Obesity in social media: a mixed methods analysis.

Area of Science:

• Public Health
• Social Media Analysis
• Health Communication

Background:

• Rising obesity rates in the USA necessitate innovative public health interventions.
• Social media platforms are increasingly utilized for health-related messaging and engagement.
• Understanding user-generated content is crucial for effective social media-based obesity prevention.

Purpose of the Study:

• To analyze social media interactions concerning weight and obesity.
• To identify prevalent themes and sentiments in online weight-related discourse.
• To inform public health strategies for obesity prevention using social media insights.

Main Methods:

• Mixed-methods analysis of 2.2 million social media posts over 60 days.
• Utilized social media monitoring services and Natural Language Processing (NLP) for data cleaning and theme identification.
• Qualitative analysis of selected posts to understand public dialogue and participation motivations.

Main Results:

• Twitter was the most common social media channel for weight-related discussions.
• Twitter and Facebook content frequently exhibited derogatory and misogynistic sentiment, indicating weight stigmatization.
• Blogs and forums presented more nuanced discussions, alongside themes of humor, education, and positive sentiment countering stereotypes.

Conclusions:

• Social media discourse on weight is complex, encompassing both negative stigma and positive counter-narratives.
• Identifying platform-specific sentiments is vital for tailoring obesity prevention campaigns.
• This research provides valuable insights into public attitudes and perceptions of weight, informing future public health practices.