Tuesday, July 20, 2021

[DMANET] [Extended Deadline: Aug. 05 (firm)][Free Springer Book] Call for Direct submission of full chapters: Combating Fake News with Computational Intelligence Techniques

- BASED ON MANY REQUESTS, THE FINAL DEADLINE IS EXTENDED To August 05
(FIRM)

- We appreciate your help to forward this CFC to your friends & email
lists.
Dear Colleagues/Friends/Students/Fellows,

We are pleased to announce to you that we have extended the deadline
until* August
05 (firm deadline). *We will include some high-quality chapters from direct
submissions (of full chapters) to the following book.
Regards,
M. LAHBY
Editor
==================================================

*Edited Book: **Combating Fake News with Computational Intelligence
Techniques*
*Publication in "Studies in Computational Intelligence
<https://www.springer.com/series/7092>", by Springer and indexed by
(Scopus)*

*Call for Chapters: **Call for Chapters Link
<https://sites.google.com/view/cit-fakenews-book>*
*Submission link: Submission link
<https://easychair.org/my/conference?conf=citfn2021>*
*Chapter Submission (Extended Deadline): August 05, 2021 (Firm) *
-----------------------------------------------------------------------------

Editors of the Springer Book "*Combating Fake News with Computational
Intelligence Technique*s" 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:
------------------------------------------------------
Call for chapters Website <https://sites.google.com/view/cit-fakenews-book>

*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
<https://www.springer.com/de/authors-editors/book-authors-editors/resources-guidelines/book-manuscript-guidelines/manuscript-preparation/5636>*)
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*
<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 <https://www.springer.com/series/7092>*" by *Springer*, *h-index
= 40*, highly indexed in *Scopus, EI, DBPL, etc*…
*Contact: *
For questions regarding the book, please contact the *Lead volume editor*:

- *Mohamed Lahby*: lahby <mlahby@gmail.co>@ieee.org

We look forward to hearing from you.


--


*Dr. M.Lahby*

Laboratory of Mathematics and Applications, University Hassan II, Ecole
Normale Supérieure (ENS) Casablanca, Morocco

mlahby@gmail.com
GSM : +212 6 65 29 23 76
In the world of Linux, who needs Windows and Gates

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