Total Journalism - Models, Techniques and Challenges

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.
 

Table des matières

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.

Détails du produit

• Collaboration: Xosé López-García (Editeur), María-Cruz Negreira-Rey (Editeur), María-Cr Negreira-Rey et al (Editeur), Alba Silva-Rodríguez (Editeur), Carlos Toural-Bran (Editeur), Jorge Vázquez-Herrero (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 22.01.2023
• EAN: 9783030880309
• ISBN: 978-3-0-3088030-9
• Pages: 285
• Dimensions: 155 mm x 16 mm x 235 mm
• Illustrations: XIV, 285 p. 24 illus.
• Thème: Studies in Big Data
• Catégorie: Sciences naturelles, médecine, informatique, technique > Technique > Général, dictionnaires