Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube.

ABSTRACT:

Background

Common methods for extracting content in health communication research typically involve using a set of well-established queries, often names of medical procedures or diseases, that are often technical or rarely used in the public discussion of health topics. Although these methods produce high recall (ie, retrieve highly relevant content), they tend to overlook health messages that feature colloquial language and layperson vocabularies on social media. Given how such messages could contain misinformation or obscure content that circumvents official medical concepts, correctly identifying (and analyzing) them is crucial to the study of user-generated health content on social media platforms.

Objective

Health communication scholars would benefit from a retrieval pr

SUBMITTER: Tong C 

PROVIDER: S-EPMC9472050 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature