Сајбер насиљe и аутистичке карактеристике међу запосленима у СТЕМ и другим професијама
Sažetak
Ова студија истражује однос између ангажовања у СТЕМ професијама (наука, технологија, инжењерство и математика), укључености у сајбер насиље и присуства аутистичких карактеристика код одраслих особа. У истраживању је учествовало 206 испитаника, подељених у две подгрупе: они који раде у СТЕМ професијама (44,7%) и они који нису запослени у СТЕМ областима (55,3%). Циљ је био да се испита да ли се појединци из СТЕМ области разликују од својих колега из других професија када је реч о искуствима са сајбер насиљем, како у улози жртве, тако и починиоца, као и у изражености аутистичких особина. За мерење аутистичких особина коришћена је Скала за мерење присуства аутистичких карактеристика, док је Скала сајбер насилника/жртве коришћена за процену укључености у сајбер насиље.
Резултати су показали да особе које раде у СТЕМ професијама у просеку имају више аутистичких карактеристика и чешће су и жртве и починиоци сајбер насиља, иако те разлике нису биле статистички значајне у свим поређењима. Разлике међу половима најизраженије су биле у групи испитаника који се не баве СТЕМ занимањима – мушкарци су чешће идентификовани као починиоци сајбер насиља, а жене као жртве. Насупрот томе, у СТЕМ групи разлике међу половима нису биле статистички значајне ни у погледу сајбер насиља, ни у погледу аутистичких особина. Када је реч о узрасту, највише случајева сајбер виктимизације пријавила је група од 25 до 39 година у подузорку оних који се не баве СТЕМ занимањима, што указује на то да сајбер насиље није ограничено само на адолесценте већ се наставља и у одраслом добу. Студија је такође открила малу, али статистички значајну позитивну корелацију између аутистичких особина и доживљене сајбер виктимизације, што указује на то да су особе са израженијим аутистичким карактеристикама донекле рањивије на сајбер насиље. Слично томе, позитивна корелација између вршења и доживљавања сајбер насиља сугерише циклични образац у којем починиоци често постају и жртве.
Налази овог истраживања делимично су у супротности са претходним истраживањима која углавном извештавају о већој подложности сајбер насиљу код особа у СТЕМ професијама и израженијим разликама међу половима у свим групама. Могући разлози за ове разлике укључују величину узорка и неравномерну расподелу демографских карактеристика попут пола и узраста. Истраживање истиче неколико ограничења, укључујући нерепрезентативан узорак и потребу за даљим студијама са већим и уравнотеженијим популацијама, посебно уз укључивање већег броја адолесцената, који се у литератури идентификују као најрањивија група када је реч о сајбер насиљу.
Reference
Akturk, A. O. (2015). Analysis of cyberbullying sensitivity levels of high school students and their perceived social support levels. Interactive Technology and Smart Education, 12(1), 44–61. https://doi.org/10.1108/ITSE-07-2014-0016
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Arlington, VA: American Psychiatric Publishing.
Austin, E. J. (2005). Personality correlates of the broader autism phenotype as assessed by the Autism Spectrum Quotient (AQ). Personality and Individual Differences, 38(2), 451–460. https://doi.org/10.1016/j.paid.2004.04.022
Ayas, T., & Horzum, M. B. (2010). Cyber Bully/Victim Scale development study. Akademik Bakıs, 19, 1–17.
Baron-Cohen, S. (2009). Autism: The Empathizing-Systemizing (E-S) theory. Annals of the New York Academy of Sciences, 1156(1), 68–80. https://doi.org/10.1111/j.1749-6632.2009.04467.x
Baron-Cohen, S., Cassidy, S., Auyeung, B., Allison, C., Achoukhi, M., Robertson, S., Pohl, A., & Lai, M. C. (2014). Attenuation of typical sex differences in 800 adults with autism vs. 3,900 controls. PLoS One, 9(7), 1–16. https://doi.org/10.1371/journal.pone.0102251
Baron-Cohen, S., Hoekstra, R. A., Knickmeyer, R., & Wheelwright, S. (2006). The AutismSpectrum Quotient (AQ)—adolescent version. Journal of Autism and Developmental Disorders, 36(3), 343–350. https://doi.org/10.1007/s10803-006-0073-6
Baron-Cohen, S., Wheelwright, S., Burtenshaw, A., & Hobson, E. (2007). Mathematical talent is linked to autism. Human Nature, 18(2), 125–131. https://doi.org/10.1007/s12110-007-9014-0
Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (2001). The AutismSpectrum Quotient (AQ): Evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders, 31(1), 5–17. https://doi.org/10.1023/a:1005653411471
Best, P., Manktelow, R., & Taylor, B. (2014). Online communication, social media and adolescent wellbeing: A systematic narrative review. Children and Youth Services Review, 41(2), 27–36. https://doi.org/10.1016/j.childyouth.2014.03.001
Beyazit, U., Şimşek, Ş., & Ayhan, A. B. (2017). An examination of the predictive factors of cyberbullying in adolescents. Social Behavior and Personality, 45(9), 1511–1522. https://doi.org/10.2224/SBP.6267
Bishop, D. V., Maybery, M., Maley, A., Wong, D., Hill, W., & Hallmayer, J. (2004). Using self‐report to identify the broad phenotype in parents of children with autistic spectrum disorders: A study using the Autism‐Spectrum Quotient. Journal of Child Psychology and Psychiatry, 45(8), 1431–1436. https://doi.org/10.1111/J.1469-7610.2004.00325.X
Carter, J. M., & Wilson, F. L. (2015). Cyberbullying: A 21st century health care phenomenon. Pediatric Nursing, 41(3) 115–125.
Chi, P. T. L., Lan, V. T. H., Ngan, N. H., & Linh, N. T. (2020). Online time, experience of cyber bullying and practices to cope with it among high school students in Hanoi. Health Psychology Open, 7(1), 1–15. https://doi.org/10.1177/2055102920935747
Cho, Y. K., & Yoo, J. W. (2017). Cyberbullying, internet and SNS usage types, and perceived social support: A comparison of different age groups. Information, Communication & Society, 20(10), 1464–1481. https://doi.org/10.1080/1369118X.2016.1228998
Chu, X., Li, Y., Wang, P., Zeng, P., & Lei, L. (2021). Social support and cyberbullying for university students: The mediating role of internet addiction and the moderating role of stress. Current Psychology, 1(1), 1–9. https://doi.org/10.1007/s12144-021-01607-9
Constantino, J. N. (2011). The quantitative nature of autistic social impairment. Pediatric Research, 69(1), 55–62. https://doi.org/10.1203/pdr.0b013e318212ec6e
Constantino, J. N., & Todd, R. D. (2003). Autistic traits in the general population: A twin study. Archives of General Psychiatry, 60(5), 524–530. https://doi.org/10.1001/archpsyc.60.5.524
Constantino, J. N., & Todd, R. D. (2005). Intergenerational transmission of subthreshold autistic traits in the general population. Biological Psychiatry, 57(6), 655–660. https://doi.org/10.1016/j.biopsych.2004.12.014
Constantino, J. N., Lajonchere, C., & Lutz, M. (2006). Autistic social impairment in the siblings of children with pervasive developmental disorders. American Journal of Psychiatry, 163(2), 294–296. https://doi.org/10.1176/APPI.AJP.163.2.294
Diamanduros, T., Downs, E., & Jenkins, S. J. (2008). The role of school psychologists in the assessment, prevention, and intervention of cyberbullying. Psychology in Schools, 45(1), 693–704. https://doi.org/10.1002/PITS.20335
Dymond, S. K., Meadan, H., & Pickens, J. L. (2017). Postsecondary education and students with autism spectrum disorders: Experiences of parents and university personnel. Journal of Developmental and Physical Disabilities, 29(5), 809–825. https://doi.org/10.1007/s10882-017-9558-9
Finn, J. (2004). A survey of online harassment at a university campus. Journal of Interpersonal Violence, 19(1), 468–483. https://doi.org/10.1177/0886260503262083
Fombonne, E. (2009). Epidemiology of pervasive developmental disorders. Pediatric Research, 65(6), 591–598. https://doi. org/10.1203/PDR.0b013e31819e7203
Gini, G., & Espelage, D. L. (2014). Peer victimization, cyberbullying, and suicide risk in children and adolescents. Jama, 312(5), 545–546. https://doi.org/10.1001/jama.2014.3212
Görzig, A., & Frumkin, L. A. (2013). Cyberbullying experiences on-the-go: When social media can become distressing. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 7(1), 25–32. http://dx.doi.org/10.5817/CP2013-1-4
Greenberg, D. M., Warrier, V., Allison, C., & Baron-Cohen, S. (2018). Testing the Empathizing-Systemizing theory of sex differences and the Extreme Male Brain theory of autism in half a million people. Proceedings of the National Academy of Sciences, 115(48), 12152–12157. https://doi.org/10.1073/pnas.181103211
Griffiths, A. J., Nash, A. M., Maupin, Z. D., Delgado, R., & Mathur, S. K. (2022). Creating Career Opportunities for Women with Autism in STEM. In: A. E. Hurley-Hanson & C. M. Giannantonio (Eds.), Generation A: Perspectives on Special Populations and International Research on Autism in the Workplace (pp. 3–21). Emerald Publishing Limited.
Happé, F., & Ronald, A. (2008). The ‘fractionable autism triad’: A review of evidence from behavioral, genetic, cognitive and neural research. Neuropsychology Review, 18(4), 287–304. https://doi.org/10.1007/s11065-008-9076-8
Hayward, S. M., McVilly, K. R., & Stokes, M. A. (2018). Challenges for females with high functioning autism in the workplace: A systematic review. Disability and Rehabilitation, 40(3), 249–258. https://doi.org/10.1080/09638288.2016.1254284
Heiman, T., Olenik-Shemesh, D., & Eden, S. (2015). Cyberbullying involvement among students with ADHD: Relation to loneliness, self-efficacy and social support. European Journal of Special Needs Education, 30(1), 15–29. https://doi.org/10.1080/08856257.2014.943562
Hinduja, S., & Patchin, J. (2007). Cyberbullying: An exploratory analysis of factors related to offending and victimization. Deviant Behavior, 29(2), 129–156. https://doi.org/10.1080/01639620701457816
Hinduja, S., & Patchin, J. W. (2009). Bullying Beyond the Schoolyard: Preventing and Responding to Cyberbullying. Thousand Oaks, California: Sage.
Hoekstra, R. A., Bartels, M., Cath, D. C., & Boomsma, D. I. (2008). Factor structure, reliability and criterion validity of the autism-spectrum quotient (AQ): A study in Dutch population and patient groups. Journal of Autism and Developmental Disorders, 38(8), 1555–1566. https://doi.org/10.1007/s10803-008-0538-x
Hoekstra, R. A., Bartels, M., Verweij, C. J., & Boomsma, D. I. (2007). Heritability of autistic traits in the general population. Archives of Pediatrics & Adolescent Medicine, 161(4), 372–377. https://doi.org/10.1001/archpedi.161.4.372
Hurst, R., Nelson-Gray, R., Mitchell, J., & Kwapil, T. (2007). The relationship of Asperger’s characteristics and schizotypal personality traits in a non-clinical adult sample. Journal of Autism and Developmental Disorders, 37(9), 1711–1720. https://doi.org/10.1007/s10803-006-0302-z
Jackson, S. L. J., Hart, L., Brown, J. T., & Volkmar, F. R. (2018). Brief report: Self-reported academic, social, and mental health experiences of post-secondary students with autism spectrum disorder. Journal of Autism and Developmental Disorders, 48(3), 643–650. https://doi.org/10.1007/s10803-017-3315-x
Jiménez, R. (2019). Multiple victimization (bullying and cyberbullying) in primary education in Spain from a gender perspective. Multidisciplinary Journal of Educational Research, 9(2), 169–193. https://doi.org/10.17583/remie.2019.4272
Josey, S. B. (2022). Autistic Traits among Engineers of the Nuclear Industry: Prevalence and Propensities (Unpublished doctoral dissertation). Tarleton State University.
Kowalski, R. M., Toth, A., & Morgan, M. (2018). Bullying and cyberbullying in adulthood and the workplace. The Journal of Social Psychology, 158(1), 64–81. https://doi.org/10.1080/00224545.2017.1302402
Lee, C., & Shin, N. (2017). Prevalence of cyberbullying and predictors of cyberbullying perpetration among Korean adolescents. Computers in Human Behavior, 68(2), 352–358. https://doi.org/10.1016/j.chb.2016.11.047
Lepage, J.-F., Lortie, M., Taschereau-Dumouchel, V., & Théoret, H. (2009). Validation of French-Canadian versions of the Empathy Quotient and Autism Spectrum Quotient. Canadian Journal of Behavioural Science, 41(4), 272–276. https://doi.org/10.1037/a0016248
Li, Q., Smith, P. K., & Cross, D. (2012). Research into cyberbullying. In: Q. Li, D. Cross, & P. K. Smith (Eds.). Cyberbullying in the Global Playground: Research from International Perspectives (pp. 3–12). Wiley Online Library. https://doi.org/10.1002/9781119954484
Lim, A., Brewer, N., & Young, R. L. (2021). Revisiting the relationship between cybercrime, autistic traits, and autism. Journal of Autism and Developmental Disorders, 1(1), 1–12. https://doi.org/10.1007/s10803-021-05207-1
Mishna, F., Cook, C., Gadalla, T., Daciuk, J., & Solomon, S. (2010). Cyber bullying behaviors among middle and high school students. American Journal of Orthopsychiatry, 80(3), 362–374. https://doi.org/10.1111/j.1939-0025.2010.01040.x
Mishna, F., Khoury-Kassabri, M., Gadalla, T., & Daciuk, J. (2012). Risk factors for involvement in cyberbullying: Victims, bullies and bully-victims. Children and Youth Services Review, 34(1), 63–70. https://doi.org/10.1016/J.CHILDYOUTH.2011.08.032
Paez, G. R. (2018). Cyberbullying among adolescents: A general strain theory perspective. Journal of School Violence, 17(1), 74–85. https://doi.org/10.1080/15388220.2 016.1220317
Patchin, J., & Hinduja, S. (2006). Bullies move beyond the school yard: A preliminary look at cyberbullying. Youth Violence and Juvenile Justice, 4(2), 148–169. https://psycnet.apa.org/doi/10.1177/1541204006286288
Pisula, E., Kawa, R., Szostakiewicz, Ł., Łucka, I., Kawa, M., & Rynkiewicz, A. (2013). Autistic traits in male and female students and individuals with high functioning autism spectrum disorders measured by the Polish version of the Autism Spectrum Quotient. PLoS One, 8(9), e75236. https://doi.org/10.1371/journal.pone.0075236
Raskauskas, J., & Stoltz, A. D. (2007). Involvement in traditional and electronic bullying among adolescents. Developmental Psychology, 43(3), 564–575. https://doi.org/10.1037/0012-1649.43.3.564
Richards, G., Baron-Cohen, S., Stokes, H., Warrier, V., Mellor, B., Winspear, E., & Galvin, J. (2020). Assortative mating, autistic traits, empathizing, and systemizing. The Preprint Server for Biology—BioRxiv, 1(1), 1–27. https://doi.org/10.1101/2020.10.28.358895
Richards, G., Baron-Cohen, S., Warrier, V., Mellor, B., Davies, J., Gee, L., & Galvin, J. (2022). Evidence of partner similarity for autistic traits, systemizing, and theory of mind via facial expressions. Scientific Reports, 12(1), 1–15. https://doi.org/10.1038/s41598-022-11592-z
Robertson, A. E., & Simmons, D. R. (2013). The relationship between sensory sensitivity and autistic traits in the general population. Journal of Autism and Developmental Disorders, 43(4), 775–784. https://doi.org/10.1007/s10803-012-1608-7
Roelfsema, M. T., Hoekstra, R. A., Allison, C., Wheelwright, S., Brayne, C., & Matthews, F. E. (2012). Are autism spectrum conditions more prevalent in an information-technology region? A school-based study of three regions in the Netherlands. Journal of Autism and Developmental Disorders, 42(1), 734–739. https://doi.org/10.1007/s10803-011-1302-1
Ruzich, E., Allison, C., Chakrabarti, B., Smith, P., Musto, H., Ring, H., & Baron-Cohen, S. (2015a). Sex and STEM occupation predict Autism-Spectrum Quotient (AQ) scores in half a million people. PLoS One, 10(10), 1–15. https://doi.org/10.1371/journal.pone.0141229
Ruzich, E., Allison, C., Smith, P., Watson, P., Auyeung, B., Ring, H., & Baron-Cohen, S. (2015b). Measuring autistic traits in the general population: A systematic review of the Autism-Spectrum Quotient (AQ) in a nonclinical population sample of 6,900 typical adult males and females. Molecular Autism, 6(1), 1–12. https://doi.org/10.1186/2040-2392-6-2
Schrock, A., & Boyd, D. (2008). Online Threats to Youth: Solicitation, Harassment, and Problematic Content: Literature Review Prepared for the Internet Safety Technical Task Force. http://cyber.law.harvard.edu/sites/cyber.law.harvard.edu/files/RAB_Lit_Review_121808_0.pdf
Ševčíková, A., Macháčková, H., Wright, M. F., Dědková, L., & Černá, A. (2015). Social support seeking in relation to parental attachment and peer relationships among victims of cyberbullying. Journal of Psychologists and Counsellors in Schools, 25(2), 170–182. https://doi.org/10.1017/jgc.2015.1
Shariff, S., & Johnny, L. (2007). Cyber-libel and cyber bullying: Can schools protect student reputations and free expression in virtual environments? McGill Journal of Education, 16(1), 307–342.
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008). Cyberbullying: Its nature and impact on secondary school pupils. Journal of Child Psychology and Psychiatry, 49(1), 376–385. https://doi.org/10.1111/j.1469-7610.2007.01846.x
Tokunaga, R. S. (2010). Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Computers in Human Behavior, 26(1), 277–287. https://doi.org/10.1016/j.chb.2009.11.014
Turner, E., Aitken, E., & Richards, G. (2021). Autistic traits, STEM, and medicine: Autism Spectrum Quotient scores predict medical students’ career specialty preferences. SAGE Open, 11(4), 1–19. https://doi.org/10.1177/21582440211050389
Twyman, K., Saylor, C., Taylor, L. A., & Comeaux, C. (2010). Comparing children and adolescents engaged in cyberbullying to matched peers. Cyberpsychology, Behavior and Social Networking, 13(2), 195–199. https://doi.org/10.1089/cyber.2009.0137
Wakabayashi, A., Baron-Cohen, S., Wheelwright, S., & Tojo, Y. (2006). The AutismSpectrum Quotient (AQ) in Japan: A cross cultural comparison. Journal of Autism and Developmental Disorders, 36(2), 263–270. https://doi.org/10.1007/s10803-005-0061-2
Wei, X., Christiano, E. R. A., Yu, J. W., Blackorby, J., Shattuck, P., & Newman, L. A. (2014). Postsecondary pathways and persistence for STEM and non-STEM majors: Among college students with an autism spectrum disorder. Journal of Autism and Developmental Disorders, 44(5), 1159–1167. https://doi.org/10.1007/s10803-013-1978-5
Wei, X., Yu, J. W., Shattuck, P., & Blackorby, J. (2017). High school math and science preparation and postsecondary STEM participation for students with an autism spectrum disorder. Focus on Autism and Other Developmental Disabilities, 32(2), 83–92. https://doi.org/10.1177/1088357615588489
Wei, X., Yu, J. W., Shattuck, P., McCracken, M., & Blackorby, J. (2013). Science, technology, engineering, and mathematics (STEM) participation among college students with an autism spectrum disorder. Journal of Autism and Developmental Disorders, 43(7), 1539–1546. https://doi.org/10.1007/s10803-012-1700-z
Willard, N. (2004). An Educator’s Guide to Cyberbullying, Cyberthreats and Sexting. https://cdn.ymaws.com/www.safestates.org/resource/resmgr/imported/educatorsguide.pdf
Williams, K., & Guerra, N. (2007). Prevalence and predictors of Internet bullying. Journal of Adolescent Health, 1(1), 14–21. https://doi.org/10.1016/J.JADOHEALTH.2007.08.018
Woodbury-Smith, M. R., Robinson, J., Wheelwright, S., & Baron-Cohen, S. (2005). Screening adults for Asperger syndrome using the AQ: A preliminary study of its diagnostic validity in clinical practice. Journal of Autism and Developmental Disorders, 35(3), 331–335. https://doi.org/10.1007/s10803-005-3300-7
Yao, M., Chelmis, C., & Zois, D. S. (2019). Cyberbullying ends here: Towards robust detection of cyberbullying in social media. In: The World Wide Web Conference (pp. 3427–3433). New York: Association for Computing Machinery. https://doi.org/10.1145/3308558.3313462
Ybarra, M., & Mitchell, J. (2007). Prevalence and frequency of Internet harassment instigation: Implications for adolescent health. Journal of Adolescent Health, 41(1), 189–195. https://doi.org/10.1016/J.JADOHEALTH.2007.03.005
Zalaquett, C. P., & Chatters, S. J. (2014). Cyberbullying in college: Frequency, characteristics, and practical implications. Sage Open, 4(1), 15–22. https://doi.org/10.1177/2158244014526721
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