R: Collecting and analyzing Twitter data
This session would provide an in-depth introduction to working with Twitter's REST and Stream APIs to gather and analyze publicly available Twitter data. The session will provide an overview of the available APIs along with step-by-step examples of searching for tweets and users; retrieving user timelines, favorites, followers and friends; looking up statuses and users; and live-streaming statuses via keyword tracking, following users and random sampling. Featured in the session will be the rtweet package, the updated successor package to the popular [but deprecated] twitteR package.
You will need a Twitter account for this class. You will be shown how to create a Twitter app, but can also learn about the process at: http://rtweet.info/articles/auth.html
This session is good for: Anyone interested in collecting, analyzing, or understanding the strengths and limitations of Twitter data. You don't need a working knowledge of APIs.
Mike Kearney (@kearneymw) is an assistant professor of Journalism Studies at the Missouri School of Journalism. His research examines selective exposure and partisanship using computational social scientific methods. He has a joint appointment in the Informatics Institute where he teaches courses for the Data Science and Analytics M.S.
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