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: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/7955637 |
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| _version_ | 1849692902031097856 |
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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. |
| format | Article |
| id | doaj-art-9092fbcbc8da44768f048caf955f9da2 |
| institution | DOAJ |
| issn | 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| 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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