[AISWorld] [FIRM Deadline Approaching] - Call for chapters , CRC Press/Taylor Free Book

[mohamed Lahby]

- Please accept our apologies if you received duplicate copies of this CFC.)
- Due to many requests, the submission deadline has been extended to 21 May
2023.
Dear Colleagues,

We are seeking two more high-quality chapters for our upcoming book titled,
"Combating Cyberbullying in Digital Media with Artificial Intelligence" to
be published by CRC Press, Taylor & Francis, USA. The firm and extended
deadline for direct submission is: 21 May 2023.

Kindly find the CFC below and even if you do not have an accepted proposal,
please feel free to submit directly via the mentioned submission link.

Regards,
M. LAHBY
Editor
★★★★★★★★★CALL FOR CHAPTERS★★★★★★★★★
Combating Cyberbullying in Digital Media with Artificial Intelligence
To be Published by CRC Press, Taylor & Francis, USA

URL: https://sites.google.com/view/cbai-book/home-page

Chapter Submission Deadline: 21 May, 2023

EDITORS

Mohamed Lahby, University Hassan II, Casablanca, Morocco - lahby at ieee.org
Al-Sakib Khan Pathan, United International University, Bangladesh -
sakib.pathan at gmail.com
Yassine Maleh, Sultan Moulay Slimane University, Morocco -
yassine.maleh at gmail.com

SCOPE

With the advancement of electronics and information technologies, digital
media platforms and virtual space have become a significant part of human
life today. People can share and exchange information and ideas globally
just with a single click. Among these digital media platforms, social
networks such as Facebook, YouTube, Twitter, etc., have a good standing.
They represent the most used applications by the people, everywhere and for
all times so far. Moreover, the traffic generated by digital media
platforms represents more than half of the web traffic worldwide.

It is a fact that the use of these digital media platforms has dramatically
influenced our habits on the Internet and in our daily life. As a result,
we must adequately be wary of the electronic violence propagated via social
networks. Indeed, cyberbullying has recently emerged as an effective form
of bullying and online harassment. This phenomenon is becoming a concern
worldwide. It includes many forms such as racism, terrorism, and several
types of trolling. On the other hand, Machine Intelligence (MI) and overall
Artificial Intelligence have shown promise to be powerful tools in various
domains, such as computer vision, natural language processing (NLP), speech
recognition, computational biology, and others. Motivated by these
successes, researchers worldwide have recently started investigating
applications of these techniques to handle cyberbullying issues in the
modern media. In this context, in recent years, many methods such as Fuzzy
Logic (FL), Evolutionary Algorithms (EA), M
 achine Learning (ML), Artificial Neural Networks (ANN) and Deep Learning
(DL) have been applied for detecting cyberbullying content generated by
digital media platforms. This book examines how machine intelligence
techniques can contribute to detecting and combating cyberbullying
phenomenon.

The book is intended for researchers, specialists in AI and cyberbullying,
teachers and it could be helpful for undergraduate and graduate students as
well.

TOPICS

Cyberbullying: State-of-the-Art Survey

- Overview of Machine Learning Techniques
- Overview Deep Learning Techniques
- Overview on Cyberbullying Features Detection/Prevention
- Cyberbullying in Online Unstructured Data
- Cyberbullying sources and Social Media

Artificial Intelligence for Cyberbullying detection

- Machine Learning and Ensemble Learning Approaches
- Deep Learning Models
- Text-Mining and Sentiment Analysis Techniques
- Graph Optimization Algorithms
- Explainable Artificial Intelligence
- Cyberbullying Detection Techniques and Coronavirus Epidemic.

Cyberbullying prevention techniques

- Machine Learning and Ensemble Learning
- Deep Learning
- Text-Mining and Sentiment Analysis Techniques
- Graph Optimization Algorithms
- Explainable Artificial Intelligence
- Cyberbullying Prevention Techniques and Coronavirus Epidemic.

Feature engineering on Cyberbullying

- Linguistics, Writing Style and Sentiment Based Features
- Social-Context Based and User’ Information Based Features
- Feature Selection, Extraction, Construction and Reduction
- Feature Analysis on Cyberbullying  Detection/Prevention

Solutions and frameworks in the practice

- Benchmark Dataset for Cyberbullying Detection/Prevention
- Real-World System for Cyberbullying Detection/Prevention
- Blockchain Technology on Cyberbullying
- Tracking and aggregating Online Cyberbullying-
- Cyberbullying and Social Media
- New Trends on News for Cyberbullying

Important Dates

Chapter submission : *May 21st, 2023* (extended deadline and FIRM)
Notification of Acceptance : June 13rd, 2023
Revised chapter submission :  June 23th, 2023
Final acceptance : July 1st, 2023
Online with DOI : Second half of 2023

Submission Instructions

Authors are invited to submit their full chapters by the deadline.
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 CRC Press chapter format. Please see
instructions here: https://sites.google.com/view/cbai-book/submission

Please email to any of the editors with title, abstract, and author list to
book a slot or know about the suitability: lahby at ieee.org,
sakib.pathan at gmail.com, yassine.maleh at gmail.com

Submissions must be done via the link:
https://easychair.org/conferences/?conf=cbai2023

======================================================
For any general query, you may write to lahby at ieee.org
======================================================

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Regards,
M. LAHBY
Editor