CoChat
Sign Up
Cited by 71Bullying, Victimization, and AggressionImpact of Technology on AdolescentsHate Speech and Cyberbullying Detection

Cyberbullying among a clinical adolescent sample in Turkey: effects of problematic smartphone use, psychiatric symptoms, and emotion regulation difficulties

Open access
Gül, Hesna, Fırat, Sümeyra, Sertçelik, Mehmet, Gül, Ahmet, Gürel, Yusuf, Kılıç, Birim Günay·2019·Psychiatry and Clinical Psychopharmacology
DOI 10.1080/24750573.2018.1472923
Open this paper in CoChat — free account

Abstract

BACKGROUND: Cyberbullying, has concerned professionals due to increased use of media over time and as predicted, this type of bullying is fairly common among adolescents. We aimed to define the prevalence of cyberbullying and cyber victimization, examine relationships between problematic smartphone (SP) use (PSU), psychiatric symptoms and emotion regulation difficulties in a clinical adolescent sample. Also, we aimed to predict risk factors of being an E-Victim and E-Bully.METHODS: One hundred and fifty adolescents have recruited the study. Demographic Information Form, Problematic Mobile Phone Usage Scale, Brief Symptom Inventory, Difficulties in Emotion Regulation Scale, E-Victimization–E-Bullying Scale were filled out by adolescents.RESULTS: Our results indicated that the prevalence of cybervictimization and cyberbullying were 62.6% and 53.3%, respectively. BEVEB (Both E-Victim and E-Bully) group adolescents were older than NVB (Non-Victim/Bully) groups. Access internet via own SP, PSU, problems in strategies and impulse control and were significantly higher and “lack of awareness” scores were significantly lower in BEVEB group than others. In addition, when compared with OEV (only E-Victims) group, BEVEB group had also higher hostility scores. Logistic regression analysis revealed that high scores of “lack of awareness” and higher E-bullying scores increase the risk of being an E-Victim; and higher scores of hostility and E-victimization and lower scores of “lack of awareness” (in other words being more aware of feelings) increase the risk of being an E-bully.CONCLUSIONS: According to analyses, contrary to our expectations, PSU was important but not an independent predictor of being an E-Victim/E-Bully. Our results also demonstrated an interesting finding: lack of awareness is a risk factor for being an E-victim. We interpreted this result as could not be aware of feelings increase the victimization risk. On the other hand, E-Bullies have higher hostility and victimization while having lower “lack of awareness” scores. It could be speculated that, re-victimization and being aware of hostility feelings could increase the cyberbullying among adolescents. In addition being an E-Bully could be a consequence of being an E-victim and increasing hostility and awareness over time. These results should be re-examined in larger clinical samples.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/24750573.2018.1472923

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Self-determination theory training is effective on cyberbullying in students with internet gaming disorder.

    “یافتـ ـه دیگـ ـر پژوهــش نشــان آمــوزان بــا گــری بــر قلــدری ســایبری در دانش خودتعیین اختـال بـازی اینترنتـی اسـت.”

    From The Effectiveness of Self-Determination Theory Training and Acceptance and Commitment Therapy on Anxiety and Cyberbullying in Students with Internet Gaming Disorder (2022) · cites this paper as [17]

    The study aims on p. 3 concern associations between problematic smartphone use, psychiatric symptoms, emotion regulation, and cyberbullying in a clinical adolescent sample. Its discussion on p. 9 reports associations, not the effectiveness of training. Searches for self-determination theory training and internet gaming disorder found no passage addressing the claimed intervention or population. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 7

  1. [26][26] Wang H, Huang H, Wu H. Relationship between personality and mobile phone addiction: a mediating role of social anxiety. Chin J Clin Psych. 2014;22(3):447 -450. -
  2. [37][37] Ş ahin N, Durak HA. K ı sa semptom envanteri: Türk gençleri için uyarlanmas ı . Türk Psikoloji Dergisi. 1994;9(31):44 -56. -
  3. [40][40] Gençdo ğ an B, Çikrikci Ö. Reliability and validity studies of the Turkish version of the e-bullying scale (e-BS) and e-victimization scale (e-VS)/E-zorbal ı k ölçe ğ i ve e-ma ğ duriyet ölçe ğ inin Türkçe formlar ı n ı n geçerlik ve güvenirlik çal ış malar ı . E ğ itimde Kuram ve Uygulama. 2015;11(1):359 -373. -
  4. [48][48] Dilmac B. Psychological needs as a predictor of cyber bullying: a preliminary report on college students. Educ Sci: Theory Pract. 2009;9(3):1307 -1325. -
  5. [50][50] Baker TÇ, Çapa -Ayd ı n,Y. Examination of cyber bullying experiences among Turkish students from different school types. Cyberpsychol Behav. 2008;11:643 -648. -
  6. [54][54] Riva WB. Online social networking and the experience of cyber-bullying. Annual review of cybertherapy and telemedicine: advanced technologies in the behavioral. Soc Neurosci. 2012;181:212. -
  7. [58][58] Akar ÖM. Examination of high school students ' opinions on cyberbullying in terms of various variables. Educ Admin: Theory Prac. 2011;17(4):605 -626. -

Cited by

Sorted by citations

Related

Authors
Gül, H., Fırat, S., Sertçelik, M., Gül, A., Gürel, Y., & Kılıç, B. G.
Affiliations
  • Gülhane Eğitim ve Araştırma Hastanesi (TR)
  • Department of Child and Adolescent Psychiatry, Şırnak State Hospital, Merkez/Şırnak, Turkey
  • Hitit Üniversitesi (TR)
  • Ufuk University (TR)
  • Ankara University (TR)
Corresponding author
Gül, Hesna
ORCID
Venue
Psychiatry and Clinical Psychopharmacology
Publisher
PCP Academic Media Ltd
Published
2018-05-17
Volume
29
Issue
4
Pages
547-557
ISSN
  • 2475-0573 (ISSN-L)
  • 2475-0581
DOI
10.1080/24750573.2018.1472923
OpenAlex
W2803144996
Cited by
71
References
61
Citations by year
2026: 8 · 2025: 7 · 2024: 6 · 2023: 8 · 2022: 15 · 2021: 11 · 2020: 12 · 2019: 4
FWCI
9.14
Type
journal article
Language
en
Open access
Licence
Locations
  • Psychiatry and Clinical Psychopharmacology (publishedVersion, cc-by)
  • Psychiatry and Clinical Psychopharmacology (publishedVersion, cc-by-nc)
  • Hitit University Institutional Repository (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
Keywords
cyberbullying, cyber victimization, smartphone addiction, emotional dysregulation, psychiatric symptoms, adolescents, hostility, lack of awareness, risk factors, clinical adolescents, prevalence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review