research-article

An Intelligent Approach Based on Cleaning up of Inutile Contents for Extremism Detection and Classification in Social Networks

Authors: Adel Berhoum, Mohammed Charaf Eddine Meftah, Abdelkader Laouid, Mohammad HammoudehAuthors Info & Claims

ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 22, Issue 5

Article No.: 148, Pages 1 - 20

https://doi.org/10.1145/3575802

Published: 09 May 2023 Publication History

Abstract

Extremism is a growing threat worldwide that presents a significant danger to public safety and national security. Social networks provide extremists with spaces to spread their ideas through commentaries or tweets, often in Asian English. In this paper, we propose an intelligent approach that cleans the text’s content, analyzes its sentiment, and extracts its features after converting it to digital data for machine learning treatments. We apply 16 intelligent machine learning classifiers for extremism detection and classification. The proposed artificial intelligence methods for Asian English language data are used to extract the essential features from the text. Our evaluation of the proposed model with an extremism dataset proves its effectiveness compared to the standard classification models based on various performance metrics. The proposed model achieves 93,6% accuracy for extremism detection and 97,0% for extremism classification.

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Cited By

Adel BEddine Meftah MLaouid AChait KKara M(2024)Using Transformers to Classify Arabic Dialects on Social Networks2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS62114.2024.10541289(1-7)Online publication date: 24-Apr-2024
https://doi.org/10.1109/PAIS62114.2024.10541289
Md Suhaimin MAhmad Hijazi MMoung ENohuddin PChua SCoenen F(2024)Social media sentiment analysis and opinion mining in public securityJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2023.10177635:9Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.jksuci.2023.101776
Berjawi OFenza GLoia V(2023)A Comprehensive Survey of Detection and Prevention Approaches for Online Radicalization: Identifying Gaps and Future DirectionsIEEE Access10.1109/ACCESS.2023.332699511(120463-120491)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3326995

Index Terms

An Intelligent Approach Based on Cleaning up of Inutile Contents for Extremism Detection and Classification in Social Networks
1. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Structure and multilingual text search

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Published In

cover image ACM Transactions on Asian and Low-Resource Language Information Processing

ACM Transactions on Asian and Low-Resource Language Information Processing Volume 22, Issue 5

May 2023

653 pages

ISSN:2375-4699

EISSN:2375-4702

DOI:10.1145/3596451

Editor:
Imed Zitouni
Google, USA

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 May 2023

Online AM: 19 January 2023

Accepted: 25 September 2022

Revised: 09 September 2022

Received: 01 May 2022

Published in TALLIP Volume 22, Issue 5

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Cited By

Adel BEddine Meftah MLaouid AChait KKara M(2024)Using Transformers to Classify Arabic Dialects on Social Networks2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS62114.2024.10541289(1-7)Online publication date: 24-Apr-2024
https://doi.org/10.1109/PAIS62114.2024.10541289
Md Suhaimin MAhmad Hijazi MMoung ENohuddin PChua SCoenen F(2024)Social media sentiment analysis and opinion mining in public securityJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2023.10177635:9Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.jksuci.2023.101776
Berjawi OFenza GLoia V(2023)A Comprehensive Survey of Detection and Prevention Approaches for Online Radicalization: Identifying Gaps and Future DirectionsIEEE Access10.1109/ACCESS.2023.332699511(120463-120491)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3326995

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