Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States.

ABSTRACT:

Objectives

The study sought to test the feasibility of using Twitter data to assess determinants of consumers' health behavior toward human papillomavirus (HPV) vaccination informed by the Integrated Behavior Model (IBM).

Materials and methods

We used 3 Twitter datasets spanning from 2014 to 2018. We preprocessed and geocoded the tweets, and then built a rule-based model that classified each tweet into either promotional information or consumers' discussions. We applied topic modeling to discover major themes and subsequently explored the associations between the topics learned from consumers' discussions and the responses of HPV-related questions in the Health Information National Trends Survey (HINTS).

Results

We collected 2 846 495 tweets and analyzed 335 681 geoco

SUBMITTER: Zhang H 

PROVIDER: S-EPMC7025367 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature