Exploring the Impact of Social Media on Mental Health and Well-being: A Multi-dimensional Analysis

Ali, Vasit (2023) Exploring the Impact of Social Media on Mental Health and Well-being: A Multi-dimensional Analysis. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research uses advanced machine learning techniques to analyse the impact of demographic and various mental illness related variables on the diagnosis of depression, a critical issue in mental health. The dataset consists of responses from diverse demographics, focusing on factors such as birth year, state, gender, student status, and international student status. The methodology encompasses thorough data preprocessing, including label encoding and correlation analysis, followed by an exploratory data analysis utilizing histograms and pie charts for visual insights. Four machine learning models - Decision Tree, Random Forest, Support Vector Machine (SVM), and Convolutional Neural Network (CNN) – are implemented and evaluated. The models performance is assessed using accuracy, precision, recall, and F1-score metrics. This multi-model approach provides a holistic view of the data, revealing intricate patterns and associations between demographics and depression diagnosis. The findings indicate correlations between certain demographic characteristics and the likelihood of a depression diagnosis. This study not only contributes to the academic understanding of mental health factors but also has practical implications for healthcare policy and individualized interventions. It highlights the critical role machine learning in deciphering complex health-related data, offering a foundation for future research in this area. This research demonstrates the fusion of data science and mental health, opening avenues for more targeted and effective mental health strategies. By leveraging machine learning, it underscores the potential for data-driven approaches in enhancing our understanding and management of mental health issues.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Yaqoob, Abid UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning R Medicine > RA Public aspects of medicine > RA790 Mental Health Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	06 May 2025 17:56
Last Modified:	06 May 2025 17:56
URI:	https://norma.ncirl.ie/id/eprint/7490

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