Exploring the link between suicidal ideation and digital environments: The hidden impact of marketing content

This paper explores the complex relationship between suicidal ideation and digital environments, with a particular focus on the hidden impact of marketing content. It aims to investigate how targeted advertising and algorithm-driven content can exacerbate mental health vulnerabilities among youth, potentially increasing suicide risk. Emphasizing the need to understand these digital influences, this study highlights the critical role of responsible marketing practices and platform accountability in safeguarding young users. Ultimately, it calls for further research to develop effective interventions within the evolving digital landscape.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-30
DOI
https://doi.org/10.5281/zenodo.17278430
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the link between suicidal ideation and digital environments: The hidden impact of marketing content

Zenodo (CERN European Organization for Nuclear Research)
Cell Image Analysis Techniques
article

Exploring the link between suicidal ideation and digital environments: The hidden impact of marketing content

article en

Abstract

This paper explores the complex relationship between suicidal ideation and digital environments, with a particular focus on the hidden impact of marketing content. It aims to investigate how targeted advertising and algorithm-driven content can exacerbate mental health vulnerabilities among youth, potentially increasing suicide risk. Emphasizing the need to understand these digital influences, this study highlights the critical role of responsible marketing practices and platform accountability in safeguarding young users. Ultimately, it calls for further research to develop effective interventions within the evolving digital landscape.

Zenodo (CERN European Organization for Nuclear Research)
University of Lancashire (GB), Daffodil International University (BD)
Openalex Percentile: Top 34%
Cell Image Analysis Techniques
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