Accepted for/Published in: JMIR Public Health and Surveillance
Date Submitted: Apr 25, 2020
Date Accepted: Aug 10, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Do You Eat Healthily? A Descriptive and Predictive Analysis of YouTube Video Comments on Healthy Eating
ABSTRACT
Background:
Poor nutrition and food selection lead to health issues such as obesity, cardiovascular disease, diabetes, and cancer.
Objective:
This study of YouTube comments aims to uncover the reasons behind and patterns of food choices, in addition to exploring the sentiments of healthy eating in networked communities.
Methods:
This paper applied the text mining technique to identify and categorise meaningful healthy eating determinants. These determinants were then incorporated into hypothetically-defined constructs that reflect their thematic and sentimental nature in order to test our proposed model using a variance-based structural equation modelling procedure.
Results:
People hold complex and multifaceted beliefs about healthy eating in the context of YouTube videos. Fruits and vegetables are the epitome of healthy foods. Despite having a favourable perception of healthy eating, people may not purchase commonly recognised healthy food if it has a premium price. Weight concerns are what people associate healthy eating with. Food taste, variety, and availability are identified as the reasons why Malaysians cannot act on eating healthily.
Conclusions:
This study offers significant value to the existing literature of health-related studies by investigating the rich and diverse social media data gleaned from YouTube. This research integrated text mining analytics with predictive modelling techniques to identify thematic constructs and to analyse the sentiments of healthy eating.
Citation
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Copyright
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