A bibliometric analysis of the impact of media manipulation on adolescent mental health: Policy recommendations for algorithmic transparency

Alfonso Pellegrino 1, Alessandro Stasi 2 *
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1 SASIN Graduate Institute of Business Administration, Chulalongkorn University, Bangkok, THAILAND
2 Business Administration Division, Mahidol University International College, Salaya, THAILAND
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 14, Issue 4, Article No: e202453. https://doi.org/10.30935/ojcmt/15143
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ABSTRACT

This bibliometric study examines the relationship between media manipulation and adolescent mental health, analyzing 101 articles published from 2016 to 2024. The research reveals a significant increase in attention post-2016, with the United States, Spain, Australia, and Italy leading contributions. Using PRISMA guidelines and VOSviewer for keyword co-occurrence and co-citation mapping, three main research clusters are identified: cognitive dynamics of misinformation, digital literacy, and the social implications of misinformation. The study emphasizes the need for multidisciplinary efforts to enhance digital literacy and develop informed policy interventions. Findings advocate for proactive strategies to mitigate the negative effects of digital misinformation on youth, including policy reforms for effective content moderation and greater transparency in algorithmic processes. Additionally, the study highlights the importance of context-aware AI systems and better access to mental health services to address the psychological impacts of media manipulation on adolescents. These efforts are essential for fostering a sustainable digital environment that supports the mental well-being of young people.
Keywords: media manipulation, adolescent mental health, bibliometric analysis, sustainable digital environment, public policy

CITATION

Pellegrino, A., & Stasi, A. (2024). A bibliometric analysis of the impact of media manipulation on adolescent mental health: Policy recommendations for algorithmic transparency. Online Journal of Communication and Media Technologies, 14(4), e202453. https://doi.org/10.30935/ojcmt/15143

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