Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys

Marcos Orellana; Pablo Arévalo; Alexandra Bermeo; Juan Fernando Lima; Irene Priscila Cedillo Orellana; Maria Ines Acosta-Uriguen

doi:10.1007/978-981-99-3236-8_26

Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys

Marcos Orellana (First Author)
, Pablo Arévalo
, Alexandra Bermeo
, Juan Fernando Lima
, Irene Priscila Cedillo Orellana
, Maria Ines Acosta-Uriguen

Universidad de Cuenca

Universidad del Azuay

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In latest years, harassment or abuse through mobile devices and the Internet has been on the rise. This issue, better known as cyberbullying, is crueler and more dangerous than the traditional ways of bullying, largely due to the anonymity on social media or the Internet possibly generating consequences across the person’s lifetime. Therefore, different approaches have been developed in the search of alerting, informing, and preventing about cyberbullying situations such as the creation of regulations, issuing laws, or promoting technological approaches. This paper aims to find relevant patterns by applying clustering techniques, and to accomplish this goal, the survey titled the scale of victimization among adolescents through mobile phones and Internet (CYBVIC) has been used allowing to measure behaviors of harassment, aggression and social exclusion. The results obtained by the clustering can be used to combat this social problem due to this analysis highlights the seven most important questions and the hidden patterns among the filled responses.

Original language	English
Title of host publication	Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023
Editors	Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	331-340
Number of pages	10
Volume	4
ISBN (Print)	978-9819932351
DOIs	https://doi.org/10.1007/978-981-99-3236-8_26
State	Published - 2024
Event	8th International Congress on Information and Communication Technology, ICICT 2023 - London, United Kingdom Duration: 20 Feb 2023 → 23 Feb 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	696 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	8th International Congress on Information and Communication Technology, ICICT 2023
Country/Territory	United Kingdom
City	London
Period	20/02/23 → 23/02/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Clustering algorithm
Cyberbullying
CYBVIC
Data mining
Harassment

Access to Document

10.1007/978-981-99-3236-8_26

Cite this

Orellana, M., Arévalo, P., Bermeo, A., Lima, J. F., Cedillo Orellana, I. P., & Acosta-Uriguen, M. I. (2024). Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys. In X.-S. Yang, R. S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023 (Vol. 4, pp. 331-340). (Lecture Notes in Networks and Systems; Vol. 696 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-3236-8_26

Orellana, Marcos ; Arévalo, Pablo ; Bermeo, Alexandra et al. / Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys. Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. editor / Xin-She Yang ; R. Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Vol. 4 Springer Science and Business Media Deutschland GmbH, 2024. pp. 331-340 (Lecture Notes in Networks and Systems).

@inproceedings{76d3152c44a443f7aba7726ded266083,

title = "Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys",

abstract = "In latest years, harassment or abuse through mobile devices and the Internet has been on the rise. This issue, better known as cyberbullying, is crueler and more dangerous than the traditional ways of bullying, largely due to the anonymity on social media or the Internet possibly generating consequences across the person{\textquoteright}s lifetime. Therefore, different approaches have been developed in the search of alerting, informing, and preventing about cyberbullying situations such as the creation of regulations, issuing laws, or promoting technological approaches. This paper aims to find relevant patterns by applying clustering techniques, and to accomplish this goal, the survey titled the scale of victimization among adolescents through mobile phones and Internet (CYBVIC) has been used allowing to measure behaviors of harassment, aggression and social exclusion. The results obtained by the clustering can be used to combat this social problem due to this analysis highlights the seven most important questions and the hidden patterns among the filled responses.",

keywords = "Clustering algorithm, Cyberbullying, CYBVIC, Data mining, Harassment, Clustering algorithm, Cyberbullying, CYBVIC, Data mining, Harassment",

author = "Marcos Orellana and Pablo Ar{\'e}valo and Alexandra Bermeo and Lima, \{Juan Fernando\} and \{Cedillo Orellana\}, \{Irene Priscila\} and Acosta-Uriguen, \{Maria Ines\}",

note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 8th International Congress on Information and Communication Technology, ICICT 2023 ; Conference date: 20-02-2023 Through 23-02-2023",

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doi = "10.1007/978-981-99-3236-8\_26",

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isbn = "978-9819932351",

volume = "4",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Xin-She Yang and Sherratt, \{R. Simon\} and Nilanjan Dey and Amit Joshi",

booktitle = "Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023",

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Orellana, M, Arévalo, P, Bermeo, A, Lima, JF, Cedillo Orellana, IP & Acosta-Uriguen, MI 2024, Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys. in X-S Yang, RS Sherratt, N Dey & A Joshi (eds), Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. vol. 4, Lecture Notes in Networks and Systems, vol. 696 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 331-340, 8th International Congress on Information and Communication Technology, ICICT 2023, London, United Kingdom, 20/02/23. https://doi.org/10.1007/978-981-99-3236-8_26

Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys. / Orellana, Marcos (First Author); Arévalo, Pablo; Bermeo, Alexandra et al.
Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. ed. / Xin-She Yang; R. Simon Sherratt; Nilanjan Dey; Amit Joshi. Vol. 4 Springer Science and Business Media Deutschland GmbH, 2024. p. 331-340 (Lecture Notes in Networks and Systems; Vol. 696 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys

AU - Orellana, Marcos

AU - Arévalo, Pablo

AU - Bermeo, Alexandra

AU - Lima, Juan Fernando

AU - Cedillo Orellana, Irene Priscila

AU - Acosta-Uriguen, Maria Ines

PY - 2024

Y1 - 2024

N2 - In latest years, harassment or abuse through mobile devices and the Internet has been on the rise. This issue, better known as cyberbullying, is crueler and more dangerous than the traditional ways of bullying, largely due to the anonymity on social media or the Internet possibly generating consequences across the person’s lifetime. Therefore, different approaches have been developed in the search of alerting, informing, and preventing about cyberbullying situations such as the creation of regulations, issuing laws, or promoting technological approaches. This paper aims to find relevant patterns by applying clustering techniques, and to accomplish this goal, the survey titled the scale of victimization among adolescents through mobile phones and Internet (CYBVIC) has been used allowing to measure behaviors of harassment, aggression and social exclusion. The results obtained by the clustering can be used to combat this social problem due to this analysis highlights the seven most important questions and the hidden patterns among the filled responses.

AB - In latest years, harassment or abuse through mobile devices and the Internet has been on the rise. This issue, better known as cyberbullying, is crueler and more dangerous than the traditional ways of bullying, largely due to the anonymity on social media or the Internet possibly generating consequences across the person’s lifetime. Therefore, different approaches have been developed in the search of alerting, informing, and preventing about cyberbullying situations such as the creation of regulations, issuing laws, or promoting technological approaches. This paper aims to find relevant patterns by applying clustering techniques, and to accomplish this goal, the survey titled the scale of victimization among adolescents through mobile phones and Internet (CYBVIC) has been used allowing to measure behaviors of harassment, aggression and social exclusion. The results obtained by the clustering can be used to combat this social problem due to this analysis highlights the seven most important questions and the hidden patterns among the filled responses.

KW - Clustering algorithm

KW - Cyberbullying

KW - CYBVIC

KW - Data mining

KW - Harassment

KW - Clustering algorithm

KW - Cyberbullying

KW - CYBVIC

KW - Data mining

KW - Harassment

UR - https://www.scopus.com/pages/publications/85174737223

U2 - 10.1007/978-981-99-3236-8_26

DO - 10.1007/978-981-99-3236-8_26

M3 - Contribución a la conferencia

AN - SCOPUS:85174737223

SN - 978-9819932351

VL - 4

T3 - Lecture Notes in Networks and Systems

SP - 331

EP - 340

BT - Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023

A2 - Yang, Xin-She

A2 - Sherratt, R. Simon

A2 - Dey, Nilanjan

A2 - Joshi, Amit

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th International Congress on Information and Communication Technology, ICICT 2023

Y2 - 20 February 2023 through 23 February 2023

ER -

Orellana M, Arévalo P, Bermeo A, Lima JF, Cedillo Orellana IP, Acosta-Uriguen MI. Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys. In Yang XS, Sherratt RS, Dey N, Joshi A, editors, Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. Vol. 4. Springer Science and Business Media Deutschland GmbH. 2024. p. 331-340. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-3236-8_26

Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Implementation and deployment of learning capsules to combat bullying and cyberbullying in children and adolescents.

Cite this

Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Implementation and deployment of learning capsules to combat bullying and cyberbullying in children and adolescents.

Cite this