Abstract

Abstract In this paper we report research results investigating microblogging as a form of electronic word‐of‐mouth for sharing consumer opinions concerning brands. We analyzed more than 150,000 microblog postings containing branding comments, sentiments, and opinions. We investigated the overall structure of these microblog postings, the types of expressions, and the movement in positive or negative sentiment. We compared automated methods of classifying sentiment in these microblogs with manual coding. Using a case study approach, we analyzed the range, frequency, timing, and content of tweets in a corporate account. Our research findings show that 19% of microblogs contain mention of a brand. Of the…

Citation impact

1,642
total citations
FWCI
173.73
Percentile
100%
References
52
Citations per year

Authors

4

Topics & keywords

Keywords
  • Microblogging
  • Social media
  • Computer science
  • Coding (social sciences)
  • Sentiment analysis
  • Natural language processing
  • Advertising
  • World Wide Web
No related works found for this paper.