Place Marketing or Civic Information? Classifying Municipal Tweets using Machine Learning

Andreas Bergh (), Christina Anzén Ekman and Sara Moricz
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Andreas Bergh: Lund University and, Postal: Research Institute of Industrial Economics, Box 55665, SE-102 15 Stockholm, Sweden, https://www.ifn.se/en/researchers/ifn-researcher/andreas-bergh/
Christina Anzén Ekman: Lund University
Sara Moricz: Sensative

No 1563, Working Paper Series from Research Institute of Industrial Economics

Abstract: How do municipalities use social media? For place marketing, civic information, or dialogue with citizens? We address this question by classifying 35,930 tweets from 15 municipal Twitter accounts in the Skåne region of Sweden, using a machine learning algorithm trained on manually annotated data. Tweets are classified along two dimensions: whether they contain place marketing content and whether they contain civic information, yielding four categories. Our findings show that place marketing content declined substantially over the period studied, from nearly 40 percent of tweets in 2009 to just above 20 percent in 2018. In contrast, civic information and direct dialogue with citizens increased. These results suggest that the rise of social media has not trapped municipalities in a zero-sum place marketing arms race. Instead, municipalities appeared to be using Twitter increasingly as a channel for civic communication, with implications for how scholars and practitioners understand the evolving role of social media in place branding.

Keywords: Place marketing; Place branding; Social media; Municipalities; Machine learning; Twitter; Sweden (search for similar items in EconPapers)
JEL-codes: H83 M31 R58 (search for similar items in EconPapers)
Pages: 19 pages
Date: 2026-06-22
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:iuiwop:1563

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