Language of change in online narratives of recovery from disordered gaming

This study examines the language and subjective experience of change during recovery from disordered gaming, as expressed by individuals in an online support community. We analyzed 22,459 unique texts (1963 posts and 20,496 comments) drawn from a Reddit online self-help community dedicated to disordered gaming. Using Latent Dirichlet Allocation (LDA), we identified data-driven topics, then aligned them to the Transtheoretical Model of Change (TTM) through reflexive thematic analysis and netnography, and validated patterns with sentiment analysis and engagement metrics. Seven themes consistently appeared: escapism, guilt and regret, relationship strain, identity issues, health deterioration, desire for moderation, and search for replacement activities. These themes cut across multiple TTM stages, showing that recovery is fluid and cyclical, not a straight line. Community language was moderately positive overall, acknowledging frustration and anxiety while expressing hope and mutual support, indicating the subreddit often functions as an empowering support system. Findings affirm TTM’s relevance for understanding disordered gaming and underscore the value of social connection and creative self-regulation in recovery. We recommend that readiness assessments and interventions reflect the shifting, story-driven nature of these journeys. Results also support online peer-support communities as scalable, low-barrier mental health resources grounded in authentic participant voices.

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-01-14
DOI
https://doi.org/10.1038/s41598-025-33991-8
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Language of change in online narratives of recovery from disordered gaming

Scientific Reports
Impact of Technology on Adolescents
article

Language of change in online narratives of recovery from disordered gaming

article en

Abstract

This study examines the language and subjective experience of change during recovery from disordered gaming, as expressed by individuals in an online support community. We analyzed 22,459 unique texts (1963 posts and 20,496 comments) drawn from a Reddit online self-help community dedicated to disordered gaming. Using Latent Dirichlet Allocation (LDA), we identified data-driven topics, then aligned them to the Transtheoretical Model of Change (TTM) through reflexive thematic analysis and netnography, and validated patterns with sentiment analysis and engagement metrics. Seven themes consistently appeared: escapism, guilt and regret, relationship strain, identity issues, health deterioration, desire for moderation, and search for replacement activities. These themes cut across multiple TTM stages, showing that recovery is fluid and cyclical, not a straight line. Community language was moderately positive overall, acknowledging frustration and anxiety while expressing hope and mutual support, indicating the subreddit often functions as an empowering support system. Findings affirm TTM’s relevance for understanding disordered gaming and underscore the value of social connection and creative self-regulation in recovery. We recommend that readiness assessments and interventions reflect the shifting, story-driven nature of these journeys. Results also support online peer-support communities as scalable, low-barrier mental health resources grounded in authentic participant voices.

Scientific ReportsVol. 16(1)
Deakin University (AU), La Trobe University (AU), RMIT University (AU)
Openalex Percentile: Top 90%
Impact of Technology on Adolescents
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.