Healthfulness Assessment of Recipes Shared on Pinterest: Natural Language Processing and Content Analysis.

ABSTRACT:

Background

Although Pinterest has become a popular platform for distributing influential information that shapes users' behaviors, the role of recipes pinned on Pinterest in these behaviors is not well understood.

Objective

This study aims to explore the patterns of food ingredients and the nutritional content of recipes posted on Pinterest and to examine the factors associated with recipes that engage more users.

Methods

Data were collected from Pinterest between June 28 and July 12, 2020 (207 recipes and 2818 comments). All samples were collected via 2 new user accounts with no search history. A codebook was developed with a raw agreement rate of 0.97 across all variables. Content analysis and natural language processing sentiment analysis techniques were employed.<

SUBMITTER: Cheng X 

PROVIDER: S-EPMC8097524 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature