Data for: Social Media Analysis of High-Impact Information and Communication Journals: Adoption, Use and Content Curation

DOI

The dataset presents content curation practices in top-ranked scientific journals (Q1) within the Communication (COM) and Library and Information Science (LIS) categories, as classified by Scimago Journal Rank. It focuses on how these journals manage and publish content on social media, analyzing indicators such as total and curated publications, topics covered, techniques employed, and types of integration used in their curation strategies. The study aims to identify patterns, methods, and differences between the two categories, providing a comprehensive overview of academic content curation practices. The data was collected from March to April 2024.

Identifier
DOI https://doi.org/10.34810/data1905
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1905
Provenance
Creator Cascón Katchadourian, Jesús Daniel ORCID logo; Guallar, Javier ORCID logo; Artigas, Wileidys ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Guallar, Javier; Universitat de Barcelona
Publication Year 2025
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Guallar, Javier (Universitat de Barcelona)
Representation
Resource Type Aggregate data; Dataset
Format text/tab-separated-values; text/plain
Size 50320; 3050; 16146
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Information Science; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences