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The Third Annual
Journal of Information Technology & Politics Conference
JITP 2011 Poster Presenter: Amoshaun Toft, University of Washington Title: "Leveraging computational social science by combining hyperlink and textual analyses: The case of online anti-human trafficking networks"
Amoshaun Toft's research centers on the space
between language use, technologies of communication, social
organization, and political action. His dissertation, “Social movement
communication: Language, technology, and social organization in an urban
homeless movement,” addressed the need for research that specifies how
participants use language as an organizing tool, mobilize digital
communication resources in organizing processes, and build social
organizations that can foster effective movement dynamics. He is
interested in what political actions “mean” to participants,
policymakers, and publics, how issue contexts structure political
affordances, and how activists use communication in the process of
organizing for social change. Areas of research interest include: media
studies, discourse and language, technology and society, organizational
communication, network studies, political communication, social
movements, poverty and homelessness, immigration, and human trafficking.
Abstract: The anti-human trafficking
movement has emerged as a dynamic collection of NGOs, businesses,
governmental, and international agencies. Similarly to actors in other
issue movements, anti-trafficking actors often employ web technologies
to represent their affiliations and offline actions. Two primary
approaches have become prominent in research on online issue movements:
textual analysis and hyperlink analysis. Textual analysis of website
content allows researchers to focus on a variety of rhetorical and
discursive elements, including the narrative dimensions of collective
action-- while computational network analysis of hyperlink formations
enables understanding of the structural-relational architecture of an
issue movement. However, few studies of large-scale online issue
networks have combined computational link analysis with methods that
require human interpretation, such as web real estate analysis or
narrative analysis.
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