Social media analytics – Challenges in topic discovery, data collection, and data preparation

Stefan Stieglitz, Milad Mirbabaie, Björn Ross, Christoph Neuberger

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Since an ever-increasing part of the population makes use of social media in their day-to-day lives, social media data is being analysed in many different disciplines. The social media analytics process involves four distinct steps, data discovery, collection, preparation, and analysis. While there is a great deal of literature on the challenges and difficulties involving specific data analysis methods, there hardly exists research on the stages of data discovery, collection, and preparation. To address this gap, we conducted an extended and structured literature analysis through which we identified challenges addressed and solutions proposed. The literature search revealed that the volume of data was most often cited as a challenge by researchers. In contrast, other categories have received less attention. Based on the results of the literature search, we discuss the most important challenges for researchers and present potential solutions. The findings are used to extend an existing framework on social media analytics. The article provides benefits for researchers and practitioners who wish to collect and analyse social media data.
Original languageEnglish
Pages (from-to)156 - 168
Number of pages13
JournalInternational Journal of Information Management
Early online date22 Dec 2017
Publication statusPublished - 30 Apr 2018

Keywords / Materials (for Non-textual outputs)

  • Social media analytics
  • Social media
  • Information systems
  • Big data


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