"Mental Health" as Defined by Twitter: Frames, Emotions, Stigma.

Area of Science:

• Social Sciences
• Computational Linguistics
• Public Health

Background:

• Public perception of mental health significantly impacts awareness campaigns and stigma reduction efforts.
• A disconnect between public understanding and campaign messaging may impede progress in mental health initiatives.
• Understanding dominant public frames is crucial for developing effective mental health communication strategies.

Purpose of the Study:

• To analyze the general public's framing of "mental health" using social media data.
• To critically assess the implications of identified public frames on mental health awareness and stigma.
• To identify dominant themes and patterns in mental health discourse online.

Main Methods:

• Frame analysis of 695,414 mental health-related tweets over 10 years.
• Utilized topic modeling and sentiment analysis to identify and categorize frames.
• Examined the salience and characteristics of seven identified mental health frames.

Main Results:

• Seven prominent frames identified: Awareness, Feelings/Problematization, Classification, Accessibility/Funding, Stigma, Service, and Youth.
• Mental health awareness is largely linked to mental illness, with health/well-being framing often lacking information quality.
• Discourse frequently problematizes social issues, externalizes anxieties, and focuses on popularized conditions like depression and anxiety, potentially delaying treatment.

Conclusions:

• Public framing of mental health often centers on illness rather than holistic well-being, requiring nuanced communication strategies.
• The 'Stigma' frame is less pronounced than expected, focusing on violence and fear, suggesting opportunities for reframing.
• Mental health discourse is politicized, particularly regarding gun laws and service funding, highlighting the need for evidence-based policy discussions.