Uncovering Cybercrimes in Social Media through Natural Language Processing

Among the myriad of applications of natural language processing (NLP), assisting law enforcement agencies (LEA) in detecting and preventing cybercrimes is one of the most recent and promising ones. The promotion of violence or hate by digital means is considered a cybercrime as it leverages the cybe...

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Main Authors: Julián Ramírez Sánchez, Alejandra Campo-Archbold, Andrés Zapata Rozo, Daniel Díaz-López, Javier Pastor-Galindo, Félix Gómez Mármol, Julián Aponte Díaz
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/7955637
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author Julián Ramírez Sánchez
Alejandra Campo-Archbold
Andrés Zapata Rozo
Daniel Díaz-López
Javier Pastor-Galindo
Félix Gómez Mármol
Julián Aponte Díaz
author_facet Julián Ramírez Sánchez
Alejandra Campo-Archbold
Andrés Zapata Rozo
Daniel Díaz-López
Javier Pastor-Galindo
Félix Gómez Mármol
Julián Aponte Díaz
author_sort Julián Ramírez Sánchez
collection DOAJ
description Among the myriad of applications of natural language processing (NLP), assisting law enforcement agencies (LEA) in detecting and preventing cybercrimes is one of the most recent and promising ones. The promotion of violence or hate by digital means is considered a cybercrime as it leverages the cyberspace to support illegal activities in the real world. The paper at hand proposes a solution that uses neural network (NN) based NLP to monitor suspicious activities in social networks allowing us to identify and prevent related cybercrimes. An LEA can find similar posts grouped in clusters, then determine their level of polarity, and identify a subset of user accounts that promote violent activities to be reviewed extensively as part of an effort to prevent crimes and specifically hostile social manipulation (HSM). Different experiments were also conducted to prove the feasibility of the proposal.
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series Complexity
spelling doaj-art-9092fbcbc8da44768f048caf955f9da22025-08-20T03:20:36ZengWileyComplexity1099-05262021-01-01202110.1155/2021/7955637Uncovering Cybercrimes in Social Media through Natural Language ProcessingJulián Ramírez Sánchez0Alejandra Campo-Archbold1Andrés Zapata Rozo2Daniel Díaz-López3Javier Pastor-Galindo4Félix Gómez Mármol5Julián Aponte Díaz6School of Engineering, Science and TechnologySchool of Engineering, Science and TechnologySchool of Engineering, Science and TechnologySchool of Engineering, Science and TechnologyFaculty of Computer ScienceFaculty of Computer ScienceArmada Nacional de ColombiaAmong the myriad of applications of natural language processing (NLP), assisting law enforcement agencies (LEA) in detecting and preventing cybercrimes is one of the most recent and promising ones. The promotion of violence or hate by digital means is considered a cybercrime as it leverages the cyberspace to support illegal activities in the real world. The paper at hand proposes a solution that uses neural network (NN) based NLP to monitor suspicious activities in social networks allowing us to identify and prevent related cybercrimes. An LEA can find similar posts grouped in clusters, then determine their level of polarity, and identify a subset of user accounts that promote violent activities to be reviewed extensively as part of an effort to prevent crimes and specifically hostile social manipulation (HSM). Different experiments were also conducted to prove the feasibility of the proposal.http://dx.doi.org/10.1155/2021/7955637
spellingShingle Julián Ramírez Sánchez
Alejandra Campo-Archbold
Andrés Zapata Rozo
Daniel Díaz-López
Javier Pastor-Galindo
Félix Gómez Mármol
Julián Aponte Díaz
Uncovering Cybercrimes in Social Media through Natural Language Processing
Complexity
title Uncovering Cybercrimes in Social Media through Natural Language Processing
title_full Uncovering Cybercrimes in Social Media through Natural Language Processing
title_fullStr Uncovering Cybercrimes in Social Media through Natural Language Processing
title_full_unstemmed Uncovering Cybercrimes in Social Media through Natural Language Processing
title_short Uncovering Cybercrimes in Social Media through Natural Language Processing
title_sort uncovering cybercrimes in social media through natural language processing
url http://dx.doi.org/10.1155/2021/7955637
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