Language of change in on-line narratives of restoration from disordered gaming

Şalvarlı, Ş. İ. & Griffiths, M. D. The affiliation between web gaming dysfunction and impulsivity: a scientific evaluation of literature. Int. J. Ment Health Addict. 20, 92–118 (2022).

Google Scholar 

Stavropoulos, V. et al. Associations between consideration deficit hyperactivity and web gaming dysfunction signs: is there consistency throughout varieties of signs, gender and international locations? Addict. Behav. Rep. 9, 100158 (2019).

Google Scholar 

Stavropoulos, V. et al. Deep studying(s) in gaming dysfunction by the person–avatar bond: a longitudinal examine utilizing machine studying. J. Behav. Addict. 12, 878–894 (2023).

Google Scholar 

World Health Organization. ICD-11: International Classification of Diseases: Eleventh Revision (World Health Organization, 2019).

American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders fifth edn (American Psychiatric Publishing, 2013).

Schivinski, B., Brzozowska-Woś, M., Buchanan, E. M., Griffiths, M. D. & Pontes, H. M. Psychometric evaluation of the web gaming dysfunction diagnostic standards: an merchandise response principle examine. Addict. Behav. Rep. 8, 176–184 (2018).

Google Scholar 

Stavropoulos, V., Kuss, D. J., Griffiths, M. D., Wilson, P. & Motti-Stefanidi, F. MMORPG gaming and hostility predict web dependancy signs in adolescents: an empirical multilevel longitudinal examine. Addict. Behav. 64, 294–300 (2017).

Google Scholar 

van Rooij, A. J. et al. A weak scientific foundation for gaming dysfunction: let Us err on the facet of warning. J. Behav. Addict. 7, 1–9 (2018).

Google Scholar 

Burleigh, T. L. et al. Co-occurrence of gaming dysfunction and different doubtlessly addictive behaviours between Australia, new Zealand, and the united Kingdom. Int. J. Environ. Res. Public. Health. 19, 16078 (2022).

Google Scholar 

Stavropoulos, V., Motti-Stefanidi, F. & Griffiths, M. D. Risks and alternatives for youth within the digital period. Eur. Psychol. (2021).

Adams, B. W. et al. Internet gaming dysfunction behaviors in emergent maturity: a pilot examine analyzing the interaction between nervousness and household cohesion. Int. J. Ment Health Addict. 17, 828–844 (2019).

Google Scholar 

Stavropoulos, V., Gómez, R. & Motti-Stefanidi, F. Internet gaming dysfunction: a pathway in direction of evaluation consensus. Front. Psychol. 10, 1822 (2019).

Google Scholar 

Zarate, D., Ball, M., Montag, C., Prokofieva, M. & Stavropoulos, V. Unravelling the online of addictions: a community evaluation strategy. Addict. Behav. Rep. 15, 100406 (2022).

Google Scholar 

Griffiths, M. D. et al. Gaming dysfunction amongst kids and adolescents. In (eds Demetrovics, Z. & Griffiths, M. D.) Handbook of Children and Screens: Digital Media, Development, and Well-Being from Birth Through Adolescence 187–194 (Springer Nature, (2024).

Le Glaz, A. et al. Machine studying and pure Language processing in psychological well being: systematic evaluation. J. Med. Internet Res. 23, e15708 (2021).

Google Scholar 

Le, N. et al. Detection and characterization of on-line substance use discussions amongst avid gamers: qualitative retrospective evaluation of Reddit r/CeaseGaming knowledge. JMIR Infodemiol. 4, e58201 (2024).

Google Scholar 

Prochaska, J. O. & DiClemente, C. C. The transtheoretical mannequin of change. In Treating Addictive Behaviors (eds Prochaska, J. O. & DiClemente, C. C.) 3–27 (Plenum, (1997).

Attrey, L., Dua, S., Kaushik, R., Anand, S. & Agarwal, A. Modeling the transtheoretical mannequin for well being conduct stage evaluation: software improvement and testing. In Handbook of Deep Learning Models for Healthcare Data Processing 144–157 (CRC, 2026).

Kim, J., Lee, J., Park, E. & Han, J. A deep studying mannequin for detecting psychological sickness from person content material on social media. Sci. Rep. 10, 11846 (2020).

Google Scholar 

Zarate, D., Ball, M., Prokofieva, M., Kostakos, V. & Stavropoulos, V. Identifying self-disclosed nervousness on twitter: a pure Language processing strategy. Psychiatry Res. 330, 115579 (2023).

Google Scholar 

Kavvadias, S., Drosatos, G. & Kaldoudi, E. Supporting matter modeling and traits evaluation in biomedical literature. J. Biomed. Inf. 110, 103574 (2020).

Google Scholar 

Proferes, N., Jones, N., Gilbert, S., Fiesler, C. & Zimmer, M. Studying reddit: a scientific overview of disciplines, approaches, strategies, and ethics. Soc. Media Soc. 7, 20563051211019004 (2021).

Google Scholar 

Reddit Inc & Press (https://redditinc.com/press; accessed 10 July 2025).

Hwang, Y., Kim, H. J., Choi, H. J. & Lee, J. Exploring irregular conduct patterns of on-line customers with emotional consuming conduct: matter modeling examine. J. Med. Internet Res. 22, e15700 (2020).

Google Scholar 

Shen, J. H. & Rudzicz, F. Detecting nervousness by Reddit. In Proc. Fourth Workshop Comput. Linguist. Clin. Psychol.—From Linguist. Signal Clin. Reality 58–65 (2017).

Tadesse, M. M., Lin, H., Xu, B. & Yang, L. Detection of depression-related posts in Reddit social media discussion board. IEEE Access. 7, 44883–44893 (2019).

Google Scholar 

Bucur, A. M., Cosma, A. & Dinu, L. P. Early threat detection of pathological playing, self-harm and melancholy utilizing BERT. Preprint at (2021). https://arxiv.org/abs/2106.16175.

Westrupp, E. M. et al. Text mining of Reddit posts: utilizing latent dirichlet allocation to determine frequent parenting points. PLoS One. 17, e0277458 (2022).

Google Scholar 

Blei, D. M., Ng, A. Y. & Jordan, M. I. Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003).

Google Scholar 

Prochaska, J. O. & DiClemente, C. C. Toward a complete mannequin of change. In Treating Addictive Behaviors: Processes of Change (eds (eds Miller, W. R. & Heather, N.) 3–27 (Plenum, (1986).

Kozinets, R. V. Netnography: Redefined. Sage (2015).

Braun, V. & Clarke, V. Reflecting on reflexive thematic evaluation. Qual. Res. Sport Exerc. Health. 11, 589–597 (2019).

Google Scholar 

Van Holst, S. PRAW: the Python Reddit API Wrapper (Version 7.8.0). GitHub (2024). https://github.com/praw-dev/praw.

Wheeler, J. M., Cohen, A. S., Xiong, J., Lee, J. & Choi, H. J. Sample dimension for latent dirichlet allocation of constructed-response gadgets. In Quantitative Psychology: IMPS 2020 (eds Wiberg, M. et al.) vol. 353 287–302 (Springer, (2021).

Maleki, N., Padmanabhan, B. & Dutta, Okay. The impact of financial incentives on well being care social media content material: examine based mostly on matter modeling and sentiment evaluation. J. Med. Internet Res. 25, e44307 (2023).

Google Scholar 

Akef, I., Arango, J. S. M. & Xu, X. Mallet vs gensim: matter modeling for 20 information teams report. Univ. Ark. Little Rock. Law J. 2, 10–13140 (2016).

Google Scholar 

Laureate, C. D. P., Buntine, W. & Linger, H. A scientific evaluation of using matter fashions for brief textual content social media evaluation. Artif. Intell. Rev. 56, 14223–14255 (2023).

Google Scholar 

Řehůřek, R. & Sojka, P. Software framework for matter modelling with massive corpora. In Proc. LREC 2010 Workshop New Challenges Large-Scale Text Anal. 45–50ELRA, (2010).

Röder, M., Both, A. & Hinneburg, A. Exploring the house of matter coherence measures. In Proc. eighth ACM Int. Conf. Web Search Data Min. 399–408ACM, (2015).

Gao, S., Pandya, S., Agarwal, S. & Sedoc, J. Topic modeling for maternal well being utilizing Reddit. In Proc. twelfth Int. Workshop Health Text Mining Inf. Anal. 69–76 (2021).

Kavvadias, S., Drosatos, G. & Kaldoudi, E. Springer Nature Singapore,. An on-line service for matters and traits evaluation in medical literature. In World Congress on Medical Physics and Biomedical Engineering 2018 (Vol. 1) 481–485 (2018).

Sievert, C. & Shirley, Okay. LDAvis: a technique for visualizing and deciphering matters. In Proc. Workshop Interact. Lang. Learn. Vis. Interfaces 63–70 (2014).

Silge, J. & Robinson, D. Text Mining with R: A Tidy Approach. O’Reilly Media (2017).

Braun, V. & Clarke, V. One dimension matches all? What counts as high quality observe in (reflexive) thematic evaluation. Qual. Res. Psychol. 18, 328–352 (2021).

Google Scholar 

Kozinets, R. V. Netnography: the Essential Guide To Qualitative Social Media Research third edn (SAGE, 2020).

Association of Internet Researchers. Internet Research: Ethical Guidelines 3.0. (2019).

Braun, V. & Clarke, V. Using thematic evaluation in psychology. Qual. Res. Psychol. 3, 77–101 (2006).

Google Scholar 

Shaw, A. Netnography and a summative content material evaluation strategy to market analysis. J. Emerg. Trends Mark. Manag. 1, 12–22 (2020).

Google Scholar 

Paltoglou, G. Springer Vienna,. Sentiment evaluation in social media. In Online Collective Action: Dynamics of the Crowd in Social Media 3–17 (2014).

Hutto, C. J. & Gilbert, E. VADER: a parsimonious rule-based mannequin for sentiment evaluation of social media textual content. In Proc. International AAAI Conf. Weblogs Soc. Media 8, 216–225 (2014).

Mohammad, S. M. & Turney, P. D. Crowdsourcing a word-emotion affiliation lexicon. Comput. Intell. 29, 436–465 (2013).

Google Scholar 

Mohammad, S. M. & Turney, P. D. ACL,. Obtaining dependable human scores of valence, arousal, and dominance for 20,000 English phrases. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 174–184 (2018).

Schivinski, B. & Dabrowski, D. Measuring shoppers’ engagement with brand-related social‐media content material: improvement and validation of a scale that identifies ranges of social‐media engagement. J. Advert. 45, 178–195 (2016).

Google Scholar 

Schivinski, B., Długosz, M. & Pontes, H. M. Influencing cobras: the results of brand name fairness on the buyer’s propensity to have interaction with brand-related content material on social media. J. Strat Mark. 29, 3–20 (2021).

Google Scholar 

De Choudhury, M. & De, S. Mental well being discourse on Reddit: self-disclosure, social assist, and anonymity. In Proc. Int. AAAI Conf. Web Soc. Media 8, 71–80 (2014).

Blaszczynski, A. & Nower, L. A pathways mannequin of drawback and pathological playing. Addiction 97, 487–499 (2002).

Google Scholar 

Griffiths, M. D. & Meredith, A. Videogame dependancy and its therapy. J. Contemp. Psychother. 39, 247–253 (2009).

Google Scholar 

Marlatt, G. A. & Gordon, J. R. Relapse Prevention: Maintenance Strategies within the Treatment of Addictive Behaviors (Guilford Press, 1985).

Pontes, H. M. et al. Measurement and conceptualization of gaming dysfunction based on the world well being group framework: the event of the gaming dysfunction check. Int J. Ment Health Addict (2021).

King, D. L., Delfabbro, P. H. & Griffiths, M. D. Clinical interventions for technology-based issues: extreme web and online game use. J. Cogn. Psychother. 26, 43 (2012).

Google Scholar 

Kourgiantakis, T., Saint-Jacques, M. C. & Tremblay, J. Problem playing and households: a scientific evaluation. J. Soc. Work Pract. Addict. 13, 353–372 (2013).

Google Scholar 

Bergstrom, Okay. & Poor, N. Reddit gaming communities throughout occasions of transition. Soc. Media Soc. 7, 2 (2021).

Google Scholar 

Griffiths, M. D., Kuss, D. J. & Demetrovics, Z. Social networking dependancy: an summary of preliminary findings. Behav. Addict. 119–141 (2014).

Estupiñá, F. J. et al. Emotional regulation in gaming dysfunction: a scientific evaluation. Am. J. Addict. 33, 605–620 (2024).

Google Scholar 

Johnson, D. et al. Gamification for well being and wellbeing: a scientific evaluation of the literature. Internet Interv. 6, 89–106 (2016).

Google Scholar 

Stavropoulos, V., Bamford, L., Beard, C., Gomez, R. & Griffiths, M. D. Test-retest measurement invariance of the nine-item web gaming dysfunction scale in two international locations: a preliminary longitudinal examine. Int. J. Ment Health Addict. 19, 2003–2020 (2021).

Google Scholar 

Király, O., Griffiths, M. D. & Demetrovics, Z. Internet gaming dysfunction and the DSM-5: Conceptualization, Debates, and controversies. Curr. Addict. Rep. 2, 254–262 (2015).

Google Scholar 

American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, fifth version (DSM-5), Internet Gaming Disorder, Section III. American Psychiatric Association. (2013).

World Health Organization. Gaming dysfunction description & FAQ. ICD-11. (2019). https://www.who.int/standards/classifications/frequently-asked-questions/gaming-disorder.

Reddit Help. What filters and types can be found? Reddit Help Center. (2023).

Patton, M. Q. Qualitative Research & Evaluation Methods 4th edn (SAGE, 2015).

Malterud, Okay., Siersma, V. D. & Guassora, A. D. Sample dimension in qualitative interview research: guided by info energy. Qual. Health Res. 26, 1753–1760 (2016).

Google Scholar 

Guest, G., Bunce, A. & Johnson, L. How many interviews are sufficient? An experiment with knowledge saturation and variability. Field Methods. 18, 59–82 (2006).

Google Scholar 

Hennink, M. M., Kaiser, B. N. & Marconi, V. C. Code saturation versus which means saturation: what number of interviews are sufficient? Qual. Health Res. 27, 591–608 (2017).

Google Scholar 

Fugard, A. J. B. & Potts, H. W. W. Supporting pondering on pattern sizes for thematic analyses: a quantitative software. Int. J. Soc. Res. Methodol. 18, 669–684 (2015).

Google Scholar 

Kozinets, R. V. & Gambetti, R. Netnography Unlimited. Routledge (2021).

Wallach, H. M., Murray, I., Salakhutdinov, R. & Mimno, D. Evaluation strategies for matter fashions. In Proceedings of the twenty sixth annual worldwide convention on machine studying, 1105–1112 (2009).

Mimno, D., Wallach, H. M., Talley, E., Leenders, M. & McCallum, A. Optimizing semantic coherence in matter fashions. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 262–272 (2011).

Rosner, F., Hinneburg, A., Röder, M., Nettling, M. & Both, A. Evaluating matter coherence measures. arXiv preprint arXiv:1403.6397 (2014).