Most liked, fewest friends: Patterns of enterprise social media use

Gloria Mark, Ido Guy, Shiri Kremer-Davidson, Michal Jacovi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

Enterprise social media can provide visibility of users' actions and thus has the potential to reveal insights about users in the organization. We mined large-scale social media use in an enterprise to examine: a) user roles with such broad platforms and b) whether people with large social networks are highly regarded. First, a factor analysis revealed that most variance of social media usage is explained by commenting and 'liking' behaviors while other usage can be characterized as patterns of distinct tool usage. These results informed the development of a model showing that online network size interacts with other media usage to predict who is highly assessed in the organization. We discovered that the smaller one's online social network size in the organization, the more highly assessed they were by colleagues. We explain this inverse relationship as due to friending behavior being highly visible but not yet valued in the organization.

Original languageEnglish
Title of host publicationCSCW 2014 - Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages393-404
Number of pages12
ISBN (Print)9781450325400
DOIs
StatePublished - 1 Jan 2014
Externally publishedYes
Event17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014 - Baltimore, MD, United States
Duration: 15 Feb 201419 Feb 2014

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014
Country/TerritoryUnited States
CityBaltimore, MD
Period15/02/1419/02/14

Keywords

  • Collaboration
  • Enterprise
  • Factor analysis
  • Network size
  • Social media
  • Social media platform

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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