2026-04-26T01:06:54Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

ba785bfeab03a317da5a50c0b584428d6fe25e7cc0c615070a66e05a4567ca0d 2025-07-07T01:43:57Z language:enopenaire_data

Digital Phenotyping via Social Media Content 1 Digital Phenotyping via Social Media Content 1 doi:10.17026/dans-xud-dr64easy-dataset:320790 SK Kavvadias 2023-07-02 DANS Data Station Social Sciences and Humanities 2023-09-19 Computer and Information ScienceSocial Sciencesgaming addiction, behavior changetopic modeling, user activity analysis <p>The research project associated with this dataset delves into the dynamics of the "Stop Gaming" subreddit, where individuals share their personal experiences with gaming addiction, seek guidance, and engage with others facing similar challenges. The dataset comprises information about each post on the subreddit, including the post's title, the author's name, date and time of posting, its score, the number of comments it received, the text of the comments, and the respective authors of those comments.<br>The purpose of the project is to recognize and categorize users on the "Stop Gaming" subreddit according to the stages of change as outlined in The Transtheoretical Model (TTM) of Change, which include precontemplation, contemplation, preparation, action, and maintenance. To enhance our understanding and categorization of users within these stages, we will apply topic modeling, specifically Latent Dirichlet Allocation (LDA). This approach will allow us to connect specific topics and themes discussed within the subreddit with each stage of change.</p>Date Submitted: 2023-09-19 https://ssh.datastations.nl/oai doi:10.17026/DANS-XUD-DR64 2025-07-03T00:01:05Z ddi:codebook:2_5