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Digital Connectivity and Mental Health Data
Mental Health & Wellness
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About
This dataset provides an exploration into the impact of social media usage on suicide rates, offering an analysis based on social media platform data and World Health Organisation (WHO) suicide rate statistics. It serves as an insightful resource for researchers, data scientists, and analysts seeking to understand the correlation between increased social media activity and suicide rates across various regions and demographics. The primary purpose is to present produced results and offer an overview of how social media influences life statistics.
Columns
The dataset includes the following key columns:
- Year: Represents the year of the recorded data. Data ranges from 2010 to 2019.
- Sex: A demographic indicator, primarily classifying data for males and females.
- Suicide Rate % Change Since 2010: Shows the percentage change in suicide rates compared to the year 2010. Data ranges from approximately 85.3% to 100%.
- Twitter User Count % Change Since 2010: Indicates the percentage change in Twitter user counts when compared to the year 2010. Values span from 100% to 630%.
- Facebook User Count % Change Since 2010: Details the percentage change in Facebook user counts relative to the year 2010. The range for this data is from 100% to 411%. The dataset also features categorised data ranges, known as 'data bins', which allow for the analysis of trends within specified intervals for suicide rates, Twitter user counts, and Facebook user counts. Additionally, it summarises counts for various intervals, aiding researchers in identifying trends and patterns over time.
Distribution
The dataset is provided in a CSV format, with the main data file being
social-media-impact-on-suicide-rates.csv, sized at 1.94 kB. Processed results and supplementary data are available in a compressed archive, Impact-of-social-media-on-suicide-rates-results-1.1.0.zip, which is 90.9 kB. The structure consists of 5 columns, with each column containing 30 valid records.Usage
This dataset is highly useful for studying potential social factors contributing to suicide rates, with a particular focus on the role of social media. Analysts can employ time-series analysis, regression models, or other statistical tools to derive meaningful insights. Specific applications include:
- Statistical analysis to understand correlations between social media usage and mental health outcomes.
- Academic research in fields such as public health, psychology, or sociology.
- Policy-making discussions aimed at addressing mental health concerns linked to social media.
Coverage
The dataset's scope is global, utilising WHO data export that tracks global suicide rates. It covers a time range from 2010 to 2019, with percentage changes for suicide rates and social media user counts calculated since 2010. Demographic coverage includes data disaggregated by 'Sex'.
License
Creative Commons Attribution Non-Commercial Share Alike 4.0 International (CC BY-NC-SA 4.0)
Who Can Use It
The dataset is intended for a broad audience, including:
- Researchers interested in the societal impact of digital platforms.
- Data scientists looking to apply analytical techniques to real-world public health challenges.
- Analysts seeking to explore correlations between social media activity and mental health outcomes.
- Academics in public health, psychology, or sociology departments for scholarly studies.
- Policy-makers involved in developing strategies to address mental health concerns related to social media.
Dataset Name Suggestions
- Impact of Social Media on Suicide Rates
- Social Media Influence on Suicide Trends
- Digital Connectivity and Mental Health Data
- Social Media Usage & Suicide Correlation
- Global Suicide Rates and Social Media Activity
Attributes
Original Data Source: Digital Connectivity and Mental Health Data
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