abuse volume, and observer Dark Tetrad characteristic effects. Abuse Volume, and Observer Dark Tetrad Characteristic Effects. https://ssrn-com.ezproxy.haifa.ac.il/abstract=4234899Google Scholar

Hand, C. J., & Scott, G. G. (2022). Beautiful victims: How the halo of attractiveness impacts judgments of celebrity and lay victims of online abuse. Computers in Human Behavior, 107157. https://doi.org/10.1016/j.chb.2021.107157CrossRefGoogle Scholar

Hand, C. J., Scott, G. G., Brodie, Z. P., Ye, X., & Sereno, S. C. (2021). Tweet valence, volume of abuse, and observers’ Dark Tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse. Computers in Human Behavior Reports, 3, 100056. https://doi.org/10.1016/j.chbr.2021.100056CrossRefGoogle Scholar

Hanson, L., & Baker, D. L. (2017). “Corporate psychopaths” in public agencies? Journal of Public Management & Social Policy, 24(1), 21–41. https://digitalscholarship.tsu.edu/jpmsp/vol24/iss1/3Google Scholar

Hardaker, C. (2010). Trolling in asynchronous computer-mediated communication: From user discussions to academic definitions. Journal of Politeness Research, 6(2), 215–242. https://doi.org/10.1515/jplr.2010.011CrossRefGoogle Scholar

Hare, R. D. (1999). Without Conscience: The Disturbing World of the Psychopaths among Us. New York, NY: Guilford Press.Google Scholar

Harewell, J. L., Pina, A., & Storey, J. E. (2021). Cyberstalking: Prevalence, characteristics, and impact. In Powell, A., Flynn, A., & Sugiura, L. (Eds.), The Palgrave Handbook of Gendered Violence and Technology. Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-030-83734-1_11Google Scholar

Harms, P. D., Marbut, A., Johnston, A. C., Lester, P., & Fezzey, T. (2022). Exposing the darkness within: A review of dark personality traits, models, and measures and their relationship to insider threats. Journal of Information Security and Applications, 71, 103378. https://doi.org/10.1016/j.jisa.2022.103378CrossRefGoogle Scholar

Harper, C. A., Fido, D., & Petronzi, D. (2021). Delineating non-consensual sexual image offending: Towards an empirical approach. Aggression and Violent Behavior, 58, e101547. https://doi.org/10.1016/j.avb.2021.101547CrossRefGoogle Scholar

Harper, C. A., Smith, L., Leach, J., Daruwala, N. A., & Fido, D. (2022). Development and validation of the beliefs about revenge pornography questionnaire. Sexual Abuse. https://doi.org/10.1177/10790632221082663Google ScholarPubMed

Harrison, A., Summers, J., & Mennecke, B. (2018). The effects of the Dark Triad on unethical behavior. Journal of Business Ethics, 153, 53–77. https://doi.org/10.1007/s10551-016-3368-3CrossRefGoogle Scholar

Hassanein, M., Rady, S., Hussein, W., & Gharib, T. F. (2021). Predicting the Dark Triad for social network users using their personality characteristics. International Journal for Computers & Their Applications, 28(4), 204–211.Google Scholar

Hayes, N. L., Marsee, M. A., & Russell, D. W. (2020). Latent profile analysis of traditional and cyber-aggression and victimization: Associations with Dark Triad traits and psychopathology symptoms. Journal of Psychopathology and Behavioral Assessment, 1–14. https://doi.org/10.1007/s10862-020-09835-2Google Scholar

Hearn, J., & Hall, M. (2022). From physical violence to online violation: Forms, structures and effects: A comparison of the cases of “domestic violence” and “revenge pornography”. Aggression and Violent Behavior, 101779. https://doi.org/10.1016/j.avb.2022.101779CrossRefGoogle Scholar

Heatherington, W., & Coyne, I. (2014). Understanding individual experiences of cyberbullying encountered through work. International Journal of Organizational Theory and Behavior, 17, 163–192. https://doi.org/10.1108/IJOTB-17-02-2014-B002CrossRefGoogle Scholar

Henle, C. A., & Blanchard, A. L. (2008). The interaction of work stressors and organizational sanctions on cyberloafing. Journal of Managerial Issues, 20(3), 383–400. www.jstor.org/stable/40604617Google Scholar

Herbst, T. (2014). The Dark Side of Leadership: A Psycho-Spiritual Approach towards Understanding the Origins of Personality Dysfunctions: Derailment and the Restoration of Personality. UK: Author House.Google Scholar

Hernández, M. P., Schoeps, K., Maganto, C., & Montoya-Castilla, I. (2021). The risk of sexual-erotic online behavior in adolescents – Which personality factors predict sexting and grooming victimization? Computers in Human Behavior, 114, 106569. https://doi.org/10.1016/j.chb.2020.106569CrossRefGoogle Scholar

Herron, M. M. (2021). Social media bullying in the workplace: Impacts on motivation, productivity, and workplace culture. In Ramos Salazar, L. (Ed.), Handbook of Research on Cyberbullying and Online Harassment in the Workplace, Chapter 4 (pp. 72–89). Hershey PA, USA: IGI Global.Google Scholar

Hertlein, K. M., & van Dyck, L. E. (2020). Predicting engagement in electronic surveillance in romantic relationships. Cyberpsychology, Behavior, and Social Networking, 23(9), 604–610. https://doi.org/10.1089/cyber.2019.0424CrossRefGoogle ScholarPubMed

Hillier, K., & Greig, C. (March 11, 2022). The art of the con: “Inventing Anna,” “The Tinder Swindler” and gender. The Conversation. Retrieved from https://interaksyon.philstar.com/hobbies-interests/2022/03/11/212645/the-art-of-the-con-inventing-anna-the-tinder-swindler-and-gender/Google Scholar

Hogan, R., & Fico, J. M. (2011). Leadership. In Campbell, W. K., & Miller, J. D. (Eds.), The Handbook of Narcissism and Narcissistic Personality Disorder: Theoretical Approaches, Empirical Findings, and Treatments (pp. 393–402). New York: Wiley. https://doi.org/10.1002/9781118093108.ch35CrossRefGoogle Scholar

Holt, T., Bossler, A., & Seigfried-Spellar, K. (2022). Cybercrime and Digital Forensics: An Introduction (3rd Edition). Abingdon: Routledge. http://ebookcentral.proquest.com/lib/ecu/detail.action?docID=6963530CrossRefGoogle Scholar

Horowitz, M. (November 2021). Cybercrime predictions for 2022: Deepfakes, cryptocurrencies and misinformation. Check Point® Software Technologies. https://blog.checkpoint.com/2021/10/26/deepfakes-cryptocurrency-and-mobile-wallets-cybercriminals-find-new-opportunities-in-2022/Google Scholar

Hossain, M. A., Quaddus, M., Warren, M., Akter, S., & Pappas, I. (2022). Are you a cyberbully on social media? Exploring the personality traits using a fuzzy-set configurational approach. International Journal of Information Management, 66. https://doi.org/10.1016/j.ijinfomgt.2022.102537CrossRefGoogle Scholar

Hou, X., Ren, S., Rozgonjuk, D., Song, L., Xi, J., & Mõttus, R. (2023). The longitudinal association between narcissism and problematic social networking sites use: The roles of two social comparison orientations. Addictive Behaviors, 107786. https://doi.org/10.1016/j.addbeh.2023.107786CrossRefGoogle ScholarPubMed

Hu, Y., Li, H., Yang, H., Sun, Y., Sun, L., & Wang, Z. (2019). Detecting stealthy attacks against industrial control systems based on residual skewness analysis. EURASIP Journal on Wireless Communications and Networking, 2019(1), 1–14.CrossRefGoogle Scholar

Huang, Y., Gan, X., Jin, X., Rao, S., Guo, B., He, Z., & Wei, Z. (2023). The relationship between the Dark Triad and bullying among Chinese adolescents: The role of social exclusion and sense of control. Frontiers in Psychology, 14, 1173860. https://doi.org/10.3389/fpsyg.2023.1173860CrossRefGoogle ScholarPubMed

Hughes, S., & Samuels, H. (2021). Dark desires: The Dark Tetrad and relationship control. Personality and Individual Differences, 171, 110548. https://doi.org/10.1016/j.paid.2020.110548CrossRefGoogle Scholar

Hussain, S. M., Sultan, S., Muniandy, V. D., & Haslindawati, N. (2022). An insight into the differences of psychological disparate motivations between hackers and crackers, Journal of Correctional Issues, 5(1), 27–32. https://doi.org/10.52472/jci.v5i1.94CrossRefGoogle Scholar

Hussain, Z., Griffiths, M. D., & Sheffield, D. (2017). An investigation into problematic smartphone use: The role of narcissism, anxiety, and personality factors. Journal of Behavioral Addiction, 6(3), 378–386. https://doi.org/10.1556/2006.6.2017.052CrossRefGoogle ScholarPubMed

Hussain, A., Khan, H., AJaml, I., & Akhtar, Y. (2023). Relationship of narcissism, Machiavellianism, and psychopathy personality traits with social media addiction among adults: Gender and marital status are in focus. Journal of Social Sciences Review, 3(2), 1012–1021.CrossRefGoogle Scholar

Hussain, Z., & Pontes, H. M. (2018). Personality, internet addiction, and other technological addictions: A psychological examination of personality traits and technological addictions. In Bozoglan, B. (Ed.), Psychological, Social, and Cultural Aspects of Internet Addiction (pp. 45–71). Hershey, PA: IGI Global:. https://doi.org/10.4018/978-1-5225-3477-8.ch003CrossRefGoogle Scholar

Hussain, Z., & Pontes, H. M. (2019). Personality, internet addiction, and other technological addictions: An update of the research literature. In Bozoglan, B. (Ed.), Multifaceted Approach to Digital Addiction and Its Treatment (pp. 46–72). IGI Global. https://doi.org/10.4018/978-1-5225-8449-0.ch003CrossRefGoogle Scholar

Hussain, Z., Wegmann, E., & Griffiths, M. D. (2021). The association between problematic social networking site use, Dark Triad traits, and emotion dysregulation. BMC Psychology, 9, 160 (2021). https://doi.org/10.1186/s40359-021-00668-6CrossRefGoogle ScholarPubMed

IC3. (2015). Internet crime complaint center: 2013 internet crime report. Accessed on August 9, 2016. Retrieved from www.ic3.gov/media/annualreport/2015_ic3report.pdfGoogle Scholar

Ibrahim, Y. (2010). Social Networking Sites (SNS) and the ‘Narcissistic Turn’: The politics of self-exposure. In Social Computing: Concepts, Methodologies, Tools, and Applications (pp. 1855–1868). IGI Global. https://doi.org/10.4018/978-1-60566-727-0.ch006CrossRefGoogle Scholar

Iftikhar, M., & Tariq, S. (2014). Self-control, narcissistic tendencies and internet addiction among adolescents. Journal of Arts & Social Sciences, 1(2), 37–52.Google Scholar

Ildirim, E. (2021). Personality factors predicting cyberbullying and online harassment. In Ramos Salazar, L. (Ed.), Handbook of Research on Cyberbullying and Online Harassment in the Workplace, Chapter 7 (pp. 130–152). Hershey PA, USA: IGI Global.Google Scholar

Insurance Fraud. (2022). Retrieved on February 1, 2022, from https://en.wikipedia.org/wiki/Insurance_fraudGoogle Scholar

Internet Live Stats. (2022). Internet users in the world. Retrieved from www.statista.com/statistics/273018/number-of-internet-users-worldwide/Google Scholar

Jabłońska, M. R., & Zajdel, R. (2020). The Dark Triad traits and problematic internet use: Their structure and relations. Polish Sociological Review 212(4), 477–495.Google Scholar

James, N. (2023, May 2). Cybersecurity Statistics 2023 [Updated]. Astra. Retrieved from www.getastra.com/blog/security-audit/cyber-security-statistics/Google Scholar

Jandaghi, G., Alvani, S. M., Matin, H. Z., & Kozekanan, S. F. (2015). Cyberloafing management in organizations. Iranian Journal of Management Studies, 8(3), 335–349. https://doi.org/10.22059/IJMS.2015.52634Google Scholar

Jauk, E., & Dieterich, R. (2019). Addiction and the dark triad of personality. Frontiers in Psychiatry, 10, 662. https://doi.org/10.3389/fpsyt.2019.00662CrossRefGoogle ScholarPubMed

Jeffrey, C., Peltier, C., & Vannest, K. (2020). The effects of an online psychoeducational workshop to decrease anxiety and increase empowerment in victims of trolling and cyberbullying. Journal of Online Learning Research, 6(3), 265–296. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). Retrieved on February 5, 2023, from www.learntechlib.org/primary/p/216915/Google Scholar

Jin, C. C., Wang, B. C., & Ji, A. T. (2019). The relationship between the Dark Triad and internet adaptation among adolescents in China: Internet use preference as a mediator. Frontier Psychology, 10, 2023. https://doi.org/10.3389/fpsyg.2019.02023CrossRefGoogle Scholar

Jin, C., Wang, B., Ji, A., & Zhao, B. (2022). Perceived parental monitoring and online deviant behavior among Chinese adolescents: A moderated mediation. Journal of Child and Family Studies, 31(10), 2825–2836. https://doi.org/10.1007/s10826-022-02237-wCrossRefGoogle Scholar

Johnson, L. K., Plouffe, R. A., & Saklofske, D. H. (2019). Subclinical sadism and the Dark Triad: Should there be a Dark Tetrad? Journal of Individual Differences, 40(3), 127–133. https://doi-org.ezproxy.haifa.ac.il/10.1027/1614-0001/a000284CrossRefGoogle Scholar

Johnston, J. E. (February 15, 2022). Think you couldn’t be duped by a con artist? Think again. Psychology Today. Retrieved from www.psychologytoday.com/intl/blog/the-human-equation/202202/think-you-couldnt-be-duped-con-artist-think-againGoogle Scholar

Jonason, P. K. (2014). Personality and politics. Personality and Individual Differences, 71, 181–184. https://doi.org/10.1016/j.paid.2014.08.002CrossRefGoogle Scholar

Jonason, P., & Bulyk, R. (2019). Who uses Tinder? The Dark Triad traits, attachment, and mate value. Studia Psychologica: Theoria et Praxis, 19(1), 5–15. Retrieved from www.infona.pl/resource/bwmeta1.element.ojs-doi-10_21697_sp_2019_19_1_01Google Scholar

Jonason, P. K., Kaźmierczak, I., Campos, A. C., & Davis, M. D. (2021). Leaving without a word: Ghosting and the Dark Triad traits. Acta Psychologica, 220, 103425. https://doi.org/10.1016/j.actpsy.2021.103425CrossRefGoogle ScholarPubMed

Jonason, P. K., Li, N. P., Webster, G. D., & Schmitt, D. P. (2009). The Dark Triad: Facilitating a short‐term mating strategy in men. European Journal of Personality, 23(1), 5–18. https://doi.org/10.1002/per.698CrossRefGoogle Scholar

Jonason, P. K., Slomski, S., & Partyka, J. (2012). The Dark Triad at work: How toxic employees get their way. Personality and Individual Differences, 52(3), 449–453. https://doi.org/10.1016/j.paid.2011.11.008CrossRefGoogle Scholar

Jones, D. N., & Figueredo, A. J. (2013). The core of darkness: Uncovering the heart of the Dark Triad. European Journal of Personality, 27(6), 521–531. https://doi.org/10.1002/per.1893CrossRefGoogle Scholar

Jones, D. N., Padilla, E., Curtis, S. R., & Kiekintveld, C. (2021). Network discovery and scanning strategies and the Dark Triad. Computers in Human Behavior, 122, 106799. https://doi.org/10.1016/j.chb.2021.106799CrossRefGoogle Scholar

Jones, D. N., & Paulhus, D. L. (2010). Different provocations trigger aggression in narcissists and psychopaths. Social Psychological and Personality Science, 1, 12–18. http://dx.doi.org/10.1177/1948550609347591CrossRefGoogle Scholar

Jones, D. N., & Paulus, D. L. (2009). Machiavellianism. In Leary, M. R., & Hoyle, R. H. (Eds.), Individual Differences in Social Behavior (pp. 93–108). New York, NY: Guilford Press.Google Scholar

Jones, D. N., & Paulhus, D. L. (2014). Introducing the short Dark Triad (SD3): A brief measure of dark personality traits. Assessment, 21(1), 28–41. https://doi.org/10.1177/1073191113514105CrossRefGoogle ScholarPubMed

Jung, Y. E., Leventhal, B., Kim, Y. S., Park, T. W., Lee, S. H., Lee, M., … & Park, J. I. (2014). Cyberbullying, problematic internet use, and psychopathologic symptoms among Korean youth. Yonsei Medical Journal, 55(3), 826–830. https://doi.org/10.3349/ymj.2014.55.3.826CrossRefGoogle ScholarPubMed

Kalaitzaki, A., Laconi, S., Spritzer, D. T., Hauck, S., Gnisci, A., Sergi, I., … & Sahlan, R. N. (2022). The prevalence and predictors of problematic mobile phone use: A 14-country empirical survey. International Journal of Mental Health and Addiction, 1–20. https://doi-org.ezproxy.haifa.ac.il/10.1007/s11469-022-00901-2Google Scholar

Kallis, R. B., & Meluch, A. L. (2021). Workplace cyberbullying and online harassment as an organizational threat: Exploring the negative organizational outcomes. In Ramos Salazar, L. (Ed.), Handbook of Research on Cyberbullying and Online Harassment in the Workplace, Chapter 9 (pp. 176–196). Hershey PA, USA: IGI Global.Google Scholar

Kanbur., E., & Kanbur, A. (2021). Phubbing at workplace. In Bingol, U. (Ed.), Trending Topics on Social Media Researchers, Section 2 (pp. 147–160). Berlin: Peter Lang Gmbh.Google Scholar

Kapidzic, S. (2013). Narcissism as a predictor of motivations behind Facebook profile picture selection. Cyberpsychology, Behavior, and Social Networking, 16(1), 14–19. https://doi.org/10.1089/cyber.2012.0143CrossRefGoogle ScholarPubMed

Karasavva, V., Brunet, L., Smodis, A., Swanek, J., & Forth, A. (2023b). Putting the Y in cyberflashing: Exploring the prevalence and predictors of the reasons for sending unsolicited nude or sexual images. Computers in Human Behavior, 140, 107593. https://doi.org/10.1016/j.chb.2022.107593CrossRefGoogle Scholar

Karasavva, V., & Forth, A. (2022). Personality, attitudinal, and demographic predictors of non-consensual dissemination of intimate images. Journal of Interpersonal Violence, 37(21–22), NP19265–NP19289. https://doi-org.ezproxy.haifa.ac.il/10.1177/08862605211043586CrossRefGoogle ScholarPubMed

Karasavva, V., Swanek, J., Smodis, A., & Forth, A. (2023a). From myth to reality: Sexual image abuse myth acceptance, the Dark Tetrad, and non-consensual intimate image dissemination proclivity. Journal of Sexual Aggression, 29(1), 51–67. https://doi-org.ezproxy.haifa.ac.il/10.1080/13552600.2022.2032430CrossRefGoogle Scholar

Karlsson, A. M. C., & Kajonius, P. J. (2020). Not only Trolls are Trolling the Internet: A study on dark personality traits, online environment, and commentary styles. International Journal of Personality Psychology, 6, 12–23. https://doi.org/10.21827/ijpp.6.37214CrossRefGoogle Scholar

Karthikeyan, C. (2020). Workplace cyberbullying and its impact on productivity, In Ramos Salazar, L. (Ed.), Handbook of Research on Cyberbullying and Online Harassment in the Workplace, Chapter 10 (pp. 197–214). Hershey PA, USA: IGI Global.Google Scholar

Karthikeyan, C. (2022). Workplace cyberbullying in organizations with criminal intent and subtle means: A very pleasant and safe organization culture brings in a better work culture in an organization. In Handbook of Research on Digital Violence and Discrimination Studies (pp. 568–588). IGI Global. https://doi.org/10.4018/978-1-7998-9187-1.ch025Google Scholar

Kasper, T. E., Short, M. B., & Milam, A. C. (2015). Narcissism and Internet pornography use. Journal of Sex & Marital Therapy, 41(5), 481–486. https://doi.org/10.1080/0092623X.2014.931313CrossRefGoogle ScholarPubMed

Katagelasticism. (2023, May 9). In Wikipedia. https://en.wikipedia.org/wiki/KatagelasticismGoogle Scholar

Kemp, S. (2023). Facebook statistics and trends. DataReportal. Retrieved from https://datareportal.com/essential-facebook-statsGoogle Scholar

Keskin, H., Akgün, A. E., Ayar, H., & Kayman, Ş. S. (2016). Cyberbullying victimization, counterproductive work behaviours and emotional intelligence at workplace. Procedia-Social and Behavioral Sciences, 235, 281–287. https://doi.org/10.1016/j.sbspro.2016.11.031CrossRefGoogle Scholar

Kim, J. H., & Kim, Y. (2019). Instagram user characteristics and the color of their photos: Colorfulness, color diversity, and color harmony. Information Processing & Management, 56(4), 1494–1505. https://doi.org/10.1016/j.ipm.2018.10.018CrossRefGoogle Scholar

King, Z., Henshel, D., Flora, L., Cains, M. G., Hoffman, B., & Sample, C. (2018). Characterizing and measuring maliciousness for cybersecurity risk assessment. Frontiers in Psychology, 9(39). https://doi.org/10.3389/fpsyg.2018.00039CrossRefGoogle ScholarPubMed

Kircaburun, K., Demetrovics, Z., & Tosuntaş, Ş. B. (2019). Analyzing the links between problematic social media use, Dark Triad traits, and self-esteem. International Journal of Mental Health Addiction, 17, 1496–1507. https://doi.org/10.1007/s11469-018-9900-1CrossRefGoogle Scholar

Kircaburun, K., & Griffiths, M. D. (2018). The dark side of internet: Preliminary evidence for the associations of dark personality traits with specific online activities and problematic internet use. Journal of Behavioral Addictions, 7(4), 993–1003. https://doi.org/10.1556/2006.7.2018.109CrossRefGoogle ScholarPubMed

Kircaburun, K., Jonason, P. K., & Griffiths, M. D. (2018a). The Dark Tetrad traits and problematic social media use: The mediating role of cyberbullying and cyberstalking. Personality and Individual Differences, 135, 264–269.CrossRefGoogle Scholar

Kircaburun, K., Jonason, P. K., & Griffiths, M. D. (2018b). The Dark Tetrad traits and problematic online gaming: The mediating role of online gaming motives and moderating role of game types. Personality and Individual Differences, 135, 298–303. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.paid.2018.07.038CrossRefGoogle Scholar

Kircaburun, K., March, E., Balta, S., Emirtekin, E., Kışla, T., & Griffiths, M. D. (2022). The role of procrastination between personality traits and addictive mukbang watching among emerging adults. SAGE Open, 12(1). https://doi.org/10.1177/21582440221085006CrossRefGoogle Scholar

Kiziloglu, M., Dluhopolskyi, O., Koziuk, V., Vitvitskyi, S., & Kozlovskyi, S. (2021). Dark personality traits and job performance of employees: The mediating role of perfectionism, stress, and social media addiction. Problems and Perspectives in Sinderman, 19(3), 533–544.CrossRefGoogle Scholar

Koban, K., Stein, J. P., Eckhardt, V., & Ohler, P. (2018). Quid pro quo in Web 2.0. Connecting personality traits and Facebook usage intensity to uncivil commenting intentions in public online discussions. Computers in Human Behavior, 79, 9–18. https://doi.org/10.1016/j.chb.2017.10.015CrossRefGoogle Scholar

Kong, F., Wang, M., Zhang, X., Li, X., & Sun, X. (2021). Vulnerable narcissism in social networking sites: The role of upward and downward social comparisons. Frontiers in Psychology, 3921. https://doi.org/10.3389/fpsyg.2021.711909Google ScholarPubMed

Kowalski, C. M., Rogoza, R., Saklofske, D. H., & Schermer, J. A. (2021). Dark Triads, tetrads, tents, and cores: Why navigate (research) the jungle of dark personality models without a compass (criterion)? Acta Psychologica, 221, 103455. https://doi.org/10.1016/j.actpsy.2021.103455CrossRefGoogle ScholarPubMed

Kowalski., R. M., & Robbins, C. E. (2021). The meaning, prevalence, and outcomes of cyberbullying in the workplace. In Ramos Salazar, L. (Ed.), Handbook of Research on Cyberbullying and Online Harassment in the Workplace, Chapter 1 (pp. 1–22). Hershey PA, USA: IGI Global.Google Scholar

KPMG. (2013). Global profiles of the fraudster: White-collar crime-present and future. Retrieved from www.kpmg.com/Global/en/IssuesAndInsights/ArticlesPublications/global-profilesof-the-fraudster/Documents/global-profiles-of-the-fraudster-v3.pdfGoogle Scholar

Kramer, B. K. P., & Seda, M. A. (2017). What in the world were you thinking?! Inside the mindset of fraud perpetrators. International Journal of Psychology Research, 12(3), 229–269.Google Scholar

Kristinsdottir, K. H., Gylfason, H. F., & Sigurvinsdottir, R. (2021). Narcissism and social media: The role of communal narcissism. International Journal of Environmental Research and Public Health, 18(19), 10106. MDPI AG. Retrieved from http://dx.doi.org/10.3390/ijerph181910106CrossRefGoogle ScholarPubMed

Kumpasoğlu, G. B., Eltan, S., Merdan-Yıldız, E. D., & Batıgün, A. D. (2021). Mediating role of life satisfaction and death anxiety in the relationship between Dark Triad and social media addiction. Personality and Individual Differences, 172, 1–8, 110606.CrossRefGoogle Scholar

Kurek, A., Jose, P. E., & Stuart, J. (2019). ‘I did it for the LULZ’: How the dark personality predicts online disinhibition and aggressive online behavior in adolescence. Computers in Human Behavior, 98, 31–40. https://doi.org/10.1016/j.chb.2019.03.027CrossRefGoogle Scholar

Laakasuo, M., Repo, M., Drosinou, M., Berg, A., Kunnari, A., Koverola, M., … & Sundvall, J. (2021). The dark path to eternal life: Machiavellianism predicts approval of mind upload technology. Personality and Individual Differences, 177, 110731. https://doi.org/10.1016/j.paid.2021.110731CrossRefGoogle Scholar

Lai, K., Jing, G., Zhao, J., & Xiong, X. (2023). How Dark Triad influences rumors spreading on social media? Mediating role of declining third-person effect. Current Psychology, 1–7.Google Scholar

Lamphere, R. D., & Lucas, K. T. (2019). Online romance in the 21st century: Deceptive online dating, catfishing, romance scams, and “mail order” marriages. In Chiluwa, I. E., & Samoilenko, S. A. (Eds.), Deception, Fake News, and Misinformation Online (pp. 475–488). Hershey: IGI Global.CrossRefGoogle Scholar

Lancaster, M., Seibert, G. S., Cooper, A. N., May, R. W., & Fincham, F. (2019). Relationship quality in the context of cyber dating abuse: The role of attachment. Journal of Family Issues, 41(6), 739–758. https://doi.org/10.1177/0192513X19881674CrossRefGoogle Scholar

Lauder, C., & March, E. (2023). Catching the catfish: Exploring gender and the Dark Tetrad as predictors of catfishing perpetration. Computers in Human Behavior, 107599. https://doi.org/10.1016/j.chb.2022.107599CrossRefGoogle Scholar

Lazic, M. (2022). Shocking Insurance Fraud Statistics for 2022. LegalJobs. Retrieved from https://legaljobs.io/blog/insurance-fraud-statistics/Google Scholar

Lee, K., Ashton, M. C., Wiltshire, J., Bourdage, J. S., Visser, B. A., & Gallucci, A. (2013). Sex, power, and money: Prediction from the Dark Triad and honesty–humility. European Journal of Personality, 27(2), 169–184. https://doi.org/10.1002/per.1860CrossRefGoogle Scholar

Lee, B., & Paek, S. Y. (2020). Phishing and financial manipulation. In Holt, T., & Bossler, A. (Eds.), The Palgrave Handbook of International Cybercrime and Cyberdeviance. Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-319-78440-3_43Google Scholar

Lee, S. L. (2019). Predicting SNS addiction with the Big Five and the Dark Triad. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(1). http://dx.doi.org/10.5817/CP2019-1-3CrossRefGoogle Scholar

Lee, S. L., & Lim, S. X. (2020). Predicting internet addiction with the Dark Triad: Beyond the five-factor model. Psychology of Popular Media. https://doi.org/10.1037/ppm0000336Google Scholar

Lee, S. L., Tan, Y. E., Tam, C. L., & Ahn, J. (2022). The facilitative effect of impulsiveness on the Dark Triad and social network sites addiction: The Dark Triad, impulsiveness, SNS addiction. International Journal of Technology and Human Interaction (IJTHI), 18(1), 1–15. https://doi.org/10.4018/IJTHI.297612CrossRefGoogle Scholar

Lee, S. Y., Yao, M. Z., & Su, L. Y. F. (2021). Expressing unpopular opinion or trolling: Can dark personalities differentiate them? Telematics and Informatics, 63, 101645. https://doi.org/10.1016/j.tele.2021.101645Google Scholar

Leite, Â., Cardoso, S., & Monteiro, A. P. (2023). Dark personality traits and online behaviors: Portuguese versions of cyberstalking, online harassment, flaming and trolling scales. International Journal of Environmental Research and Public Health, 20(12), 6136. https://doi.org/10.3390/ijerph20126136CrossRefGoogle ScholarPubMed

Li, W., Bizumic, B., Sivanathan, D., & Chen, J. (2022). Vulnerable and grandiose narcissism differentially predict phubbing via social anxiety and problematic social media use. SSRN. https://ssrn.com/abstract=4225316 or http://dx.doi.org/10.2139/ssrn.4225316CrossRefGoogle Scholar

Lim, V. K. G. (2002). The IT way of loafing on the job – Cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior, 23(5), 675–694. https://doi.org/10.1002/job.161CrossRefGoogle Scholar

Lim, V. K., & Teo, T. S. (2022). Cyberloafing: A review and research agenda. Applied Psychology. https://doi-org.ezproxy.haifa.ac.il/10.1111/apps.12452Google Scholar

Linares, R., Aranda, M., García-Domingo, M., Amezcua, T., Fuentes, V., & Moreno-Padilla, M. (2021). Cyber-dating abuse in young adult couples: Relations with sexist attitudes and violence justification, smartphone usage and impulsivity. PLoS One, 16(6), e0253180. https://doi.org/10.1371/journal.pone.0253180CrossRefGoogle ScholarPubMed

Liu, A., Zhang, E., Leroux, E. J., & Benassi, P. (2022). Sexual sadism disorder and coercive paraphilic disorder: A scoping review. The Journal of Sexual Medicine, 19(3), 496–506. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.jsxm.2022.01.002CrossRefGoogle ScholarPubMed

Liu, Y., & Zheng, L. (2020). Relationships between the Big Five, narcissistic personality traits, and online sexual activities. Personality and Individual Differences, 152, 109593. https://doi.org/10.1016/j.paid.2019.109593CrossRefGoogle Scholar

Liu, Y., Zhou, B., Ouyang, Y., Yang, B., & Xie, Q. (2023). Development and validation of Chinese form Short Dark Tetrad (C-SD4). Heliyon. https://doi.org/10.1016/j.heliyon.2023.e12929Google ScholarPubMed

Ljepava, N., Orr, R. R., Locke, S., & Ross, C. (2013). Personality and social characteristics of Facebook non-users and frequent users. Computers in Human Behavior, 29(4), 1602–1607. https://doi.org/10.1016/j.chb.2013.01.026CrossRefGoogle Scholar

Logic Bomb. (February 13, 2023). In Wikipedia. Retrieved from https://en.wikipedia.org/wiki/Logic_bombGoogle Scholar

Lopes, B., & Yu, H. (2017). Who do you troll and Why: An investigation into the relationship between the Dark Triad Personalities and online trolling behaviours towards popular and less popular Facebook profiles. Computers in Human Behavior, 77, 69–76. https://doi.org/10.1016/j.chb.2017.08.036CrossRefGoogle Scholar

Lowe-Calverley, E., & Grieve, R. (2017). Web of deceit: Relationships between the Dark Triad, perceived ability to deceive and cyberloafing. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 11(2). https://doi.org/10.5817/CP2017-2-5CrossRefGoogle Scholar

Lykken, D. T. (1995). The Antisocial Personalities. Hillsdale, NJ: Erlbaum. https://doi.org/10.4324/9780203763551Google Scholar

Lyons, M., Gillies, N., & Brewer, G. (2019). Dark Triad traits, Facebook intensity, and intrasexual competition. Personality and Individual Differences, 141, 157–159. https://doi.org/10.1016/j.paid.2019.01.012CrossRefGoogle Scholar

Lyons, M., Messenger, A., Perry, R., & Brewer, G. (2020). The Dark Tetrad in Tinder®: Hook-up app for high psychopathy individuals, and a diverse utilitarian tool for Machiavellians? Current Psychology, 41, 659–666. https://doi.org/10.1007/s12144-019-00589-zCrossRefGoogle Scholar

Lyons, M., Messenger, A., Perry, R., & Brewer, M. (2022a). The Dark Tetrad in Tinder: hook-up app for high psychopathy individuals, and a diverse utilitarian tool for Machiavellians? Current Psychology, 41, 659–666. https://doi.org/10.1007/s12144-019-00589-zCrossRefGoogle Scholar

Lyons, M., Rowe, A., Waddington, R., & Brewer, G. (2022b). Situational and dispositional factors in rape cognitions: The roles of social media and the Dark Triad traits. Journal of Interpersonal Violence, 37(11–12), https://doi.org/10.1177/0886260520985499CrossRefGoogle ScholarPubMed

Maasberg, M., Van Slyke, C., Ellis, S., & Beebe, N. (2020). The Dark Triad and insider threats in cyber security. Communications of the ACM, 63(12), 64–80. https://doi.org/10.1145/3408864CrossRefGoogle Scholar

Maasberg, M., Warren, J., & Beebe, N. L. (January 2015). The dark side of the insider: Detecting the insider threat through examination of Dark Triad personality traits. In 2015 48th Hawaii International Conference on System Sciences (pp. 3518–3526). IEEE.CrossRefGoogle Scholar

Madan, A. O. (2014). Cyber aggression/cyber bullying and the Dark Triad: Effect on workplace behavior/performance. International Journal of Computer and Systems Engineering, 8(6), 1740–1745. https://waset.org/publications/9998533/cyber-aggression-cyber-bullyingand-the-dark-triad-effect-on-workplace-behavior-performanceGoogle Scholar

Maftei, A., Holman, A. C., & Merlici, I. A. (2022). Using fake news as means of cyber-bullying: The link with compulsive internet use and online moral disengagement. Computers in Human Behavior, 127, 107032. https://doi.org/10.1016/j.chb.2021.107032CrossRefGoogle Scholar

Maimon, D., Babko-Malaya, O., Cathey, R., & Hinton, S. (November 2017). Re-Thinking Online Offenders’ SKRAM: Individual Traits and Situational Motivations as Additional Risk Factors for Predicting Cyber Attacks. In 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech) (pp. 232–238). IEEE.CrossRefGoogle Scholar

Mantilla, K. (2013). Gendertrolling: Misogyny adapts to new media. Feminist Studies, 39(2), 563–570. https://doi.org/10.1353/fem.2013.0039CrossRefGoogle Scholar

Manuoğlu, E., & Öner-Özkan, B. (2022). Sarcastic and deviant trolling in Turkey: Associations with Dark Triad and aggression. Social Media + Society, 8(3). https://doi.org/10.1177/20563051221126053CrossRefGoogle Scholar

Maple, C., Short, E., & Brown, A. (2011). Cyberstalking in the United Kingdom: An Analysis of the ECHO Pilot Survey. National Centre for Cyberstalking Research, University of Bedfordshire. Retrieved from https://paladinservice.co.uk/wp-content/uploads/2013/12/ECHO_Pilot_Final-Cyberstalking-in-the-UK-University-of-Bedfordshire.pdfGoogle Scholar

Marbut, A. R., & Harms, P. D. (2023). Fiends and fools: A narrative review and neo-socioanalytic perspective on personality and insider threats. Journal of Business and Psychology, 1–18. https://doi.org/10.1007/s10869-023-09885-9Google Scholar

March, E. (2019). Psychopathy, sadism, empathy, and the motivation to cause harm: New evidence confirms malevolent nature of the Internet Troll. Personality and Individual Differences, 141, 133–137. https://doi.org/10.1016/j.paid.2019.01.001CrossRefGoogle Scholar

March, E. (2022). Psychopathy: Cybercrime and cyber abuse. In Marques, P. B., Paulino, P., & Alho, L. (Eds.), Psychopathy and Criminal Behavior (pp. 423–444). Academic Press. https://doi.org/10.1016/B978-0-12-811419-3.00015-7CrossRefGoogle Scholar

March, E., Grieve, R., Clancy, E., Klettke, B., van Dick, R., & Hernandez Bark, A. S. (2021b). The role of individual differences in cyber dating abuse perpetration. Cyberpsychology, Behavior, and Social Networking, 24(7), 457–463. https://doi.org/10.1089/cyber.2020.0687CrossRefGoogle ScholarPubMed

March, E., Grieve, R., Marrington, J., & Jonason, P. K. (2017). Trolling on Tinder (and other dating apps): Examining the role of the Dark Tetrad and impulsivity. Personality and Individual Differences, 110, 139–143. https://doi.org/10.1016/j.paid.2017.01.025CrossRefGoogle Scholar

March, E., Grieve, R., Wagstaff, D., & Slocum, A. (2020a). Exploring anger as a moderator of narcissism and antisocial behaviour on tinder. Personality and Individual Differences, 161, 109961. https://doi.org/10.1016/j.paid.2020.109961CrossRefGoogle Scholar

March, E., Litten, V., Sullivan, D. H., & Ward, L. (2020b). Somebody that I (used to) know: Gender and dimensions of dark personality traits as predictors of intimate partner cyberstalking. Personality and Individual Differences, 163, 110084. https://doi.org/10.1016/j.paid.2020.110084CrossRefGoogle Scholar

March, E., Marrington, J. Z. (2021). Antisocial and Prosocial online behaviour: Exploring the roles of the Dark and Light Triads. Current Psychology. https://doi.org/10.1007/s12144-021-01552-7Google Scholar

March, E., & Marrington, J. Z. (2023). Antisocial and Prosocial online behaviour: Exploring the roles of the Dark and Light Triads. Current Psychology, 42(2), 1390–1393. https://doi.org/10.1007/s12144-021-01552-7CrossRefGoogle Scholar

March, E., McDonald, L., & Forsyth, L. (2023). Personality and internet trolling: A validation study of a representative sample. Current Psychology, 1–4. https://doi.org/10.1007/s12144-023-04586-1Google Scholar

March, E., & Steele, G. (2020). High esteem and hurting others online: Trait sadism moderates the relationship between self-esteem and internet trolling. Cyberpsychology, Behavior, and Social Networking, 23(7), 441–446. https://doi.org/10.1089/cyber.2019.0652CrossRefGoogle ScholarPubMed

March, E., Szymczak, P., Di Rago, M., & Jonason, P. K. (2022). Passive, invasive, and duplicitous: Three forms of intimate partner cyberstalking. Personality and Individual Differences, 189, 111502. https://doi.org/10.1016/j.paid.2022.111502CrossRefGoogle Scholar

March, E., Szymczak, P., Smoker, M., & Jonason, P. K. (2021a). Who cyberstalked their sexual and romantic partners? Sex differences, dark personality traits, and fundamental social motives. Current Psychology, 1–4. https://doi.org/10.1007/s12144-021-02174-9Google Scholar

March, E., & Wagstaff, D. L. (2017). Sending nudes: Sex, self-rated mate value, and trait Machiavellianism predict sending unsolicited explicit images. Frontiers in Psychology, 8, 1–6. 2210. https://doi.org/10.3389/fpsyg.2017.02210CrossRefGoogle ScholarPubMed

Marengo, D., & Settanni, M. (2023). Mining Facebook data for personality prediction: An overview. In Montag, C., & Baumeister, H. (Eds.), Digital Phenotyping and Mobile Sensing: Studies in Neuroscience, Psychology and Behavioral Economics. Cham: Springer. https://doi-org.ezproxy.haifa.ac.il/10.1007/978-3-030-98546-2_8Google Scholar

Marrington, J. Z., March, E., Murray, S., Jeffries, C., Machin, T., & March, S. (2023). An exploration of trolling behaviours in Australian adolescents: An online survey. PLoS One, 18(4), e0284378. https://doi.org/10.1371/journal.pone.0284378CrossRefGoogle ScholarPubMed

Marshall, T. C., Lefringhausen, K., & Ferenczi, N. (2015). The Big Five, self-esteem, and narcissism as predictors of the topics people write about in Facebook status updates. Personality and Individual Differences, 85, 35–40. https://doi.org/10.1016/j.paid.2015.04.039CrossRefGoogle Scholar

Martin, B. A., Chrysochou, P., Strong, C., Wang, D., & Yao, J. (2022). Dark personalities and Bitcoin®: The influence of the Dark Tetrad on cryptocurrency attitude and buying intention. Personality and Individual Differences, 188, 111453. https://doi.org/10.1016/j.paid.2021.111453CrossRefGoogle Scholar

Masui, K. (2019). Loneliness moderates the relationship between Dark Tetrad personality traits and internet trolling. Personality and Individual Differences, 150, 109475. https://doi.org/10.1016/j.paid.2019.06.018CrossRefGoogle Scholar