Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys
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 conseque...
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| Format: | ARTÍCULO DE CONFERENCIA |
| Language: | es_ES |
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Springer Nature
2024
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| Online Access: | http://dspace.ucuenca.edu.ec/handle/123456789/44180 https://www.scopus.com/record/display.uri?eid=2-s2.0-85174737223&doi=10.1007%2f978-981-99-3236-8_26&origin=inward&txGid=b989da3f37c67652fb0806f64368f848 |
| _version_ | 1793400624759439360 |
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| author | Cedillo Orellana, Irene Priscila |
| author_facet | Cedillo Orellana, Irene Priscila |
| author_sort | Cedillo Orellana, Irene Priscila |
| collection | DSpace |
| description | 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. |
| format | ARTÍCULO DE CONFERENCIA |
| id | oai:dspace.ucuenca.edu.ec:123456789-44180 |
| institution | Universidad de Cuenca |
| language | es_ES |
| publishDate | 2024 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | oai:dspace.ucuenca.edu.ec:123456789-441802024-03-08T13:48:29Z Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys Cedillo Orellana, Irene Priscila Data mining Clustering algorithm Cyberbullying CYBVIC Harassment 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. Londres 2024-03-08T13:48:24Z 2024-03-08T13:48:24Z 2023 ARTÍCULO DE CONFERENCIA 978-981993235-1 2367-3370 http://dspace.ucuenca.edu.ec/handle/123456789/44180 https://www.scopus.com/record/display.uri?eid=2-s2.0-85174737223&doi=10.1007%2f978-981-99-3236-8_26&origin=inward&txGid=b989da3f37c67652fb0806f64368f848 10.1007/978-981-99-3236-8_26 es_ES application/pdf Springer Nature Proceedings of Eighth International Congress on Information and Communication Technology |
| spellingShingle | Data mining Clustering algorithm Cyberbullying CYBVIC Harassment Cedillo Orellana, Irene Priscila Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys |
| title | Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys |
| title_full | Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys |
| title_fullStr | Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys |
| title_full_unstemmed | Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys |
| title_short | Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys |
| title_sort | application of data mining clustering for patterns analysis of cyberbullying surveys |
| topic | Data mining Clustering algorithm Cyberbullying CYBVIC Harassment |
| url | http://dspace.ucuenca.edu.ec/handle/123456789/44180 https://www.scopus.com/record/display.uri?eid=2-s2.0-85174737223&doi=10.1007%2f978-981-99-3236-8_26&origin=inward&txGid=b989da3f37c67652fb0806f64368f848 |
| work_keys_str_mv | AT cedilloorellanairenepriscila applicationofdataminingclusteringforpatternsanalysisofcyberbullyingsurveys |