Journals / Anatolian Current Medical Journal / 2026 / Volume: 8 Issue: 5

Qualitative and sentiment analysis of YouTube news comments on juveniles involved in crime following school attacks in Turkiye: the cases of Şanlıurfa and Kahramanmaraş

Mehtap Genç(Karamanoğlu Mehmetbey Üniversitesi)0000-0002-6420-9327
Emre Çiydem(ISTANBUL UNIVERSITY)0000-0002-2886-6848
Pages
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Publication Date
2026-09-11
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Interventions aimed at improving mental health literacy, reducing stigma, strengthening school-based mental health services, and enhancing media literacy may contribute to more balanced public perceptions of juvenile delinquency and mental disorders.

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Objective & Hypothesis:Aims: To examine YouTube news comments related to juveniles involved in crime following school attacks in Şanlıurfa and Kahramanmaraş through thematic and sentiment analyses.
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Key Findings & Data:Methods: This qualitative study analyzed 2.930 publicly accessible user comments posted under YouTube news videos concerning two school attacks in Şanlıurfa and Kahramanmaraş.
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Conclusion & Impact:Interventions aimed at improving mental health literacy, reducing stigma, strengthening school-based mental health services, and enhancing media literacy may contribute to more balanced public perceptions of juvenile delinquency and mental disorders.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Juveniles involved in crime · school attacks · YouTube comments

Abstract

Aims: To examine YouTube news comments related to juveniles involved in crime following school attacks in Şanlıurfa and Kahramanmaraş through thematic and sentiment analyses. Methods: This qualitative study analyzed 2.930 publicly accessible user comments posted under YouTube news videos concerning two school attacks in Şanlıurfa and Kahramanmaraş. The data were examined through thematic analysis and manual sentiment analysis. Results: Eight themes were identified: attribution of crime to the family, media and digital games as a source of violence; distrust toward the state and demand for school safety; fear of crime; concern about imitation and loss of safe space; punitive attitudes and dehumanization; mental illness and psychosocial explanations; religious and conspiratorial framing; and emotional reactions toward the victim and solidarity. Sentiment analysis revealed that neutral and anger-related comments predominated in both cases. In the comments concerning the Şanlıurfa incident, neutral (52.9%) and anger (33.3%) emotions were most prominent, whereas neutral (45.6%) and anger (40.1%) emotions were more frequent in the comments concerning the Kahramanmaraş incident. Family blaming, demands for harsher punishment, dehumanization of offenders, distrust toward institutions, fear of crime, and concerns about school safety were common. Conclusion: Online public reactions to juveniles involved in crime were largely characterized by anger, fear, blame attribution, and punitive attitudes. However, these reactions coexisted with strong expressions of empathy and solidarity toward victims. Interventions aimed at improving mental health literacy, reducing stigma, strengthening school-based mental health services, and enhancing media literacy may contribute to more balanced public perceptions of juvenile delinquency and mental disorders.

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Cite This Article

Genç, M., Çiydem, E. (2026). Qualitative and sentiment analysis of YouTube news comments on juveniles involved in crime following school attacks in Turkiye: the cases of Şanlıurfa and Kahramanmaraş. Anatolian Current Medical Journal, Volume: 8 Issue: 5. https://doi.org/10.38053/acmj.1975135

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References (42)

  1. Galea S. Guns, obesity, and opioids: a population health science perspective on 3 contemporary epidemics. Milbank Q. 2018;96(3):421-425. doi:10.1111/1468-0009.12335
  2. Aslan T, Ulağlı S. Yeni bir kamusal alan olarak sosyal medya ve Ahmet Minguzzi davasına yönelik bir söylem analizi örneği. Middle Black Sea J Commun Stud. 2025;10(2):150-167. doi:10.56202/mbsjcs.1809530
  3. Erbekir B. Sosyal medyada çocuk suçluluğunda kimlik inşası: X platformu üzerine bir inceleme. Uluslararası Medya ve İletişim Araştırmaları Hakemli Derg. 2025;8(2):445-463. doi:10.33464/mediaj.1763087
  4. Schildkraut J, Elsass HJ, Stafford MC. Could it happen here? Moral panic, school shootings, and fear of crime among college students. Crime Law Soc Change. 2015;63(1-2):91-110. doi:10.1007/s10611-015-9552-z
  5. El Attar AA, Abdo MS. Allocution, sentencing, and viewers' comments in YouTube-mediated trials of convicted young murderers: an appraisal-sentiment analysis. Lang Semiot Stud. 2025;11(4):636-660. doi:10.1515/lass-2025-0050
  6. Akar A. A qualitative analysis of Turkish X posts about late adulthood: an interpretative phenomenological study. Int J Sports Technol Sci. 2025; 3(2):225-238.
  7. Akar A. Artificial Intelligence-based sentiment analysis and qualitative analysis of Turkish X posts about Down syndrome. Psikiyatride Güncel Yaklaşımlar. 2025;17(suppl 1):35-46. doi:10.18863/pgy.1645133
  8. Nematy A, Flynn S, McCarthy-Jones S. YouTube commenters' discourse of paedophilia: a qualitative social media analysis. Sex Cult. 2024; 28(1):71-95. doi:10.1007/s12119-023-10117-8
  9. Revier K. The “worst of the worst”: punitive justice frames in criminal sentencing clips on YouTube. Contemp Justice Rev. 2021;24(4):436-456. doi:10.1080/10282580.2021.1981135
  10. Sotelo M, Santos MR, Grosholz J, Cecil DK. Public perceptions as a potential barrier for prison reform in Panama: an analysis of user comments on YouTube. Int J Comp Appl Crim Justice. 2024;48(4):285-303. doi:10.1080/01924036.2023.2173263
  11. Cohen S. Folk Devils and Moral Panics. 3rd ed. Routledge; 2011.
  12. Haslam N. Dehumanization: an integrative review. Pers Soc Psychol Rev. 2006;10(3):252-264. doi:10.1207/s15327957pspr1003_4
  13. Thapa A. Sentiment Analysis on Juvenile Delinquency Using BERT Embeddings [master's thesis]. National College of Ireland; 2023.
  14. Muthasima R, Sumpeno S, Suprapto YK. Twitter sentiment analysis of juvenile behavior deviations using LSA (latent semantic analysis). J Phys Conf Ser. 2019;1201:012026. doi:10.1088/1742-6596/1201/1/012026
  15. Ciydem E, Avci D. Psychometric properties of the Turkish version of the universal mental health literacy scale for adolescents. J Pediatr Nurs. 2024;79:e186-e191. doi:10.1016/j.pedn.2024.10.020
  16. Raphel S, Galehouse P, Kameg B, Taylor D. Mind over stigma: position statement of the International Society for Psychiatric Mental Health Nurses. Arch Psychiatr Nurs. 2025;57:151926. doi:10.1016/j.apnu.2025.151926
  17. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349-357. doi:10.1093/intqhc/mzm042
  18. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77-101. doi:10.1191/1478088706qp063oa
  19. Colorafi KJ, Evans B. Qualitative descriptive methods in health science research. HERD. 2016;9(4):16-25. doi:10.1177/1937586715614171
  20. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-174. doi:10.2307/2529310
  21. Lincoln YS, Guba EG. Naturalistic Inquiry. Sage Publications; 1985.
  22. Budenz A, Klassen A, Purtle J, Yom Tov E, Yudell M, Massey P. Mental illness and bipolar disorder on Twitter: Implications for stigma and social support. J Ment Health. 2020;29(2):191-199. doi:10.1080/09638237.2019.1677878
  23. Cho H, Kim KM, Kim JY, Youn BY. Twitter discussions on digitaldementia: content and sentiment analysis. J Med Internet Res. 2024;26:e59546. doi:10.2196/59546
  24. Dikeç G, Oban V, Usta MB. Şizofreniye yönelik Türkçe Twitter iletilerin nitel ve yapay zekâ temelli duygu çözümlemesi. Turk Psikiyatri Derg. 2023;34(3):145-153. doi:10.5080/u26402
  25. Doğan MB, Oban V, Dikeç G. Qualitative and Artificial Intelligence-based sentiment analyses of anti-LGBTI+ hate speech on Twitter in Turkey. Issues Ment Health Nurs. 2023;44(2):112-120. doi:10.1080/01612840.2022.2158407
  26. Göksel P, Oban V, Dikeç G, Usta MB. Qualitative and Artificial Intelligence-based sentiment analysis of Turkish Twitter messages related to Autism Spectrum Disorders. Cureus. 2023;15(5):e38446. doi:10.7759/cureus.38446
  27. Pavlova A, Berkers P. “Mental Health” as defined by Twitter: frames, emotions, stigma. Health Commun. 2022;37(5):637-647. doi:10.1080/10410236.2020.1862396
  28. Deakin J, Fox C, Matos R. Labelled as “risky” in an era of control: how young people experience and respond to the stigma of criminalized identities. Eur J Criminol. 2022;19(4):653-673. doi:10.1177/1477370820916728
  29. Pescosolido BA, Halpern-Manners A, Luo L, Perry B. Trends in public stigma of mental illness in the US, 1996-2018. JAMA Netw Open. 2021; 4(12):e2140202. doi:10.1001/jamanetworkopen.2021.40202
  30. Melendez MS, Lichtenstein B, Dolliver MJ. Mothers of mass murderers: exploring public blame for the mothers of school shooters through an application of courtesy stigma to the Columbine and Newtown tragedies. Deviant Behav. 2016;37(5):525-536. doi:10.1080/01639625.2015.1060754
  31. McGrath A. Offenders' perceptions of the sentencing process: a study of deterrence and stigmatization in the New South Wales Children's Court. Aust N Z J Criminol. 2009;42(1):24-46. doi:10.1375/acri.42.1.24
  32. Pyle N, Flower A, Williams J, Fall AM. Social risk factors for institutionalized juvenile offenders: a systematic review. Adolesc Res Rev. 2020;5(2):173-186. doi:10.1007/s40894-019-00120-2
  33. Aazami A, Valek R, Ponce AN, Zare H. Risk and protective factors and interventions for reducing juvenile delinquency: a systematic review. Soc Sci. 2023;12(9):474. doi:10.3390/socsci12090474
  34. Çolpan Erkan N, Sevin Topçu B. Gender-based differences in fear of crime in public spaces: an investigation of a safe district in İstanbul. Urbani Izziv. 2021;32(2):87-97. doi:10.5379/urbani-izziv-en-2021-32-02-02
  35. Cinoglu H, Odabasi M. Fear of crime in small towns: the case of Elazig in Turkey. Eur Sci J. 2023;19(23):1-24. doi:10.19044/esj.2023.v19n23p1
  36. Xie M, Ortiz Solis V, Chauhan P. Declining trends in crime reporting and victims' trust of police in the United States and major metropolitan areas in the 21st century. J Contemp Crim Justice. 2024;40(1):138-171. doi:10.1177/10439862231190212
  37. Hulmáková J, Tomášek J, Krulichová E. Public opinion on the minimum age of criminal responsibility: the role of cognition and emotions. Int Crim Justice Rev. 2025;35(3):330-347. doi:10.1177/10575677241282285
  38. Berryessa CM. The role of moral panic in motivating public support for punitive drug sentencing. Contemp Drug Probl. 2025;52(4):427-449. doi:10.1177/00914509251326114
  39. Côté-Lussier C, David JD. The role of intuition in expressing support for harsh criminal justice policy. Int Criminol. 2023;3(4):340-354. doi:10.1007/s43576-023-00106-0
  40. Stevenson MC, Malik SE, Totton RR, Reeves RD. Disgust sensitivity predicts punitive treatment of juvenile sex offenders: the role of empathy, dehumanization, and fear. Anal Soc Issues Public Policy. 2015;15(1):177-197. doi:10.1111/asap.12068
  41. Silva C, Guedes I. The role of the media in the fear of crime: a qualitative study in the Portuguese context. Crim Justice Rev. 2023;48(3):300-317. doi:10.1177/07340168221088570
  42. Bosma AK, Mulder E, Pemberton A, Vingerhoets AJ. Observer reactions to emotional victims of serious crimes: stereotypes and expectancy violations. Psychol Crime Law. 2018;24(9):957-977. doi:10.1080/1068316X.2018.1467910