Combating Fake News with Computational Intelligence Techniques: 1001 (Studies in Computational Intelligence, 1001)
Lahby, Mohamed (Editor) / Yafooz, Wael Mohamed Shaher (Editor) / Pathan, Al-Sakib Khan (Editor) / Maleh, Yassine (Editor)
Language: English
Published by Springer, 2022
Series: Book 496 of 538 - Studies in Computational Intelligence
- Softcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 317.84
Quantity: 2 available
Add to basketItem description from seller
448 pages. 9.25x6.10x1.10 inches. In Stock.
Seller Inventory # x-3030900894
- Title
- Combating Fake News with Computational Intelligence Techniques: 1001 (Studies in Computational Intelligence, 1001)
- Author
- Lahby, Mohamed (Editor) / Yafooz, Wael Mohamed Shaher (Editor) / Pathan, Al-Sakib Khan (Editor) / Maleh, Yassine (Editor)
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3030900894
- ISBN 13
- 9783030900892
- Item weight
- 0.69 kilograms
- Series
- Book 496 of 538: Studies in Computational Intelligence
This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks.
This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks.
This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 2 to 3 business days |
|---|---|---|
| First item | US$ 16.50 | US$ 39.59 |
Payment methods
Seller's business information
Edward Bowditch Ltd
Exstowe, Exton
Exeter, United Kingdom EX3 0PP
Terms of sale
Legal entity name: Edward Bowditch Ltd
Legal entity form: Limited company
Business correspondence address: Exstowe, Exton, Exeter, EX3 0PP
Company registration number: 04916632
VAT registration: GB834241546
Authorised representative: Mr. E. Bowditch
Shipping terms
Orders usually dispatched within two working days. Please note that at this time all domestic United Kingdom orders are sent by trackable UPS courier, we choose not to offer a lower cost alternative.