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Title:Computational Assessment of the Impact of Social Justice Documentaries
Author(s):Diesner, Jana; Pak, Susie; Kim, Jinseok; Soltani, Kiumars; Aleyasen, Amirhossein
Subject(s):impact assessment
social network analysis
natural language processing
social justice documentaries
Abstract:Documentaries are meant to tell a story, that is, to create memory, imagination and sharing (Rose, 2012). Moreover, documentaries aim to lead to change in people's knowledge and/ or behavior (Barrett & Leddy, 2008). How can we know if a documentary has achieved these goals? We report on a research project where we have been developing, applying and evaluating a theoretically-grounded, empirical and computational solution for assessing the impact of social justice documentaries in a scalable, robust and rigorous fashion. We leverage cutting-edge methods from socio-technical data analytics - namely natural language processing and network analysis - for this purpose and provide a publicly available technology (ConText) that supports these routines. In this paper, we focus on the theoretical foundations of this project, address our methodological and technical framework, and provide an illustrative example of the introduced solution.
Issue Date:2014-03-01
Publisher:iSchools
Citation Info:Diesner, J., Pak, S., Kim, J., Soltani, K., & Aleyasen, A. (2014). Computational Assessment of the Impact of Social Justice Documentaries. In iConference 2014 Proceedings (p. 462 - 483). doi:10.9776/14125
Series/Report:iConference 2014 Proceedings
Genre:Conference Paper / Presentation
Type:Text
Language:english
URI:http://hdl.handle.net/2142/47312
DOI:10.9776/14125
Other Identifier(s):125
Publication Status:published
Peer Reviewed:yes
Rights Information:Copyright 2014 is held by the authors of individual items in the proceedings. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2014-02-28


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