2026-04-17T01:36:00Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

62d2ecfd5951acd4780b6c6dd3f167ac70c6def497f4723a46b25f40ddd48834 2025-07-07T01:53:59Z language:enopenaire_data

Digital Phenotyping via Social Media Content 2 Digital Phenotyping via Social Media Content 2 doi:10.17026/dans-z7g-9wekeasy-dataset:320881 SK Kavvadias 2023-05-22 DANS Data Station Social Sciences and Humanities 2023-09-19 Computer and Information ScienceSocial Sciencesgaming addiction, behavior changeuser activity analysis, sentiment analysistopic modeling, LDA <p>The research project associated with this dataset focuses on the analysis of the top threads within the ddo subreddit. The dataset contains essential information about each of these threads, including the author's username, the post's title, the post text, its score, and the number of comments it has received. Additionally, it includes a detailed record of all comments within each thread, encompassing the commenter's username, the date and time of their comment, and the score received by each comment.<br>The purpose of this project is to recognize addicted users within the ddo subreddit community by considering their activity patterns, emotional expressions, and content preferences, ultimately contributing to a deeper understanding of addiction-related behaviors in online communities and informing strategies for tailored support and interventions.</p>Date Submitted: 2023-09-19 https://ssh.datastations.nl/oai doi:10.17026/DANS-Z7G-9WEK 2025-07-03T00:01:05Z ddi:codebook:2_5