Supporting social innovation through visualisations of community interactions

Daniel Rough, Stefano De Paoli, Francesco Botto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Online communities that form through the introduction of socio-technical platforms require significant effort to cultivate and sustain. Providing open, transparent information on community behaviour can motivate participation from community members themselves, while also providing platform administrators with detailed interaction dynamics. However, challenges arise in both understanding what information is conducive to engagement and sustainability, and then how best to represent this information to platform stakeholders. Towards a better understanding of these challenges, we present the design, implementation, and evaluation of a set of simple visualisations integrated into a Collective Awareness Platform for Social Innovation platform titled commonfare.net. We discuss the promise and challenge of bringing social innovation into the digital age, in terms of supporting sustained platform use and collective action, and how the introduction of community visualisations has been directed towards achieving this goal.

Original languageEnglish
Title of host publicationC&T '19
Subtitle of host publicationProceedings of the 9th International Conference on Communities & Technologies - Transforming Communities
EditorsFlorian Cech, Hilda Tellioglu
PublisherAssociation for Computing Machinery (ACM)
Pages262-272
Number of pages11
ISBN (Electronic)9781450371629
DOIs
Publication statusPublished - Jun 2019
Event9th International Conference on Communities and Technologies, C and T 2019 - Vienna, Austria
Duration: 3 Jun 20197 Jun 2019

Conference

Conference9th International Conference on Communities and Technologies, C and T 2019
Country/TerritoryAustria
CityVienna
Period3/06/197/06/19

Keywords

  • Information visualisation
  • Social network analysis
  • Social science

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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