From 2,772 segments to five personas: Summarizing a diverse online audience by generating culturally adapted personas

Joni Salminen, Sercan Şengün, Haewoon Kwak, Bernard Jansen, Jisun An, Soon Gyo Jung, Sarah Vieweg, D. Fox Harrell

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

Understanding users in the era of social media is challenging, requiring organizations to adopt novel computation-aided approaches. To exemplify such an approach, we retrieved information on millions of interactions with YouTube video content from a major Middle Eastern media outlet, to automatically generate personas that capture how different audience segments interact with thousands of individual content pieces. Then, we used qualitative data to provide additional insights into the automatically generated persona profiles. Our findings provide insights into social media usage in the Middle East and demonstrate the application of a novel methodology that generates culturally adapted personas of social media audiences, summarizing complex social analytics data into human portrayals that are easy to understand by end users in real organizations.

Original languageEnglish (US)
Article number1
JournalFirst Monday
Volume23
Issue number6
StatePublished - Jun 1 2018

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All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications

Cite this

Salminen, J., Şengün, S., Kwak, H., Jansen, B., An, J., Jung, S. G., Vieweg, S., & Harrell, D. F. (2018). From 2,772 segments to five personas: Summarizing a diverse online audience by generating culturally adapted personas. First Monday, 23(6), [1].