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Web Content Credibility

  • Adam Wierzbicki

Table of contents

  1. Front Matter
    Pages i-xii
  2. Adam Wierzbicki
    Pages 1-19
  3. Adam Wierzbicki
    Pages 21-79
  4. Adam Wierzbicki
    Pages 81-129
  5. Adam Wierzbicki
    Pages 131-153
  6. Adam Wierzbicki
    Pages 155-203
  7. Adam Wierzbicki
    Pages 205-206
  8. Back Matter
    Pages 207-221

About this book

Introduction

This book introduces readers to Web content credibility evaluation and evaluation support. It highlights empirical research and establishes a solid foundation for future research by presenting methods of supporting credibility evaluation of online content, together with publicly available datasets for reproducible experimentation, such as the Web Content Credibility Corpus. 

The book is divided into six chapters. After a general introduction in Chapter 1, including a brief survey of credibility evaluation in the social sciences, Chapter 2 presents definitions of credibility and related concepts of truth and trust. Next, Chapter 3 details methods, algorithms and user interfaces for systems supporting Web content credibility evaluation. In turn, Chapter 4 takes a closer look at the credibility of social media, exemplified in sections on Twitter, Q&A systems, and Wikipedia, as well as fake news detection. In closing, Chapter 5 presents mathematical and simulation models of credibility evaluation, before a final round-up of the book is provided in Chapter 6.

Overall, the book reviews and synthesizes the current state of the art in Web content credibility evaluation support and fake news detection. It provides researchers in academia and industry with both an incentive and a basis for future research and development of Web content credibility evaluation support services.

Misinformation on the Internet, deliberate or merely out of ignorance, is a serious problem and it puts users in the position of needing strong critical thinking skills to sort wheat from chaff. This book will help. It's an impressive exploration of ideas in the area of Web content credibility evaluation support. – Vint Cerf, Vice President and Chief Internet Evangelist at Google


Keywords

Web searching and information discovery Web applications Collaborative and social computing systems and tools Collaborative and social computing design and evaluation methods HCI design and evaluation methods Experimentation

Authors and affiliations

  • Adam Wierzbicki
    • 1
  1. 1.Polish-Japanese Institute of Information TechnologyWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-77794-8
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-77793-1
  • Online ISBN 978-3-319-77794-8
  • Buy this book on publisher's site