My Account Log in

1 option

Veracity of Data / by Laure Berti-Équille, Javier Borge-Holthoefer.

Springer Nature Synthesis Collection of Technology Collection 6 Available online

View online
Format:
Book
Author/Creator:
Berti-Équille, Laure., Author.
Borge-Holthoefer, Javier., Author.
Series:
Synthesis Lectures on Data Management, 2153-5426
Language:
English
Subjects (All):
Computer networks.
Data structures (Computer science).
Information theory.
Computer Communication Networks.
Data Structures and Information Theory.
Local Subjects:
Computer Communication Networks.
Data Structures and Information Theory.
Physical Description:
1 online resource (XIII, 141 p.)
Edition:
1st ed. 2016.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
Summary:
On the Web, a massive amount of user-generated content is available through various channels (e.g., texts, tweets, Web tables, databases, multimedia-sharing platforms, etc.). Conflicting information, rumors, erroneous and fake content can be easily spread across multiple sources, making it hard to distinguish between what is true and what is not. This book gives an overview of fundamental issues and recent contributions for ascertaining the veracity of data in the era of Big Data. The text is organized into six chapters, focusing on structured data extracted from texts. Chapter 1 introduces the problem of ascertaining the veracity of data in a multi-source and evolving context. Issues related to information extraction are presented in Chapter 2. Current truth discovery computation algorithms are presented in details in Chapter 3. It is followed by practical techniques for evaluating data source reputation and authoritativeness in Chapter 4. The theoretical foundations and various approaches for modeling diffusion phenomenon of misinformation spreading in networked systems are studied in Chapter 5. Finally, truth discovery computation from extracted data in a dynamic context of misinformation propagation raises interesting challenges that are explored in Chapter 6. This text is intended for a seminar course at the graduate level. It is also to serve as a useful resource for researchers and practitioners who are interested in the study of fact-checking, truth discovery, or rumor spreading.
Contents:
Introduction to Data Veracity
Information Extraction
Truth Discovery Computation
Trust Computation
Misinformation Dynamics
Transdisciplinary Challenges of Truth Discovery
Bibliography
Authors' Biographies.
ISBN:
9783031018558
3031018559

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account