Digital Phenotyping via Social Media Content 2

DOI

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.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.

Date Submitted: 2023-09-19

Identifier
DOI https://doi.org/10.17026/dans-z7g-9wek
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-z7g-9wek
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/closedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact sk Kavvadias (RMIT University)
Representation
Resource Type Dataset
Format application/vnd.oasis.opendocument.spreadsheet; application/zip
Size 6494136; 16922
Version 2.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences