Digital Phenotyping via Social Media Content 2

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.

Identifier
DOI https://doi.org/10.17026/dans-z7g-9wek
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-0z-ufqe
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:320881
Provenance
Creator Kavvadias, SK (ORCID: 0000-0001-7270-913X)
Publisher Data Archiving and Networked Services (DANS)
Contributor Stavropoulos, VS; Kavvadias, SK; SK Kavvadias (RMIT University: Melbourne, Victoria, AU); dr. VS Stavropoulos (RMIT University: Melbourne, Victoria, AU)
Publication Year 2023
Rights info:eu-repo/semantics/restrictedAccess; License: http://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf; http://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Text
Format text/plain; .ods
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences