Digital Phenotyping via Social Media Content 1

DOI

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.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.

Date Submitted: 2023-09-19

Identifier
DOI https://doi.org/10.17026/dans-xud-dr64
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-xud-dr64
Provenance
Creator SK Kavvadias (ORCID: 0000-0001-7270-913X)
Publisher DANS Data Station Social Sciences and Humanities
Contributor sk Kavvadias; VS Stavropoulos (RMIT University: Melbourne, Victoria, AU)
Publication Year 2023
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact sk Kavvadias (RMIT University)
Representation
Resource Type Dataset
Format application/zip; text/tab-separated-values
Size 18006; 47602806
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences