Data is being selected from multiple sources, those included:
  • Open available datasets from Kaggle or HuggingFace
  • Repository for social, behavioral, and health sciences research data
  • Governance platform
Data based on questions and responses has being selected for the purposes of this project:
  • Questions provide a structured format for collecting information, thus making it easier to organise. This structure allows for more standardised assessments.
  • Target specific aspects of mental health answers for all issues will be given for 3 categories of severity : not at risk, mild, severed risk
Limitations:
  • Ethical Considerations: mental health data requires a high level of sensitivity and inline to ethical guidelines to ensure user data privacy
  • Validation and Accuracy: questions used in the model are validated and have a strong correlation with established mental health conditions
  • Limitations of self-reporting: individuals may not always be fully aware of their mental health state or may under-report their symptoms due to various unknown reasons

Leveraging LLMs to understand Global Mental Health Well-being & Fomo in Social Media

Introduction

In the evolving realm of mental health, recognizing holistic well-being is paramount amid the intricacies of the knowledge economy. The growing significance of cognitive and emotional skills, essential for enduring competitiveness, extends beyond professional realms to empower a diverse, remote workforce and tackle complex mental health challenges like imposter syndrome. Conventional coaching methods fall short, prompting the need for an innovative approach. Tailored to elevate emotional intelligence, resilience, and more, this forward-looking solution seamlessly integrates diverse learning tools. It goes beyond norms, offering personalized strategies through spaced-out notifications, self-reflection, and community engagement. Serving as a comprehensive repository, it provides actionable "recipes" to guide individuals on unique journeys toward mental health goals. This pioneering approach aligns with the nuanced understanding of mental health in contemporary society, ushering in a transformative era.

Problem Statement

In today's digital age, where social media platforms like Facebook, Twitter, Instagram, and Snapchat have become integral to daily life, concerns about their impact on mental health are growing. As inherently social creatures, humans navigate a landscape where virtual connections coexist with real-world interactions. The role of social media in shaping mental well-being is scrutinized, with the potential to both enhance and undermine emotional health. The prevalent constant connectivity, curated content, and comparison culture on these platforms raise questions about their influence on stress, anxiety, depression, loneliness, and overall psychological well-being.

Recognizing holistic well-being is crucial in the evolving field of mental health amid the complexities of the knowledge economy. The increasing importance of cognitive and emotional skills, vital for enduring competitiveness, extends beyond professional realms to empower a diverse, remote workforce and address complex mental health challenges like imposter syndrome. Conventional coaching methods fall short, necessitating an innovative approach. Tailored to enhance emotional intelligence, resilience, and more, this forward-looking solution seamlessly integrates diverse learning tools. Going beyond conventional norms, it provides personalized strategies through spaced-out notifications, self-reflection, and community engagement. Functioning as a comprehensive repository, it offers actionable "recipes" to guide individuals on unique journeys toward mental health goals. This pioneering approach aligns with the nuanced understanding of mental health in contemporary society, ushering in a transformative era.

While social media serves as a powerful tool for communication, networking, and self-expression, its intricate relationship with mental health requires careful examination. Excessive use and the constant barrage of information, coupled with the pressure to present an idealized version of one's life, can contribute to feelings of inadequacy, FOMO (Fear of Missing Out), and social isolation. Additionally, cyberbullying and online harassment amplify the negative impact on mental health. There is a pressing need to comprehensively understand the nuances of this relationship, identifying both positive and negative aspects, and develop effective strategies to promote mental well-being in the digital age.

The proposed chatbot aims to address these challenges by providing a platform for users to express their feelings and concerns in a safe and confidential environment. It will analyze user inputs to identify signs of mental health issues, detect instances of cyberbullying and online harassment, and provide targeted interventions and resources. The chatbot will also foster positive interactions and maintain user engagement through its empathetic and responsive design. By continuously learning from each interaction, the chatbot will improve its ability to assess and respond to mental health issues over time. This innovative approach to mental health assessment represents a significant step forward in leveraging technology to promote mental well-being.

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Continued:

Objectives and Goals

  1. Conduct an in-depth analysis of the impact of social media on various aspects of mental health, including but not limited to stress, anxiety, depression, loneliness, and self-esteem.
  2. Identify patterns and trends in social media usage that correlate with positive or negative mental health outcomes.
  3. Explore the role of cyberbullying and online harassment in exacerbating mental health challenges on social media platforms.
  4. Develop targeted interventions and recommendations to mitigate negative mental health effects associated with social media use.
  5. Provide insights into fostering a healthier online environment, promoting positive interactions, and leveraging social media for mental well-being.

Learning Outcomes

  1. Analyzing the impact of social media on mental health through data collection and sentiment analysis.
  2. Identifying key factors contributing to positive or negative mental health outcomes in the context of social media use.
  3. Exploring the prevalence and effects of cyberbullying and online harassment on mental well-being.
  4. Developing actionable strategies and interventions to promote positive mental health in the digital realm.
  5. Understanding the ethical considerations and implications of addressing mental health challenges in the context of social media.


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