Computational Assessment of the Impact of Social Justice Documentaries

Diesner, Jana; Pak, Susie; Kim, Jinseok; Soltani, Kiumars; Aleyasen, Amirhossein

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https://hdl.handle.net/2142/47312 Copy

Description

Title

Computational Assessment of the Impact of Social Justice Documentaries

Author(s)

• Diesner, Jana
• Pak, Susie
• Kim, Jinseok
• Soltani, Kiumars
• Aleyasen, Amirhossein

Issue Date

2014-03-01

Keyword(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.

Publisher

iSchools

Series/Report Name or Number

iConference 2014 Proceedings

Type of Resource

text

Language

english

Permalink

http://hdl.handle.net/2142/47312

DOI

https://doi.org/10.9776/14125

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Copyright 2014 is held by the authors of individual items in the proceedings. Copyright permissions, when appropriate, must be obtained directly from the authors.

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