IDEAS home Printed from https://ideas.repec.org/a/gam/jpubli/v13y2025i1p5-d1569078.html

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

Author

Listed:
  • Jesús Cascón-Katchadourian

    (Facultad de Salud y Deporte de Huesca, Universidad de Zaragoza, 50009 Zaragoza, Spain)

  • Javier Guallar

    (Facultad de Información y Medios Audiovisuales, Universidad de Barcelona, 08007 Barcelona, Spain)

  • Wileidys Artigas

    (Facultad de Ciencias Económicas y Sociales, Universidad del Zulia, 4001 Maracaibo, Venezuela
    Assuntos Científicos e Pós-Graduação, Universidade Óscar Ribas, 6978 Luanda, Angola
    Editorial Department, High Rate Consulting, Plano, TX 75025, USA)

Abstract

The use of social media to disseminate academic content is increasing, particularly in scientific journals. This study has the following two main objectives: first, exploring the use of social media by high-impact academic journals in two different SJR categories (Library and Information Sciences and Communication), and second, analyzing content curation carried out by the world’s most influential journals in both areas. The research methodology is descriptive with a quantitative approach regarding the items studied. The study finds that COM journals have a stronger social media presence than LIS journals, and X dominates in both categories and regions as the top social network, with significant influence as the only platform. On the other hand, content curation was found to a high degree in both areas, especially in the LIS area, with 93% vs. 80% in COM. The study highlights that both COM and LIS journals primarily focus on promoting recent articles, with COM diversifying content more than LIS. In terms of the content curation techniques used in both areas, the majority are abstracting and summarizing.

Suggested Citation

  • Jesús Cascón-Katchadourian & Javier Guallar & Wileidys Artigas, 2025. "Social Media Analysis of High-Impact Information and Communication Journals: Adoption, Use, and Content Curation," Publications, MDPI, vol. 13(1), pages 1-20, January.
  • Handle: RePEc:gam:jpubli:v:13:y:2025:i:1:p:5-:d:1569078
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2304-6775/13/1/5/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2304-6775/13/1/5/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Han Zheng & Htet Htet Aung & Mojisola Erdt & Tai‐Quan Peng & Aravind Sesagiri Raamkumar & Yin‐Leng Theng, 2019. "Social media presence of scholarly journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(3), pages 256-270, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ting Cong & Zhichao Fang & Rodrigo Costas, 2022. "WeChat uptake of chinese scholarly journals: an analysis of CSSCI-indexed journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7091-7110, December.
    2. Wang, Yajie & Hou, Haiyan & Hu, Zhigang, 2021. "‘To tweet or not to tweet?’ A study of the use of Twitter by scholarly book publishers in Social Sciences and Humanities," Journal of Informetrics, Elsevier, vol. 15(3).
    3. Mina Moradzadeh & Shahram Sedghi & Sirous Panahi, 2023. "Towards a new paradigm for ‘journal quality’ criteria: a scoping review," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 279-321, January.
    4. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    5. Cao, Renmeng & Geng, Yu & Xu, Xiaoke & Wang, Xianwen, 2022. "How does duplicate tweeting boost social media exposure to scholarly articles?," Journal of Informetrics, Elsevier, vol. 16(1).
    6. Zhichao Fang & Rodrigo Costas & Paul Wouters, 2022. "User engagement with scholarly tweets of scientific papers: a large-scale and cross-disciplinary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4523-4546, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jpubli:v:13:y:2025:i:1:p:5-:d:1569078. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.