BACKGROUND
Obesity is a chronic, multifactorial and relapsing disease, affecting people of all ages worldwide and is directly related to multiple complications. Understanding public attitudes and perceptions towards obesity is essential for developing effective health policies, prevention strategies, and treatment approaches.
OBJECTIVE
This study investigates the sentiments of the general public, celebrities, and important organizations regarding obesity using social media data, specifically from Twitter.
METHODS
The study analyzes a dataset of 53,414 tweets related to obesity posted on Twitter during the COVID-19 pandemic, from April 2019 to December 2022. Sentiment analysis was performed using the XLM-Roberta-base model, and topic modeling was conducted using the BERTopic library.
RESULTS
The analysis revealed that tweets regarding obesity were predominantly negative. Spikes in Twitter activity correlated with significant political events, such as negative comments on President Trump's obesity struggle and Boris Johnson's criticized obesity campaign. Ben Shapiro's remarks on not vaccinating people with obesity for COVID-19 also sparked outrage.
Topic modeling identified 243 clusters representing various obesity-related topics, such as childhood obesity, President Trump's obesity struggle, COVID-19 vaccinations, Boris Johnson's obesity campaign, body shaming, racism and high obesity rates among Black Americans, smoking, substance abuse, and alcohol consumption among people with obesity, environmental risk factors, and surgical treatments.
CONCLUSIONS
Twitter serves as a valuable source for understanding obesity-related sentiments and attitudes among the public, celebrities, and influential organizations. Sentiments regarding obesity were predominantly negative.
Negative portrayals of obesity by influential politicians and celebrities were shown to contribute to negative public sentiments, which can have adverse effects on public health. It is essential for public figures to be mindful of their impact on public opinion and the potential consequences of their statements.