Total journalism models, techniques and challenges / [electronic resource] :

• 其他作者：
  • Vazquez-Herrero, Jorge.
  • SpringerLink (Online service)
• 其他題名：
  • Studies in big data ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Studies in big data,v. 97
• 主題： Data Engineering. , Computational Intelligence. , Journalism. , Media and Communication.
• ISBN： 9783030880286 (electronic bk.) 、 9783030880279 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
• More
• 摘要註: 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.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: