• Media type: E-Book
  • Title: Total Journalism : Models, Techniques and Challenges
  • Contributor: Vázquez-Herrero, Jorge [HerausgeberIn]; Silva-Rodríguez, Alba [HerausgeberIn]; Negreira-Rey, María-Cruz [HerausgeberIn]; Toural-Bran, Carlos [HerausgeberIn]; López-García, Xosé. [HerausgeberIn]
  • imprint: Cham: Springer International Publishing, 2022.
    Cham: Imprint: Springer, 2022.
  • Published in: Studies in Big Data ; 97
  • Issue: 1st ed. 2022.
  • Extent: 1 Online-Ressource(XIV, 285 p. 24 illus.)
  • Language: English
  • DOI: 10.1007/978-3-030-88028-6
  • ISBN: 9783030880286
  • Identifier:
  • Keywords: Engineering—Data processing. ; Computational intelligence. ; Journalism. ; Communication.
  • Origination:
  • Footnote:
  • Description: Convergence and Innovation: The Conceptual and Methodological Basis of Technological Evolution and Cultural Complexity in Journalism -- Journalistic Storytelling for Complexity -- After the Hype: How Hi-Tech Is Reshaping Journalism.

    This book aims to explore the diverse landscape of journalism in the third decade of the twenty-first century, constantly changing and still dealing with the consequences of a global pandemic. ‘Total journalism’ is the concept that refers to the renewed and current journalism that employs all available techniques, technologies, and platforms. Authors discuss the innovative nature of journalism, the influence of big data and information disorders, models, professionals and audiences, as well as the challenges of artificial intelligence. The book gives an up-to-date overview of these perspectives on journalistic production and distribution. The effects of misinformation and the challenge of artificial intelligence are of specific relevance in this book. Readers can enjoy with contributions from prestigious experts and researchers who make this book an interesting resource for media professionals and researchers in media and communication studies.