IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v15y2023i5p165-d1135505.html
   My bibliography  Save this article

Theory and Applications of Web 3.0 in the Media Sector

Author

Listed:
  • Charalampos A. Dimoulas

    (Multidisciplinary Media & Mediated Communication (M3C) Research Group, School of Journalism & Mass Communications, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Andreas Veglis

    (Multidisciplinary Media & Mediated Communication (M3C) Research Group, School of Journalism & Mass Communications, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

Abstract

We live in a digital era, with vast technological advancements, which, among others, have a major impact on the media domain. More specifically, progress in the last two decades led to the end-to-end digitalization of the media industry, resulting in a rapidly evolving media landscape. In addition to news digitization, User-Generated Content (UGC) is dominant in this new environment, also fueled by Social Media, which has become commonplace for news publishing, propagation, consumption, and interactions. However, the exponential increase in produced and distributed content, with the multiplied growth in the number of plenary individuals involved in the processes, created urgent needs and challenges that need careful treatment. Hence, intelligent processing and automation incorporated into the Semantic Web vision, also known as Web 3.0, aim at providing sophisticated data documentation, retrieval, and management solutions to meet the demands of the new digital world. Specifically, for the sensitive news and media domains, necessities are created both at the production and consumption ends, dealing with content production and validation, as well as tools empowering and engaging audiences (professionals and end users). In this direction, state-of-the-art works studying news detection, modeling, generation, recommendation, evaluation, and utilization are included in the current Special Issue, enlightening multiple contemporary journalistic practices and media perspectives.

Suggested Citation

  • Charalampos A. Dimoulas & Andreas Veglis, 2023. "Theory and Applications of Web 3.0 in the Media Sector," Future Internet, MDPI, vol. 15(5), pages 1-10, April.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:5:p:165-:d:1135505
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/15/5/165/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/15/5/165/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Efthimis Kotenidis & Nikolaos Vryzas & Andreas Veglis & Charalampos Dimoulas, 2022. "Integrating Chatbot Media Automations in Professional Journalism: An Evaluation Framework," Future Internet, MDPI, vol. 14(11), pages 1-23, November.
    2. Michail Niarchos & Marina Eirini Stamatiadou & Charalampos Dimoulas & Andreas Veglis & Andreas Symeonidis, 2022. "A Semantic Preprocessing Framework for Breaking News Detection to Support Future Drone Journalism Services," Future Internet, MDPI, vol. 14(1), pages 1-19, January.
    3. Charalampos A. Dimoulas, 2022. "Cultural Heritage Storytelling, Engagement and Management in the Era of Big Data and the Semantic Web," Sustainability, MDPI, vol. 14(2), pages 1-6, January.
    4. Aristeidis Lamprogeorgos & Minas Pergantis & Michail Panagopoulos & Andreas Giannakoulopoulos, 2022. "Aesthetic Trends and Semantic Web Adoption of Media Outlets Identified through Automated Archival Data Extraction," Future Internet, MDPI, vol. 14(7), pages 1-21, June.
    5. Lazaros Vrysis & Nikolaos Vryzas & Rigas Kotsakis & Theodora Saridou & Maria Matsiola & Andreas Veglis & Carlos Arcila-Calderón & Charalampos Dimoulas, 2021. "A Web Interface for Analyzing Hate Speech," Future Internet, MDPI, vol. 13(3), pages 1-18, March.
    6. Simón Peña-Fernández & Miguel Ángel Casado-del-Río & Daniel García-González, 2021. "From Rigidity to Exuberance: Evolution of News on Online Newspaper Homepages," Future Internet, MDPI, vol. 13(6), pages 1-14, June.
    7. Marina Eirini Stamatiadou & Iordanis Thoidis & Nikolaos Vryzas & Lazaros Vrysis & Charalampos Dimoulas, 2021. "Semantic Crowdsourcing of Soundscapes Heritage: A Mojo Model for Data-Driven Storytelling," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    8. Andreas Giannakoulopoulos & Minas Pergantis & Nikos Konstantinou & Alexandros Kouretsis & Aristeidis Lamprogeorgos & Iraklis Varlamis, 2022. "Estimation on the Importance of Semantic Web Integration for Art and Culture Related Online Media Outlets," Future Internet, MDPI, vol. 14(2), pages 1-28, January.
    9. Nikolaos Vryzas & Anastasia Katsaounidou & Lazaros Vrysis & Rigas Kotsakis & Charalampos Dimoulas, 2022. "A Prototype Web Application to Support Human-Centered Audiovisual Content Authentication and Crowdsourcing," Future Internet, MDPI, vol. 14(3), pages 1-17, February.
    10. Salvatore F. Pileggi & Carlos Fernandez-Llatas & Vicente Traver, 2012. "When the Social Meets the Semantic: Social Semantic Web or Web 2.5," Future Internet, MDPI, vol. 4(3), pages 1-13, September.
    11. Paschalia (Lia) Spyridou & Constantinos Djouvas & Dimitra Milioni, 2022. "Modeling and Validating a News Recommender Algorithm in a Mainstream Medium-Sized News Organization: An Experimental Approach," Future Internet, MDPI, vol. 14(10), pages 1-21, September.
    12. Olga Papadopoulou & Themistoklis Makedas & Lazaros Apostolidis & Francesco Poldi & Symeon Papadopoulos & Ioannis Kompatsiaris, 2022. "MeVer NetworkX: Network Analysis and Visualization for Tracing Disinformation," Future Internet, MDPI, vol. 14(5), pages 1-26, May.
    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. Carlos Arcila-Calderón & Javier J. Amores & Patricia Sánchez-Holgado & Lazaros Vrysis & Nikolaos Vryzas & Martín Oller Alonso, 2022. "How to Detect Online Hate towards Migrants and Refugees? Developing and Evaluating a Classifier of Racist and Xenophobic Hate Speech Using Shallow and Deep Learning," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    2. Paschalia (Lia) Spyridou & Constantinos Djouvas & Dimitra Milioni, 2022. "Modeling and Validating a News Recommender Algorithm in a Mainstream Medium-Sized News Organization: An Experimental Approach," Future Internet, MDPI, vol. 14(10), pages 1-21, September.
    3. Ahmad M. Alghamdi & Salvatore Flavio Pileggi & Osama Sohaib, 2023. "Social Media Analysis to Enhance Sustainable Knowledge Management: A Concise Literature Review," Sustainability, MDPI, vol. 15(13), pages 1-30, June.
    4. Andreas Giannakoulopoulos & Minas Pergantis & Laida Limniati & Alexandros Kouretsis, 2022. "Investigating the Country of Origin and the Role of the .eu TLD in External Trade of European Union Member States," Future Internet, MDPI, vol. 14(6), pages 1-27, June.
    5. Aristeidis Lamprogeorgos & Minas Pergantis & Michail Panagopoulos & Andreas Giannakoulopoulos, 2022. "Aesthetic Trends and Semantic Web Adoption of Media Outlets Identified through Automated Archival Data Extraction," Future Internet, MDPI, vol. 14(7), pages 1-21, June.
    6. Salvatore F. Pileggi & Robert Amor, 2013. "Addressing Semantic Geographic Information Systems," Future Internet, MDPI, vol. 5(4), pages 1-6, November.
    7. Faris A. Almalki & Maha Aljohani & Merfat Algethami & Ben Othman Soufiene, 2022. "Incorporating Drone and AI to Empower Smart Journalism via Optimizing a Propagation Model," Sustainability, MDPI, vol. 14(7), pages 1-24, March.
    8. Nikolaos Vryzas & Anastasia Katsaounidou & Lazaros Vrysis & Rigas Kotsakis & Charalampos Dimoulas, 2022. "A Prototype Web Application to Support Human-Centered Audiovisual Content Authentication and Crowdsourcing," Future Internet, MDPI, vol. 14(3), pages 1-17, February.
    9. Stella Markantonatou & Katerina Toraki & Panagiotis Minos & Anna Vacalopoulou & Vivian Stamou & George Pavlidis, 2021. "AMAΛΘΕΙA: A Dish-Driven Ontology in the Food Domain," Data, MDPI, vol. 6(4), pages 1-30, April.

    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:jftint:v:15:y:2023:i:5:p:165-:d:1135505. 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 (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.