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bh=ig59h6sy3qaeWLkqtpVHlAc+YLWVxz6sNfppHydKm2E=; b=Upk40Q5z+EyMjIIXdAazXmRgYstvplzny5jo2JWjhCjBGHSsM78HE4awD27BzYvqb+ kLjvQvQtRK6c4H10YxYIJ+ncuvzIgAD7JUwN7j8mrqI9RJGe8fXYdSjWYLqN0D6G1rgo fNWjFKEU+WS+OfRH56kg1F1Qow1y+Hdrm1y+NHK7T6ZrklyDxD6+LC7/qHTRYIE+KR98 enFGRHc7SSi9wGOArEbp6DYNB8tx8ObuAPdbkZ0+8YMnlMYZdhfZtE0qCXGW3xuqRMal esMIJDzGY6RvehPv6UJR0mK/MTaNvQDohyoAfXTZG4WfkrYhlaSaol0pQDgLjzAFGMCW mIVA== X-Gm-Message-State: AOAM5318YHwu4TsfK10qws91KRtaJetdzXGC7z5EzNguQf7eF/50TsS9 6HhANtgUOxnrbuOHDoHFx/DxhSUj9NvPT/m3zQa5WA== X-Google-Smtp-Source: ABdhPJznlEJWJHlBNF8IWwlhFbz2BXGIGW8PwM7CVEuth7j9Buoqn5JlQZYNXZnHnqIID/Y+3JT1GP+m1akvBs6yfSA= X-Received: by 2002:a65:438d:: with SMTP id m13mr13707031pgp.87.1624092483469; Sat, 19 Jun 2021 01:48:03 -0700 (PDT) MIME-Version: 1.0 From: mohamed Lahby Date: Sat, 19 Jun 2021 09:47:51 +0100 Message-ID: To: undisclosed-recipients:; Content-Type: multipart/alternative; boundary="0000000000008f664405c51a7ff1" Subject: [Caml-list] [Springer Book] Call for Direct submission of full chapters: Combating Fake News with Computational Intelligence Techniques Reply-To: mohamed Lahby X-Loop: caml-list@inria.fr X-Sequence: 18529 Errors-To: caml-list-owner@inria.fr Precedence: list Precedence: bulk Sender: caml-list-request@inria.fr X-no-archive: yes List-Id: List-Help: List-Subscribe: List-Unsubscribe: List-Post: List-Owner: List-Archive: Archived-At: --0000000000008f664405c51a7ff1 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable [Apologies, if you receive multiple copies of this CFC] Dear Colleagues/Friends/Students/Fellows, Please find a Call for Chapters below. The deadline is short. We are looking for a few more high-quality chapters to be added to this book's current content. The deadline for submission of proposal is: *10 July, 2021.* Those who have got their proposals accepted or chapters submitted may ignore this and encourage others to contribute only high-quality chapters. Regards, M. LAHBY Editor =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D *Call for Book Chapters* *Edited Book: Combating Fake News with Computational Intelligence Techniques* *Publication in "Studies in Computational Intelligence ", by Springer and indexed by (Scopus)* *Call for Chapters: **Call for Chapters Link * *Submission link: Submission link * *Chapter Submission Deadline: July 10, 2021 * ---------------------------------------------------------------------------= -- 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 *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=3Dcitfn2021* *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-ind= ex =3D 40*, highly indexed in *Scopus, EI, DBPL, etc*=E2=80=A6 *Contact: * For questions regarding the book, please contact the *Lead volume editor*: - *Mohamed Lahby*: lahby @ieee.org We look forward to hearing from you. --0000000000008f664405c51a7ff1 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable
[Apologies, if you receive multiple copies of this CF= C]

Dear Colleagues/Friends/Students/Fellows,
=

Please find a Call for Chapters below. The deadline is = short. We are looking for a few more high-quality chapters to be added to t= his book's current content. The deadline for submission of proposal is:= =C2=A010 July, 2021.=C2=A0Those who have got their proposals accepte= d or chapters submitted may ignore this and encourage others to contribute = only high-quality chapters.

Regards,
=
M. LAHBY
Editor

=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D
Call for Book Chap= ters

Edited Book:=C2=A0Combating Fake New= s with Computational Intelligence Techniques

=
Publication in "Studies in Computational Intelligence", by Springer and indexed by (Sc= opus)

Cal=
l=C2=A0for=C2=A0Chapters:=C2=A0=
Call for Chapters Link
Submission link:=C2=A0Su=
bmission link
Chapter Submission Deadline:=C2=A0July 10, 202=
1=C2=A0
-------------------------------------------------=
----------------------------
Editors of the Springer Book "Combating=
 Fake News with Computational Intelligence Techniques" invites submissions contai=
ning Original, High Quality Ideas that are relevant to the SCOPE OF THE BOO=
K. The chapter proposal may kindly  be sent in Latex or Word format. 

EXPERIENCED Authors and Contributors in the field of Big Da=
ta intelligence may kindly submit their chapter. All chapter proposals that conform to sub=
mission 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 a= udience of researchers, academics and professionals=C2=A0from different communities= to share and exchange new ideas, approaches, theories and practices to res= olve the challenging issues associated with the leveraging of combat= ing fake news with computational intelligence techniques.=C2=A0Therefore, the suggested topics of interest for this= book include, but are not limited to:=C2=A0

  • Artificial Intelligence f= or fake news detection

  • Feature extraction algorithms for content manipulation

  • Fake News Detection Techniques in = the era of pandemics

  • F= ake video detection in social media

  • Fake image detection in social media

  • Benchmarking disinformation detection systems=

  • NLP for social media = analysis

  • Sentiment ana= lysis methods for fake news detection

  • Benchmarking disinformation detection systems

  • Data mining based predictive models=

  • Detection and analysi= s of disinformation, hoaxes and fake news

  • Blockchain Technology on Fake News

  • Feature Analysis on Fake News Detection/Pr= evention

  • Fake news det= ection in social media

  • Feature engineering on Fake News

  • Case studies and real-world applications (e.g., media sector, i= nternet content search engines, educational sector, agri-food sector, etc.)= =C2=A0

  • Machine learning and soft computing methods for media content and disinf= ormation analysis

Submission Procedure:= =C2=A0

Authors are invited to submit their full chap= ters by=C2=A0July 10, 2021. Manuscripts submitted for the book must = be original, must not be previously published or currently under review any= where. 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 fro= m the (link) and the Chapter should contain= in between=C2=A015-24 pages. Manuscripts that do not follow the for= matting rules will be rejected without review. Prospective authors should s= end their manuscripts electronically through the easychair submission syste= m as mentioned below:

Submission Link:= =C2=A0https://easychair.org/= my/conference?conf=3Dcitfn2021

NB:=C2=A0There are=C2=A0no submission or acceptance fees= =C2=A0for manuscripts submitted to this book publication. All manuscripts a= re accepted based on a double-blind peer review editorial process.=C2=A0

<= font face=3D"monospace, monospace">Abstracting and = Indexing:

= The accepted chapters will be published in "<= b>Studie= s in Computational Intelligence" by=C2=A0Springer,=C2= =A0h-index =3D 40, highly indexed in=C2=A0Scopus, EI, DBPL, etc=E2=80=A6

Contact:= =C2=A0
For questions regarding the book, please contact the=C2=A0Lea= d=C2=A0volume editor:=C2=A0=C2=A0
We look forward to hearing from you.=C2=A0=C2=A0

--0000000000008f664405c51a7ff1--