Storied numbers: Enhancing public opinion practices using digital media affordances

dc.contributor.advisor Mazalek, Ali
dc.contributor.author Robinson, Susan J.
dc.contributor.committeeMember DiSalvo, Carl
dc.contributor.committeeMember Bolter, Jay D.
dc.contributor.committeeMember Salmon, Charles T.
dc.contributor.committeeMember Davenport, Glorianna
dc.contributor.department Literature, Media, and Communication
dc.date.accessioned 2016-08-22T12:21:11Z
dc.date.available 2016-08-22T12:21:11Z
dc.date.created 2015-08
dc.date.issued 2015-07-27
dc.date.submitted August 2015
dc.date.updated 2016-08-22T12:21:11Z
dc.description.abstract This dissertation investigates how digital media affordances may be used to enhance public opinion practices by altering the ways in which opinions are gathered and represented in the media. Digital media affordances include the ease with which mobile devices can converge text, audio, video, and pictures; employ computational routines to deliver and tailor instruments; and use network connections to report data immediately. The investigation features two case studies designed to evaluate the acceptability and feasibility of novel technologies within a proposed model of public opinion production. One case study examines the acceptability and feasibility of an experimental mobile survey mode that tightly couples closed-ended items with open-ended video responses. The other case study explores the presentation of the media-rich dataset resulting from the mobile survey by means of an interactive tabletop surface in the context of a broadcast television public issues program. The results of these case studies demonstrate the acceptability and feasibility of these technologies in the public opinion domain and the utility of using interdisciplinary theory from social and computing sciences in the design and evaluation of systems, and provide directions for future research.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/55545
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Mobile surveys
dc.subject Public opinion
dc.subject Mixed-methods research
dc.subject Data storytelling
dc.subject Interactive surfaces
dc.subject Data visualization
dc.title Storied numbers: Enhancing public opinion practices using digital media affordances
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Literature, Media, and Communication
local.contributor.corporatename Ivan Allen College of Liberal Arts
relation.isOrgUnitOfPublication 43c73fdb-8114-4ef3-a162-dfddd66e3da5
relation.isOrgUnitOfPublication b1049ff1-5166-442c-9e14-ad804b064e38
thesis.degree.level Doctoral
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