title: “Cyberbullying & Mental Health — One-Screen Dashboard” author: “Flemy Tom (S4138908)” output: flexdashboard::flex_dashboard: orientation: rows vertical_layout: fill
self_contained: true theme: cosmo css: | /* hard-stop page scrolling for 1080p / html, body { height: 100%; overflow: hidden; } / each top-level tab fills the screen / .section.level1 { height: 100vh; overflow: hidden; } / second-level sections (rows) fill remaining height under the tab header / .section.level2 { overflow: hidden; } / trim paddings for snug fit */ .chart-stage { padding: 6px; } .box { margin-bottom: 6px; } —

#INTRODUCTION

In the last decade, the way young people interact and communicate has shifted dramatically. Social media platforms, messaging apps, and online gaming spaces have opened new possibilities for self-expression and connection but they have also introduced new risks. Among them, cyberbullying has become one of the most alarming digital-age challenges, directly impacting the mental health and emotional well-being of millions of students worldwide.

Cyberbullying differs from traditional bullying because it follows victims beyond school walls. It can happen any time of day, often in private, and can reach a wide audience instantly. Studies by the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO) reveal a consistent link between online harassment and increased levels of anxiety, depression, and suicidal ideation among teenagers. In some countries, one in five adolescents reports being bullied online, and nearly the same proportion admits to experiencing feelings of sadness or hopelessness afterward.

This dashboard visualizes real public health data primarily from the CDC Youth Risk Behavior Surveillance (YRBS) datasets (1991–2023) to explore how cyberbullying correlates with mental health outcomes, including suicidal planning and attempts among adolescents. Using R-based visualizations, the analysis aims to show how these patterns have evolved over time and across genders, highlighting the urgent need for preventive strategies, digital education, and emotional resilience programs in schools.

Code

The following code was used to improve the original.

Rows: 500
Columns: 15
$ `Text Content`                                 <chr> "I hate you so much!", …
$ `Image Content`                                <chr> "Cyberbullying cartoon"…
$ `Video Content`                                <chr> "Harassment video", "In…
$ `User Metadata (Age, Gender, Location)`        <chr> "15, Female, XYZ city",…
$ `Engagement Metrics (Likes, Shares, Comments)` <chr> "174, 23, 47", "68, 89,…
$ Timestamp                                      <dttm> 2023-11-01 09:01:40, 2…
$ `Interaction Network (Friends, Followers)`     <chr> "256, 729", "119, 1052"…
$ `Sentiment Score`                              <dbl> -0.50, -0.73, -0.51, -0…
$ `Text Length`                                  <dbl> 122, 179, 74, 108, 81, …
$ `Image Features (Object, Color)`               <chr> "Middle Finger, Black",…
$ `Video Features (Action, Duration)`            <chr> "Threatening, 11 second…
$ `Content Type`                                 <chr> "Post", "Post", "Messag…
$ `Interaction Type (Language)`                  <chr> "Spanish", "Spanish", "…
$ `Reported Flag`                                <chr> "No", "Yes", "Yes", "No…
$ `Reporting Frequency`                          <dbl> 1, 6, 2, 2, 7, 1, 6, 7,…

References

The reference to the original data visualisation choose, the data source(s) used for the reconstruction and any other sources used for this assignment are as follows:

Campisi, S. C., Carducci, B., Akseer, N., Zasowski, C., Szatmari, P., & Bhutta, Z. A. (2020). Suicidal behaviours among adolescents from 90 countries: a pooled analysis of the global school-based student health survey. BMC Public Health, 20(1). https://doi.org/10.1186/s12889-020-09209-z

John, A., Glendenning, A. C., Marchant, A., Montgomery, P., Stewart, A., Wood, S., Lloyd, K., & Hawton, K. (2018). Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People: Systematic Review. Journal of Medical Internet Research, 20(4), e129. https://doi.org/10.2196/jmir.9044

Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 1073–1137. https://pubmed.ncbi.nlm.nih.gov/24512111/

YRBSS | Youth Risk Behavior Surveillance System | Data | Adolescent and School Health | CDC. (2020, October 27). Www.cdc.gov. https://www.cdc.gov/yrbs