Social computing for impact assessment of social change projects

Jana Diesner, Rezvaneh Rezapour

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

Abstract

One problem that both philanthropic foundations and scientific organizations have recently started to tackle more seriously is assessing the societal impact of the work they are funding by going beyond traditional methods and metrics. In collaboration with makers and funders of social justice information products, we have been leveraging social computing techniques for practical impact assessment. In this paper, we identify which of the main impact goals as defined in the social change domain can be assessed by using our computational solution, illustrate our approach with an empirical case study, and compare our findings to those that can be obtained with traditional methods. We find that our solution can complement and enhance the findings and interpretations that can be obtained with standard techniques used in the given application domain, especially when applying data mining techniques to natural language text data, such as representations of public awareness, dialogue and engagement around various issues in their cultural contexts.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings
EditorsKevin Xu, Nitin Agarwal, Nathaniel Osgood
PublisherSpringer-Verlag
Pages34-43
Number of pages10
ISBN (Electronic)9783319162676
DOIs
StatePublished - Jan 1 2015
Event8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 - Washington, United States
Duration: Mar 31 2015Apr 3 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9021
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015
CountryUnited States
CityWashington
Period3/31/154/3/15

Keywords

  • Geo-cultural information
  • Impact assessment
  • Natural language processing
  • Semantic networks
  • Social justice

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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