Edited Book: Combating Fake News with Computational Intelligence Techniques
Call for Chapters: Call for Chapters LinkSubmission link: Submission linkChapter Submission Deadline: July 10, 2021-----------------------------------------------------------------------------
Editors of the Springer Book "Combating Fake News with Computational Intelligence Techniques" invites submissions containing Original, High Quality Ideas that are relevant to the SCOPE OF THE BOOK. The chapter proposal may kindly be sent in Latex or Word format.
EXPERIENCED Authors and Contributors in the field of Big Data intelligence may kindly submit their chapter. All chapter proposals that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and research content, depth, correctness, relevance to scope of the book and readability.For details the following website may kindly be referred:------------------------------------------------------
Topics of Interest:
This book targets a mixed audience of researchers, academics and professionals from different communities to share and exchange new ideas, approaches, theories and practices to resolve the challenging issues associated with the leveraging of combating fake news with computational intelligence techniques. Therefore, the suggested topics of interest for this book include, but are not limited to:
Artificial Intelligence for fake news detection
Feature extraction algorithms for content manipulation
Fake News Detection Techniques in the era of pandemics
Fake video detection in social media
Fake image detection in social media
Benchmarking disinformation detection systems
NLP for social media analysis
Sentiment analysis methods for fake news detection
Benchmarking disinformation detection systems
Data mining based predictive models
Detection and analysis of disinformation, hoaxes and fake news
Blockchain Technology on Fake News
Feature Analysis on Fake News Detection/Prevention
Fake news detection in social media
Feature engineering on Fake News
Case studies and real-world applications (e.g., media sector, internet content search engines, educational sector, agri-food sector, etc.)
Machine learning and soft computing methods for media content and disinformation analysis
Submission Procedure:
Authors are invited to submit their full chapters by July 10, 2021. Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. Submitted manuscripts should respect the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or Word, and according to the Springer requirements that can be downloaded from the (link) and the Chapter should contain in between 15-24 pages. Manuscripts that do not follow the formatting rules will be rejected without review. Prospective authors should send their manuscripts electronically through the easychair submission system as mentioned below:
Submission Link: https://easychair.org/my/conference?conf=citfn2021
NB: There are no submission or acceptance fees for manuscripts submitted to this book publication. All manuscripts are accepted based on a double-blind peer review editorial process.
Abstracting and Indexing:
The accepted chapters will be published in "Studies in Computational Intelligence" by Springer, h-index = 40, highly indexed in Scopus, EI, DBPL, etc…