Predicting age groups of Twitter users based on language and metadata features.

ABSTRACT: Health organizations are increasingly using social media, such as Twitter, to disseminate health messages to target audiences. Determining the extent to which the target audience (e.g., age groups) was reached is critical to evaluating the impact of social media education campaigns. The main objective of this study was to examine the separate and joint predictive validity of linguistic and metadata features in predicting the age of Twitter users. We created a labeled dataset of Twitter users across different age groups (youth, young adults, adults) by collecting publicly available birthday announcement tweets using the Twitter Search application programming interface. We manually reviewed results and, for each age-labeled handle, collected the 200 most recent publicly available tweets and

SUBMITTER: Morgan-Lopez AA 

PROVIDER: S-EPMC5574558 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature