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Çevrimiçi Kumar Üzerine Haritalama Araştırması: Bibliyometrik Bir Analiz

Year 2025, Volume: 26 Issue: 4, 510 - 523

Muhammed Akat

https://doi.org/10.51982/bagimli.1675447

Abstract

Bu çalışma, çevrimiçi kumar üzerine yapılan çalışmaların bibliyometrik analizini yapmayı amaçlamıştır. 1998 ile 2024 yılları arasında çevrimiçi kumar üzerine yapılan tüm yayınları elde etmek için Web of Science Core veri tabanı kullanılmıştır. Bibliyometrik analiz, 2025 yılı henüz devam ettiği ve bu yıla ait tüm literatüre henüz erişilemediği için 2024 yılına kadar yayımlanmış çalışmalarla sınırlandırılmıştır. Bibliyometrik analiz VOSviewer programı kullanılarak gerçekleştirilmiştir. Çalışma, başlangıçta çevrimiçi kumar alanındaki çalışma sayısının birkaç istisna dışında 1998'den 2024'e genel bir artış gösterdiğini belirlemiştir. Ortak yazarlık analizi, İngiltere'nin bu çalışma alanında en üretken ülke olduğunu göstermektedir. Daha sonra, Avustralya, Kanada, Amerika Birleşik Devletleri ve İspanya üretkenlik açısından azalan sıradadır. Analiz, Nerilee Hing'in çevrimiçi kumar alanında en etkili araştırmacı olduğu sonucuna varmıştır. Eş-oluşum analizinin sonuçları, en sık kullanılan anahtar kelimelerin "kumar", "çevrimiçi kumar", "problemli kumar", "sorumlu kumar", "bağımlılık", "COVID-19" ve "ergen" ile ilgili olduğunu göstermiştir. Bu çalışmanın bulguları, online kumar bağımlılığının yıllara göre artış gösterdiğini ve farklı kültürlerde incelendiğini göstermektedir.

Keywords

Kumar bağımlılığı online kumar online kumar bağımlılığı bibliometrik analiz

Ethical Statement

Bu çalışma için ilgili Etik Kurul onayına gerek yoktur.

References

  • Murphy MP, Murphy R, Roberts A. Correlates of problematic gambling in emerging adult university students in Ireland. J Gambl Stud 2024; 40(4): 1987–2004
  • American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 3rd ed. (DSM-III). Washington: American Psychiatric Association, 1980
  • Rosenthal RJ. Inclusion of pathological gambling in DSM-III, its classification as a disorder of impulse control, and the role of Robert Custer. Int Gambl Stud 2020; 20(1): 151–170.
  • American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 4th ed. (DSM-IV). Washington: American Psychiatric Association, 1994
  • American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. (DSM-5). Washington: American Psychiatric Association, 2013
  • Yalcın RÜ. Research on gambling in young people: A co-occurrence analysis. J Gambl Stud 2023; 39(2): 531–539.
  • Johnson RH, Pitt H, Randle M, Thomas SL. A critical qualitative inquiry of the social practices of older adult gamblers: implications for public health risk prevention. Ageing Soc 2024; 44(9): 1993-2014.
  • Lai DW. Gambling and the older Chinese in Canada. J Gambl Stud 2006; 22(1):121–141.
  • Calado F, Alexandre J, Griffiths MD. Prevalence of adolescent problem gambling: a systematic review of recent research. J Gambl Stud 2017; 33(2):397–424.
  • Welte JW, Barnes GM, Tidwell MCO, Hoffman JH. The prevalence of problem gambling among U.S. adolescents and young adults: results from a national survey. J Gambl Stud 2008; 24(2): 119–133.
  • Kim HS, King DL. Gambling-gaming convergence: new developments and future directions. Int Gambl Stud 2020; 20(3): 373–379.
  • Lelonek-Kuleta B, Bartczuk RP. Online gambling activity, pay-to-win payments, motivation to gamble and coping strategies as predictors of gambling disorder among e-sports bettors. J Gambl Stud 2021; 37(2): 1079–1098.
  • Serna C, Garcia-Perales J, Martinez I. Protective and risk parenting styles for Internet and online gambling addiction. Hum Behav Emerg Technol 2023.
  • Gainsbury S, Wood R, Russell A, et al. A digital revolution: comparison of demographic profiles, attitudes and gambling behavior of Internet and non-Internet gamblers. Comput Human Behav 2012; 28(4): 1388–1398
  • Chóliz M, Marcos M, Lázaro-Mateo J. The risk of online gambling: a study of gambling disorder prevalence rates in Spain. Int J Ment Health Addict 2021; 19: 404–417.
  • Kalkan B, Griffiths MD. The psychometric properties of the Online Gambling Symptom Assessment Scale (OGSAS). Int J Ment Health Addict 2021; 19: 303–313.
  • Petry NM, Gonzalez-Ibanez A. Internet gambling in problem gambling college students. J Gambl Stud 2015; 31(2): 397–408.
  • Wood RT, Williams RJ. Problem gambling on the internet: implications for internet gambling policy in North America. New Media Soc 2007; 9(3): 520–542.
  • Blaszczynski A, Nower L. A pathways model of problem and pathological gambling. Addiction 2002; 97(5): 487–499.
  • Canale N, Griffiths MD, Vieno A, et al. Impact of Internet gambling on problem gambling among adolescents in Italy: findings from a large-scale nationally representative survey. Comput Human Behav 2016; 57: 99–106.
  • Gómez P, Feijóo S, Braña T, et al. Minors and online gambling: prevalence and related variables. J Gambl Stud 2020; 36(3): 735–745.
  • Griffiths M, Wardle H, Orford J, et al. Sociodemographic correlates of internet gambling: findings from the 2007 British Gambling Prevalence Survey. Cyberpsychol Behav 2009; 12(2): 199–202.
  • Sauvaget A, Jiménez-Murcia S, Fernández-Aranda F, et al. Unexpected online gambling disorder in late-life: a case report. Front Psychol 2015; 6: 655.
  • Griffiths M, Wardle H, Orford J, et al. Internet gambling, health, smoking and alcohol use: findings from the 2007 British Gambling Prevalence Survey. Int J Ment Health Addict 2011; 9: 1–11.
  • Scholes-Balog KE, Hemphill SA. Relationships between online gambling, mental health, and substance use: a review. Cyberpsychol Behav Soc Netw 2012; 15(12): 688–692.
  • Papineau E, Lacroix G, Sévigny S, et al. Assessing the differential impacts of online, mixed, and offline gambling. Int Gambl Stud 2017; 18(1): 69–91.
  • Amoah-Nuamah J, Agyemang-Duah W, Mensah B, et al. University students’ reasons and attitudes towards online gambling and its implication on their lives. J Gambl Stud. 2023; 39(1): 203–224.
  • Currie SR, Hodgins DC, Casey DM. Validity of the Problem Gambling Severity Index interpretive categories. J Gambl Stud 2013; 29(2): 311–327.
  • Salonen AH, Hellman M, Latvala T, Castrén S. Gambling participation, gambling habits, gambling-related harm, and opinions on gambling advertising in Finland in 2016. Nord Stud Alcohol Drugs 2018; 35(3): 215–234.
  • Akcayir M, Nicoll F, Baxter DG. Patterns of disciplinary involvement and academic collaboration in gambling research: a co-citation analysis. Crit Gambl Stud 2021; 2(1): 21–28.
  • İli B. Çevrimiçi kumarın sosyal medyada tehlikeli yükselişi: youtube videoları üzerine bir inceleme. Gümüşhane Üniversitesi İletişim Fakültesi Elektronik Dergisi 2024; 12(2): 793-815.
  • Öztürkmen M. Yetişkin Bireylerin Çevrimiçi Kumar Bağımlılığının Dürtüsellik Ile Ilişkisi. [Yüksek lisans tezi]. İstanbul: İstanbul Gelişim Üniversitesi Lisansüstü Eğitim Enstitüsü Psikoloji Anabilim Dalı Bağımlılık Psikolojisi Bilim Dalı, 2023.
  • Karaibrahimoğlu A, Kişioğlu AN, Çoban B, et al. Validity and reliability study of Online Gambling Addiction Scale (OGAS). Addicta 2021; 8(3): 186–193.
  • Çakmak S, Tamam L Kumar oynama bozukluğu: genel bir bakış. Bağımlılık Dergisi 2018; 19(3): 78-97.
  • Kaya FŞ, Başkan A. Kumar oynama motivasyonunun iç-dış kontrol odağı ile ilişkisi. Bağımlılık Dergisi 2020; 21(3): 210-222.
  • Van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010;84(3):523-538.
  • Avelar ABA, da Silva-Oliveira KD, da Silva Pereira R. Education for advancing the implementation of the Sustainable Development Goals: a systematic approach. International Journal of Management Education 2019; 17(3): 100322.
  • Albort-Morant G, Henseler J, Leal-Millán A, Cepeda-Carrión G. Mapping the field: a bibliometric analysis of green innovation. Sustainability 2017; 9: 1011.
  • Block JH, Fisch C. Eight tips and questions for your bibliographic study in business and management research. Manag Rev Q 2020; 70(3): 307–312.
  • Uddin S, Hossain L, Abbasi A, Rasmussen K. Trend and efficiency analysis of co-authorship network. Scientometrics 2012; 90(2): 687–699.
  • Ersen N, Akyüz İ, Akyüz KC. Bibliometric analysis of the international journal in wood science using visualization mapping method. Eurasian Journal of Forest Science 2024; 12(2): 47-65.
  • Öztürk N, Kurutkan MN. Kalite yönetiminin bibliyometrik analiz yöntemi ile incelenmesi. Journal of Innovative Healthcare Practices 2020; 1(1): 1-13.
  • Lawn S, Oster C, Riley B, et al. Literature review and gap analysis of emerging technologies and new trends in gambling. Int J Environ Res Public Health 2020; 17: 744.
  • Stehmann J. Identifying research streams in online gambling and gaming literature: a bibliometric analysis. Comput Human Behav 2020; 107: 106219.
  • Ladouceur R, Shaffer P, Blaszczynski A, Shaffer HJ. Responsible gambling: a synthesis of the empirical evidence. Addict Res Theory 2016; 25(3): 225–235.
  • Livingstone C, Rintoul A. Moving on from responsible gambling: a new discourse is needed to prevent and minimise harm from gambling. Public Health 2020; 184: 107–112.
  • Blaszczynski A, Shaffer HJ, Ladouceur R, et al. Clarifying responsible gambling and its concept of responsibility. Int J Ment Health Addict. 2022; 20(3): 1398–1404.
  • van Schalkwyk MCI, Petticrew M, Cassidy R, et al. A public health approach to gambling regulation: countering powerful influences. Lancet Public Health. 2021; 6(8): e614–e619.
  • Karaibrahimoğlu A, Kişioğlu AN, Çoban B, et al. Validity and reliability study of Online Gambling Addiction Scale (OGAS). Addicta 2021; 8(3): 186–193.
  • Zhong G, Du J, Zhao M. Understanding and addressing the challenges of online gambling addiction in mainland China. Gen Psychiatr 2024; 37(2): e101477.
  • Popescu AM, Balica RȘ, Lazăr E, et al. Smartphone addiction risk, technology-related behaviors and attitudes, and psychological well-being during the COVID-19 pandemic. Front Psychol 2022; 13: 997253
  • Serra G, Lo Scalzo L, Giuffrè M, et al. Smartphone use and addiction during the coronavirus disease 2019 (COVID-19) pandemic: cohort study on 184 Italian children and adolescents. Ital J Pediatr 2021; 47(1): 150.
  • Li YY, Sun Y, Meng SQ, et al. Internet addiction increases in the general population during COVID-19: evidence from China. Am J Addict 2021; 30(4): 389–397.
  • Putra PY, Fithriyah I, Zahra Z. Internet addiction and online gaming disorder in children and adolescents during COVID-19 pandemic: a systematic review. Psychiatry Investig 2023; 20(3): 196–204.
  • Montiel I, Ortega-Barón J, Basterra-González A, et al. Problematic online gambling among adolescents: a systematic review about prevalence and related measurement issues. J Behav Addict 2021; 10(3): 566–586.
  • Olason DT, Kristjansdottir E, Einarsdottir H, et al. Internet gambling and problem gambling among 13 to 18 year old adolescents in Iceland. Int J Ment Health Addict 2011; 9: 257–263.
  • Tsitsika A, Critselis E, Janikian M, et al. Association between internet gambling and problematic internet use among adolescents. J Gambl Stud 2011; 27(3): 389–400.
  • Lee J, Sung MJ, Song SH, et al. Psychological factors associated with smartphone addiction in South Korean adolescents. J Early Adolesc 2018; 38(3): 288–302.
  • Xin M, Xing J, Pengfei W, et al. Online activities, prevalence of internet addiction and risk factors related to family and school among adolescents in China. Addict Behav Rep 2018; 7: 14–18.
  • National Centre for Social Research. (2025). Gambling Survey for Great Britain (GSGB). Gambling Commission. https://www.gamblingcommission.gov.uk/about-us/statistics-and-research/gambling-survey
  • van Schalkwyk MC, Maani N, McKee M, et al. "When the Fun Stops, Stop": An analysis of the provenance, framing and evidence of a 'responsible gambling' campaign. PLoS One. 2021; 16(8): e0255145.
  • Marionneau V. Gambling in Russia: policies, markets, and research. International Journal of Russian Studies 2020; 9(2): 122–134.
  • Statista. Average daily internet usage time in Turkey in 3rd quarter 2023, by device. https://www.statista.com/statistics/1291409/daily-internet-usage-in-turkey-by-device/#:~:text=Average%20daily%20internet%20usage%20in%20Turkey%20Q3%202023%2C%20by%20device&text=The%20average%20time%20spent%20on,internet%20using%20computers%20and%20tablets.

Mapping Research on Online Gambling: A Bibliometric Analysis

Year 2025, Volume: 26 Issue: 4, 510 - 523

Muhammed Akat

https://doi.org/10.51982/bagimli.1675447

Abstract

This study aimed to conduct a bibliometric analysis of studies on online gambling. Web of Science Core database was used to obtain all publications on online gambling between 1998 and 2024. The bibliometric analysis was confined to studies published up to 2024, given that 2025 is still in progress and the complete body of literature for that year is not yet accessible. The bibliometric analysis was conducted using the VOSviewer program. The study initially determined that the number of studies in the domain of online gambling exhibited an overall increase from 1998 to 2024, with a few exceptions. A co-authorship analysis indicates that England is the most prolific nation in this field of study. Subsequently, Australia, Canada, the United States of America, and Spain are in descending order of productivity. The analysis yielded the conclusion that Nerilee Hing is the most influential researcher in the field of online gambling. The results of the co-occurrence analysis indicated that the most frequently used keywords were related to "gambling", "online gambling", "problem gambling", "responsible gambling", "addiction", "COVID-19", and "adolescent". In this study, it was concluded that research on online gambling addiction has increased over the years and that online gambling addiction has been emphasized in different cultures.

Keywords

Gambling addiction online gambling online gambling addiction bibliometric analysis

Ethical Statement

Ethical approval was not required for this study.

References

  • Murphy MP, Murphy R, Roberts A. Correlates of problematic gambling in emerging adult university students in Ireland. J Gambl Stud 2024; 40(4): 1987–2004
  • American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 3rd ed. (DSM-III). Washington: American Psychiatric Association, 1980
  • Rosenthal RJ. Inclusion of pathological gambling in DSM-III, its classification as a disorder of impulse control, and the role of Robert Custer. Int Gambl Stud 2020; 20(1): 151–170.
  • American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 4th ed. (DSM-IV). Washington: American Psychiatric Association, 1994
  • American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. (DSM-5). Washington: American Psychiatric Association, 2013
  • Yalcın RÜ. Research on gambling in young people: A co-occurrence analysis. J Gambl Stud 2023; 39(2): 531–539.
  • Johnson RH, Pitt H, Randle M, Thomas SL. A critical qualitative inquiry of the social practices of older adult gamblers: implications for public health risk prevention. Ageing Soc 2024; 44(9): 1993-2014.
  • Lai DW. Gambling and the older Chinese in Canada. J Gambl Stud 2006; 22(1):121–141.
  • Calado F, Alexandre J, Griffiths MD. Prevalence of adolescent problem gambling: a systematic review of recent research. J Gambl Stud 2017; 33(2):397–424.
  • Welte JW, Barnes GM, Tidwell MCO, Hoffman JH. The prevalence of problem gambling among U.S. adolescents and young adults: results from a national survey. J Gambl Stud 2008; 24(2): 119–133.
  • Kim HS, King DL. Gambling-gaming convergence: new developments and future directions. Int Gambl Stud 2020; 20(3): 373–379.
  • Lelonek-Kuleta B, Bartczuk RP. Online gambling activity, pay-to-win payments, motivation to gamble and coping strategies as predictors of gambling disorder among e-sports bettors. J Gambl Stud 2021; 37(2): 1079–1098.
  • Serna C, Garcia-Perales J, Martinez I. Protective and risk parenting styles for Internet and online gambling addiction. Hum Behav Emerg Technol 2023.
  • Gainsbury S, Wood R, Russell A, et al. A digital revolution: comparison of demographic profiles, attitudes and gambling behavior of Internet and non-Internet gamblers. Comput Human Behav 2012; 28(4): 1388–1398
  • Chóliz M, Marcos M, Lázaro-Mateo J. The risk of online gambling: a study of gambling disorder prevalence rates in Spain. Int J Ment Health Addict 2021; 19: 404–417.
  • Kalkan B, Griffiths MD. The psychometric properties of the Online Gambling Symptom Assessment Scale (OGSAS). Int J Ment Health Addict 2021; 19: 303–313.
  • Petry NM, Gonzalez-Ibanez A. Internet gambling in problem gambling college students. J Gambl Stud 2015; 31(2): 397–408.
  • Wood RT, Williams RJ. Problem gambling on the internet: implications for internet gambling policy in North America. New Media Soc 2007; 9(3): 520–542.
  • Blaszczynski A, Nower L. A pathways model of problem and pathological gambling. Addiction 2002; 97(5): 487–499.
  • Canale N, Griffiths MD, Vieno A, et al. Impact of Internet gambling on problem gambling among adolescents in Italy: findings from a large-scale nationally representative survey. Comput Human Behav 2016; 57: 99–106.
  • Gómez P, Feijóo S, Braña T, et al. Minors and online gambling: prevalence and related variables. J Gambl Stud 2020; 36(3): 735–745.
  • Griffiths M, Wardle H, Orford J, et al. Sociodemographic correlates of internet gambling: findings from the 2007 British Gambling Prevalence Survey. Cyberpsychol Behav 2009; 12(2): 199–202.
  • Sauvaget A, Jiménez-Murcia S, Fernández-Aranda F, et al. Unexpected online gambling disorder in late-life: a case report. Front Psychol 2015; 6: 655.
  • Griffiths M, Wardle H, Orford J, et al. Internet gambling, health, smoking and alcohol use: findings from the 2007 British Gambling Prevalence Survey. Int J Ment Health Addict 2011; 9: 1–11.
  • Scholes-Balog KE, Hemphill SA. Relationships between online gambling, mental health, and substance use: a review. Cyberpsychol Behav Soc Netw 2012; 15(12): 688–692.
  • Papineau E, Lacroix G, Sévigny S, et al. Assessing the differential impacts of online, mixed, and offline gambling. Int Gambl Stud 2017; 18(1): 69–91.
  • Amoah-Nuamah J, Agyemang-Duah W, Mensah B, et al. University students’ reasons and attitudes towards online gambling and its implication on their lives. J Gambl Stud. 2023; 39(1): 203–224.
  • Currie SR, Hodgins DC, Casey DM. Validity of the Problem Gambling Severity Index interpretive categories. J Gambl Stud 2013; 29(2): 311–327.
  • Salonen AH, Hellman M, Latvala T, Castrén S. Gambling participation, gambling habits, gambling-related harm, and opinions on gambling advertising in Finland in 2016. Nord Stud Alcohol Drugs 2018; 35(3): 215–234.
  • Akcayir M, Nicoll F, Baxter DG. Patterns of disciplinary involvement and academic collaboration in gambling research: a co-citation analysis. Crit Gambl Stud 2021; 2(1): 21–28.
  • İli B. Çevrimiçi kumarın sosyal medyada tehlikeli yükselişi: youtube videoları üzerine bir inceleme. Gümüşhane Üniversitesi İletişim Fakültesi Elektronik Dergisi 2024; 12(2): 793-815.
  • Öztürkmen M. Yetişkin Bireylerin Çevrimiçi Kumar Bağımlılığının Dürtüsellik Ile Ilişkisi. [Yüksek lisans tezi]. İstanbul: İstanbul Gelişim Üniversitesi Lisansüstü Eğitim Enstitüsü Psikoloji Anabilim Dalı Bağımlılık Psikolojisi Bilim Dalı, 2023.
  • Karaibrahimoğlu A, Kişioğlu AN, Çoban B, et al. Validity and reliability study of Online Gambling Addiction Scale (OGAS). Addicta 2021; 8(3): 186–193.
  • Çakmak S, Tamam L Kumar oynama bozukluğu: genel bir bakış. Bağımlılık Dergisi 2018; 19(3): 78-97.
  • Kaya FŞ, Başkan A. Kumar oynama motivasyonunun iç-dış kontrol odağı ile ilişkisi. Bağımlılık Dergisi 2020; 21(3): 210-222.
  • Van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010;84(3):523-538.
  • Avelar ABA, da Silva-Oliveira KD, da Silva Pereira R. Education for advancing the implementation of the Sustainable Development Goals: a systematic approach. International Journal of Management Education 2019; 17(3): 100322.
  • Albort-Morant G, Henseler J, Leal-Millán A, Cepeda-Carrión G. Mapping the field: a bibliometric analysis of green innovation. Sustainability 2017; 9: 1011.
  • Block JH, Fisch C. Eight tips and questions for your bibliographic study in business and management research. Manag Rev Q 2020; 70(3): 307–312.
  • Uddin S, Hossain L, Abbasi A, Rasmussen K. Trend and efficiency analysis of co-authorship network. Scientometrics 2012; 90(2): 687–699.
  • Ersen N, Akyüz İ, Akyüz KC. Bibliometric analysis of the international journal in wood science using visualization mapping method. Eurasian Journal of Forest Science 2024; 12(2): 47-65.
  • Öztürk N, Kurutkan MN. Kalite yönetiminin bibliyometrik analiz yöntemi ile incelenmesi. Journal of Innovative Healthcare Practices 2020; 1(1): 1-13.
  • Lawn S, Oster C, Riley B, et al. Literature review and gap analysis of emerging technologies and new trends in gambling. Int J Environ Res Public Health 2020; 17: 744.
  • Stehmann J. Identifying research streams in online gambling and gaming literature: a bibliometric analysis. Comput Human Behav 2020; 107: 106219.
  • Ladouceur R, Shaffer P, Blaszczynski A, Shaffer HJ. Responsible gambling: a synthesis of the empirical evidence. Addict Res Theory 2016; 25(3): 225–235.
  • Livingstone C, Rintoul A. Moving on from responsible gambling: a new discourse is needed to prevent and minimise harm from gambling. Public Health 2020; 184: 107–112.
  • Blaszczynski A, Shaffer HJ, Ladouceur R, et al. Clarifying responsible gambling and its concept of responsibility. Int J Ment Health Addict. 2022; 20(3): 1398–1404.
  • van Schalkwyk MCI, Petticrew M, Cassidy R, et al. A public health approach to gambling regulation: countering powerful influences. Lancet Public Health. 2021; 6(8): e614–e619.
  • Karaibrahimoğlu A, Kişioğlu AN, Çoban B, et al. Validity and reliability study of Online Gambling Addiction Scale (OGAS). Addicta 2021; 8(3): 186–193.
  • Zhong G, Du J, Zhao M. Understanding and addressing the challenges of online gambling addiction in mainland China. Gen Psychiatr 2024; 37(2): e101477.
  • Popescu AM, Balica RȘ, Lazăr E, et al. Smartphone addiction risk, technology-related behaviors and attitudes, and psychological well-being during the COVID-19 pandemic. Front Psychol 2022; 13: 997253
  • Serra G, Lo Scalzo L, Giuffrè M, et al. Smartphone use and addiction during the coronavirus disease 2019 (COVID-19) pandemic: cohort study on 184 Italian children and adolescents. Ital J Pediatr 2021; 47(1): 150.
  • Li YY, Sun Y, Meng SQ, et al. Internet addiction increases in the general population during COVID-19: evidence from China. Am J Addict 2021; 30(4): 389–397.
  • Putra PY, Fithriyah I, Zahra Z. Internet addiction and online gaming disorder in children and adolescents during COVID-19 pandemic: a systematic review. Psychiatry Investig 2023; 20(3): 196–204.
  • Montiel I, Ortega-Barón J, Basterra-González A, et al. Problematic online gambling among adolescents: a systematic review about prevalence and related measurement issues. J Behav Addict 2021; 10(3): 566–586.
  • Olason DT, Kristjansdottir E, Einarsdottir H, et al. Internet gambling and problem gambling among 13 to 18 year old adolescents in Iceland. Int J Ment Health Addict 2011; 9: 257–263.
  • Tsitsika A, Critselis E, Janikian M, et al. Association between internet gambling and problematic internet use among adolescents. J Gambl Stud 2011; 27(3): 389–400.
  • Lee J, Sung MJ, Song SH, et al. Psychological factors associated with smartphone addiction in South Korean adolescents. J Early Adolesc 2018; 38(3): 288–302.
  • Xin M, Xing J, Pengfei W, et al. Online activities, prevalence of internet addiction and risk factors related to family and school among adolescents in China. Addict Behav Rep 2018; 7: 14–18.
  • National Centre for Social Research. (2025). Gambling Survey for Great Britain (GSGB). Gambling Commission. https://www.gamblingcommission.gov.uk/about-us/statistics-and-research/gambling-survey
  • van Schalkwyk MC, Maani N, McKee M, et al. "When the Fun Stops, Stop": An analysis of the provenance, framing and evidence of a 'responsible gambling' campaign. PLoS One. 2021; 16(8): e0255145.
  • Marionneau V. Gambling in Russia: policies, markets, and research. International Journal of Russian Studies 2020; 9(2): 122–134.
  • Statista. Average daily internet usage time in Turkey in 3rd quarter 2023, by device. https://www.statista.com/statistics/1291409/daily-internet-usage-in-turkey-by-device/#:~:text=Average%20daily%20internet%20usage%20in%20Turkey%20Q3%202023%2C%20by%20device&text=The%20average%20time%20spent%20on,internet%20using%20computers%20and%20tablets.
There are 63 citations in total.

Details

Primary Language English
Subjects Subtance Abuse
Journal Section Review
Authors

Muhammed Akat 0000-0002-8543-8022

Publication Date
Submission Date April 13, 2025
Acceptance Date May 28, 2025
Published in Issue Year 2025 Volume: 26 Issue: 4

Cite

AMA Akat M. Mapping Research on Online Gambling: A Bibliometric Analysis. Bağımlılık Dergisi. 26(4):510-523. doi:10.51982/bagimli.1675447

Bağımlılık Dergisi - Journal of Dependence