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Mapping of Vulnerability Factors of Brazilian Adolescents on the Internet

Author

Listed:
  • Águeda Pacheco Melo Barreto

    (ChildFund Brazil)

  • Cristiano Silva Moura

    (ChildFund Brazil)

  • Maurício José Silva Cunha

    (ChildFund Brazil)

  • Hasheem Mannan

    (University College Dublin)

  • Marcos Flávio Silveira Vasconcelos D´Angelo

    (State University of Montes Claros)

  • Matheus Pereira Libório

    (State University of Montes Claros)

Abstract

Adolescents’ involvement with the Internet has become a growing concern, mainly due to their exposure to online sexual violence. The study uses mixed methods (k-means, discriminant analysis, logistic regression, and decision trees) to shed light on implicit behaviors and their relationship with online sexual violence among 8,436 adolescents, allowing inferences for all of Brazil. The results reveal that gender, hours online, age, and number of apps accessed are determining factors of sexual violence, which affects 45% of Brazilian adolescents. The age of adolescents is a key factor for developing effective public policies, given its correlation with the two most determinant factors in the occurrence of online sexual violence: hours online and the number of apps accessed. Adolescents aged 17 and 18 who use more than one app are 8.09 times more likely to experience sexual violence with online interaction than the average. The study’s findings contribute to developing efficient and targeted public policies on adolescent characteristics and Brazilian regions.

Suggested Citation

  • Águeda Pacheco Melo Barreto & Cristiano Silva Moura & Maurício José Silva Cunha & Hasheem Mannan & Marcos Flávio Silveira Vasconcelos D´Angelo & Matheus Pereira Libório, 2025. "Mapping of Vulnerability Factors of Brazilian Adolescents on the Internet," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 18(4), pages 1657-1683, August.
    • Handle: RePEc:spr:chinre:v:18:y:2025:i:4:d:10.1007_s12187-025-10254-6
    DOI: 10.1007/s12187-025-10254-6
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    References listed on IDEAS

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    1. Matheus Pereira Libório & Oseias da Silva Martinuci & Alexei Manso Correa Machado & Renata de Mello Lyrio & Patrícia Bernardes, 2022. "Time–Space Analysis of Multidimensional Phenomena: A Composite Indicator of Social Exclusion Through k-Means," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 569-591, January.
    2. Batool, Fatima & Hennig, Christian, 2021. "Clustering with the Average Silhouette Width," Computational Statistics & Data Analysis, Elsevier, vol. 158(C).
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