Crowd social media computing: Applying crowd computing techniques to social media

Nafaâ Jabeur, Ahmed Nait-Sidi-Moh, Sherali Zeadally

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Social media producers are currently having a fierce competition worldwide to increase their revenues. To achieve this goal, they are investigating alternative ways to attract more users, generate new user activities, and collect valuable data for personalizing contents and services. One such alternative is crowd computing. Our vision is based on the great potential of a well-coordinated and controlled joint utilization of human intelligence and computer systems that can help solve problems that would be difficult to do with individual capabilities alone. To achieve this vision, which we summarize under our concept of crowd social media computing, we investigate and model the characteristics of the social media ecosystem, we discuss the characteristics of crowd computing, and then we demonstrate how crowd computing can play a pivotal role in emerging social media applications. We also propose a new approach to evaluate the impact of crowd computing on the issue of social media Return of Investment (ROI).

Original languageEnglish
Pages (from-to)495-505
Number of pages11
JournalApplied Soft Computing Journal
StatePublished - May 2018

Bibliographical note

Publisher Copyright:
© 2017 Elsevier B.V.


  • Audience engagement
  • Crowd computing
  • Return of investment
  • Social media

ASJC Scopus subject areas

  • Software


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