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://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=62d2ecfd5951acd4780b6c6dd3f167ac70c6def497f4723a46b25f40ddd48834
Provenance
Creator SK Kavvadias
Publisher DANS Data Station Social Sciences and Humanities
Publication Year 2023
OpenAccess true
Representation
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences