  Social networking sites such as Twitter have provided a great opportunity for
organizations such as public libraries to disseminate information for public
relations purposes. However, there is a need to analyze vast amounts of social
media data. This study presents a computational approach to explore the content
of tweets posted by nine public libraries in the northeastern United States of
America. In December 2017, this study extracted more than 19,000 tweets from
the Twitter accounts of seven state libraries and two urban public libraries.
Computational methods were applied to collect the tweets and discover
meaningful themes. This paper shows how the libraries have used Twitter to
represent their services and provides a starting point for different
organizations to evaluate the themes of their public tweets.
