SICYAPMLMar 24, 2018

Social Media Analysis For Organizations: Us Northeastern Public And State Libraries Case Study

arXiv:1803.09133v116 citations
Originality Synthesis-oriented
AI Analysis

This provides a starting point for organizations, such as public libraries, to evaluate their social media themes, but it is incremental as it applies existing methods to new data.

The study tackled the problem of analyzing large volumes of social media data by applying computational methods to over 19,000 tweets from nine public libraries in the northeastern U.S., revealing how these libraries use Twitter to represent their services.

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.

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