Exploring Public Emotions on Obesity During the COVID-19Pandemic Using Sentiment Analysis and Topic Modeling:Cross-Sectional Study

被引:0
|
作者
Correia, Jorge Cesar [1 ,2 ]
Ahmad, Sarmad Shaharyar [3 ]
Waqas, Ahmed [4 ]
Meraj, Hafsa [5 ]
Pataky, Zoltan [1 ,2 ]
机构
[1] Univ Hosp Geneva, WHO Collaborating Ctr, Unit Therapeut Patient Educ, Chemin Venel 7, CH-1206 Geneva, Switzerland
[2] Univ Geneva, Chemin Venel 7, CH-1206 Geneva, Switzerland
[3] Liverpool Hope Univ, Sch Math Comp Sci & Engn, Liverpool, England
[4] Univ Liverpool, Inst Populat Hlth, Dept Primary Care & Mental Hlth, Liverpool, England
[5] Greater Manchester Mental Hlth NHS Fdn Trust, Salford, England
关键词
obesity; Twitter; infodemic; attitude; opinion; perception; perspective; obese; weight; overweight; social media; tweet; sentiment; topic modeling; BERT; Bidirectional Encoder Representations from Transformers; NLP; natural language processing; generalpublic; celebrities; WEIGHT STIGMA; OUTCOMES; IMPACT;
D O I
10.2196/52142
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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 toward obesity is essential for developing effective health policies, prevention strategies, and treatment approaches. Objective: This study investigated the sentiments of the general public, celebrities, and important organizations regarding obesity using social media data, specifically from Twitter (subsequently rebranded as X).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 the exchange of obesity-related comments between US politicians and criticism of theUnited Kingdom's obesity campaign. Topic modeling identified 243 clusters representing various obesity-related topics, such as childhood obesity; the US President's obesity struggle; COVID-19 vaccinations; the UK government's obesity campaign; body shaming; racism and high obesity rates among Black American people; 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
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页数:12
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