Summary information

Study title

Digital Phenotyping via Social Media Content 1

Creator

SK Kavvadias (RMIT University: Melbourne, Victoria, AU)

Study number / PID

doi:10.17026/dans-xud-dr64 (DOI)

easy-dataset:320790 (DANS-KNAW)

Data access

Information not available

Series

Not available

Abstract

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

Topics

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Methodology

Data collection period

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Country

Time dimension

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Analysis unit

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Universe

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Sampling procedure

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Kind of data

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Data collection mode

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Access

Publisher

DANS Data Station Social Sciences and Humanities

Publication year

2023

Terms of data access

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Related publications

Not available