Investigating Reddit to detect subreddit and author stereotypes and to evaluate author assortativity

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Titel: Investigating Reddit to detect subreddit and author stereotypes and to evaluate author assortativity
Autoren: Cauteruccio F., Corradini E., Terracina G., Ursino D., Virgili L.
Quelle: Journal of Information Science. 48:783-810
Verlagsinformationen: SAGE Publications, 2020.
Publikationsjahr: 2020
Schlagwörter: Assortativity, social network analysis, Reddit, community stereotypes, 0202 electrical engineering, electronic engineering, information engineering, subreddit lifespan, 02 engineering and technology, 10. No inequality, author stereotypes
Beschreibung: In recent years, Reddit has attracted the interest of many researchers due to its popularity all over the world. In this article, we aim at providing a contribution to the knowledge of this social network by investigating three of its aspects, interesting from the scientific viewpoint, and, at the same time, by analysing a large number of applications. In particular, we first propose a definition and an analysis of several stereotypes of both subreddits and authors. This analysis is coupled with the definition of three possible orthogonal taxonomies that help us to classify stereotypes in an appropriate way. Then, we investigate the possible existence of author assortativity in this social medium; specifically, we focus on co-posters, that is, authors who submitted posts on the same subreddit.
Publikationsart: Article
Sprache: English
ISSN: 1741-6485
0165-5515
DOI: 10.1177/0165551520979869
Zugangs-URL: https://journals.sagepub.com/doi/full/10.1177/0165551520979869
https://hdl.handle.net/20.500.11770/313490
https://doi.org/10.1177/0165551520979869
https://hdl.handle.net/11386/4852506
https://doi.org/10.1177/0165551520979869
Rights: URL: https://journals.sagepub.com/page/policies/text-and-data-mining-license
Dokumentencode: edsair.doi.dedup.....f8f1a3cc8edb65892f03db6852ebe5d2
Datenbank: OpenAIRE
Beschreibung
Abstract:In recent years, Reddit has attracted the interest of many researchers due to its popularity all over the world. In this article, we aim at providing a contribution to the knowledge of this social network by investigating three of its aspects, interesting from the scientific viewpoint, and, at the same time, by analysing a large number of applications. In particular, we first propose a definition and an analysis of several stereotypes of both subreddits and authors. This analysis is coupled with the definition of three possible orthogonal taxonomies that help us to classify stereotypes in an appropriate way. Then, we investigate the possible existence of author assortativity in this social medium; specifically, we focus on co-posters, that is, authors who submitted posts on the same subreddit.
ISSN:17416485
01655515
DOI:10.1177/0165551520979869