TY - GEN
T1 - Social computing for impact assessment of social change projects
AU - Diesner, Jana
AU - Rezapour, Rezvaneh
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Geo-cultural information
KW - Impact assessment
KW - Natural language processing
KW - Semantic networks
KW - Social justice
UR - https://www.scopus.com/pages/publications/84925308063
UR - https://www.scopus.com/pages/publications/84925308063#tab=citedBy
U2 - 10.1007/978-3-319-16268-3_4
DO - 10.1007/978-3-319-16268-3_4
M3 - Conference contribution
AN - SCOPUS:84925308063
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 34
EP - 43
BT - Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings
A2 - Xu, Kevin
A2 - Agarwal, Nitin
A2 - Osgood, Nathaniel
PB - Springer
T2 - 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015
Y2 - 31 March 2015 through 3 April 2015
ER -