Abstract
Miami has been dubbed “New York South,” but how similar is the twitter attention of users in both locales? From archived tweets issued from Miami and Manhattan over a one-year period, an analysis is done in two stages. First, a random sampling from each city is used to compute weekly TRRs (topic related ratios) and perform collective attention analysis to identify hashtags favored in each city for that week. Second, these hashtags are used to retrieve related tweets from each locale, from which Social Media RFV (recency, frequency, value) metrics are computed and message length is examined for contraction trends (indicating excitement). By examining results obtained from each city’s dataset, similarities and differences in twitter usage can be obtained, likely reflecting underlying social sentiment in the two cities.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
"Communication Studies", " Twitter Metrics", " Language"
Digital Media
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