Impact of Social Media and AI on Facilitating or Preventing Cyber Sexual Exploitation among Teenagers

Social media has changed the way adolescents communicate and interact, but it has also posed serious risks, particularly in the area of child abuse and online exploitation. This study sheds light on social media and the key factors contributing to child abuse and these risks, while also highlighting strategies to mitigate them. By examining empirical research, legal frameworks, and intervention programs, this study provides a comprehensive view of how digital platforms enable and combat child abuse. The findings underscore the urgent need for strong policies, improved parental controls, and advanced technological safeguards to create a safe online environment for children. Additionally, in today’s digital age, academic literacy, particularly regarding artificial intelligence, is essential for teenagers. Through this research, students will gain a deeper understanding of AI and its role in online safety. Ultimately, the study aims to protect vulnerable youth by informing the development of intervention strategies and resources. Objectives: To understand Artificial Intelligence and Social Media in Promoting or Reducing Teen Cyber Sexual Exploitation (CSE). To create a more secure internet environment for teenagers. Methodology: A qualitative method is used in this research because this study deals with how teenagers perceive sexual harassment and what level of awareness they have about cyber-sexual exploitation. Conclusion: This study underlines that to effectively address cyber-sexual exploitation in the digital area, schools, parents, and technology developers must work together.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-05
DOI
https://doi.org/10.52783/jisem.v10i32s.5218
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of Social Media and AI on Facilitating or Preventing Cyber Sexual Exploitation among Teenagers

Jafersadhiq. A Selvi.S
Journal of Information Systems Engineering & Management
Hate Speech and Cyberbullying Detection
article

Impact of Social Media and AI on Facilitating or Preventing Cyber Sexual Exploitation among Teenagers

Jafersadhiq. A Selvi.S
article en

Abstract

Social media has changed the way adolescents communicate and interact, but it has also posed serious risks, particularly in the area of child abuse and online exploitation. This study sheds light on social media and the key factors contributing to child abuse and these risks, while also highlighting strategies to mitigate them. By examining empirical research, legal frameworks, and intervention programs, this study provides a comprehensive view of how digital platforms enable and combat child abuse. The findings underscore the urgent need for strong policies, improved parental controls, and advanced technological safeguards to create a safe online environment for children. Additionally, in today’s digital age, academic literacy, particularly regarding artificial intelligence, is essential for teenagers. Through this research, students will gain a deeper understanding of AI and its role in online safety. Ultimately, the study aims to protect vulnerable youth by informing the development of intervention strategies and resources. Objectives: To understand Artificial Intelligence and Social Media in Promoting or Reducing Teen Cyber Sexual Exploitation (CSE). To create a more secure internet environment for teenagers. Methodology: A qualitative method is used in this research because this study deals with how teenagers perceive sexual harassment and what level of awareness they have about cyber-sexual exploitation. Conclusion: This study underlines that to effectively address cyber-sexual exploitation in the digital area, schools, parents, and technology developers must work together.

Journal of Information Systems Engineering & ManagementVol. 10(32s)
Openalex Percentile: Top 97%
Hate Speech and Cyberbullying Detection
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