Incidental Exposure to Online News
eBook - PDF

Incidental Exposure to Online News

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Incidental Exposure to Online News

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About This Book

Rapid technological changes and availability of news anywhere and at any moment have changed how people seek out news. Increasingly, consumers no longer take deliberate actions to read the news, instead stumbling upon news online. While the emergence of serendipitous news discovery online has been recognized in the literature, there is a limited understanding about how people experience this behavior. Based on the mixed method study that investigated online news reading behavior of residents in a Midwestern U.S. town, we explore how people accidentally discover news when engaged in various online activities. Employing the grounded theory approach, we define Incidental Exposure to Online News (IEON) as individual's memorable experiences of chance encounters with interesting, useful, or surprising news while using the Internet for news browsing or for non-news-related online activities, such as checking email or visiting social networking sites. The book presents a conceptual framework of IEON that advances research and an understanding of serendipitous news discovery from people's holistic experiences of news consumption in their everyday lives. The proposed IEON Process Model identifies key steps in an IEON experience that could help news reporters and developers of online news platforms create innovative storytelling and design strategies to catch consumers' attention during their online activities. Finally, this book raises important methodological questions for further investigation: how should serendipitous news discovery be studied, measured, and observed, and what are the essential elements that differentiate this behavior from other types of online news consumption and information behaviors?

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Yes, you can access Incidental Exposure to Online News by Borchuluun Yadamsuren,Sanda Erdelez in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Networking. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Springer
Year
2022
ISBN
9783031023057
Topic
Computer Science
Subtopic
Computer Networking
Index
Computer Science

Table of contents

  1. Cover
  2. Copyright Page
  3. Title Page
  4. Dedication
  5. Contents
  6. Preface
  7. Acknowledgments
  8. Introduction
  9. Literature Review
  10. Methods
  11. Perception of IEON
  12. The Process of IEON
  13. Conceptual Framework of IEON
  14. Implications and Future Directions
  15. Demographics of Interview Respondents
  16. Description of IEON Process Steps
  17. Bibliography
  18. Author Biographies