Characterizing Cyberbullying among College Students: Hacking, Dirty Laundry, and Mocking
Bullying behaviors occur across the lifespan and have increasingly migrated to online platforms where they are known as cyberbullying. The purpose of this study was to explore the phenomenon of cyberbullying among college students. Participants were recruited for focus groups through purposeful samp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-10-01
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| Series: | Societies |
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| Online Access: | http://www.mdpi.com/2075-4698/4/4/549 |
| _version_ | 1818259692106809344 |
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| author | Rajitha Kota Shari Schoohs Meghan Benson Megan A. Moreno |
| author_facet | Rajitha Kota Shari Schoohs Meghan Benson Megan A. Moreno |
| author_sort | Rajitha Kota |
| collection | DOAJ |
| description | Bullying behaviors occur across the lifespan and have increasingly migrated to online platforms where they are known as cyberbullying. The purpose of this study was to explore the phenomenon of cyberbullying among college students. Participants were recruited for focus groups through purposeful sampling, including recruitment from groups traditionally at risk for bullying. Focus groups discussed views and perceptions of cyberbullying on campuses. Groups were led by a trained facilitator and were audio recorded and manually transcribed. The constant comparative approach was used to identify themes and representative quotations. The 42 participants had an average age of 19.2 (SD = 1.2), 55% were female, 83% were Caucasian. Three themes emerged from the data: (1) lack of agreement on a definition of cyberbullying, but consensus on three representative scenarios: hacking, dirty laundry and mocking; (2) concerns with translating definitions of traditional bullying to cyberbullying; (3) opinions that cyberbullying may manifest differently in college compared to younger adolescents, including increased potential for long-term effects. College students were not in agreement about a theoretical definition, but they could agree upon specific representative instances of cyberbullying. Future studies could consider using common case examples or vignettes of cyberbullying, or creation of developmentally representative definitions by age group. |
| first_indexed | 2024-12-12T18:19:28Z |
| format | Article |
| id | doaj.art-6ffec72e63e845d692a642b1fa80c9ab |
| institution | Directory Open Access Journal |
| issn | 2075-4698 |
| language | English |
| last_indexed | 2024-12-12T18:19:28Z |
| publishDate | 2014-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Societies |
| spelling | doaj.art-6ffec72e63e845d692a642b1fa80c9ab2022-12-22T00:16:10ZengMDPI AGSocieties2075-46982014-10-014454956010.3390/soc4040549soc4040549Characterizing Cyberbullying among College Students: Hacking, Dirty Laundry, and MockingRajitha Kota0Shari Schoohs1Meghan Benson2Megan A. Moreno3Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, USADepartment of Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, USAPlanned Parenthood of Wisconsin, Madison, WI 53713, USACenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA 98121, USABullying behaviors occur across the lifespan and have increasingly migrated to online platforms where they are known as cyberbullying. The purpose of this study was to explore the phenomenon of cyberbullying among college students. Participants were recruited for focus groups through purposeful sampling, including recruitment from groups traditionally at risk for bullying. Focus groups discussed views and perceptions of cyberbullying on campuses. Groups were led by a trained facilitator and were audio recorded and manually transcribed. The constant comparative approach was used to identify themes and representative quotations. The 42 participants had an average age of 19.2 (SD = 1.2), 55% were female, 83% were Caucasian. Three themes emerged from the data: (1) lack of agreement on a definition of cyberbullying, but consensus on three representative scenarios: hacking, dirty laundry and mocking; (2) concerns with translating definitions of traditional bullying to cyberbullying; (3) opinions that cyberbullying may manifest differently in college compared to younger adolescents, including increased potential for long-term effects. College students were not in agreement about a theoretical definition, but they could agree upon specific representative instances of cyberbullying. Future studies could consider using common case examples or vignettes of cyberbullying, or creation of developmentally representative definitions by age group.http://www.mdpi.com/2075-4698/4/4/549college studentbullyingcyberbullyinginternetfocus groupFacebooksocial mediaonline safetyyoung adultLGBTQ |
| spellingShingle | Rajitha Kota Shari Schoohs Meghan Benson Megan A. Moreno Characterizing Cyberbullying among College Students: Hacking, Dirty Laundry, and Mocking Societies college student bullying cyberbullying internet focus group social media online safety young adult LGBTQ |
| title | Characterizing Cyberbullying among College Students: Hacking, Dirty Laundry, and Mocking |
| title_full | Characterizing Cyberbullying among College Students: Hacking, Dirty Laundry, and Mocking |
| title_fullStr | Characterizing Cyberbullying among College Students: Hacking, Dirty Laundry, and Mocking |
| title_full_unstemmed | Characterizing Cyberbullying among College Students: Hacking, Dirty Laundry, and Mocking |
| title_short | Characterizing Cyberbullying among College Students: Hacking, Dirty Laundry, and Mocking |
| title_sort | characterizing cyberbullying among college students hacking dirty laundry and mocking |
| topic | college student bullying cyberbullying internet focus group social media online safety young adult LGBTQ |
| url | http://www.mdpi.com/2075-4698/4/4/549 |
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