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dc.contributor.advisorRees, David, 1949-eng
dc.contributor.authorOriez, Richard J.eng
dc.date.issued2009eng
dc.date.submitted2009 Springeng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on November 19, 2009).eng
dc.descriptionThesis advisor: David Rees.eng
dc.descriptionM.A. University of Missouri--Columbia 2009.eng
dc.description.abstractThis study uses a random public sample to measure the level of acceptance the public has of various kinds of image adjustment/manipulation, to discover how frequently the respondents believe the same manipulations are performed on the news images in the local daily newspaper and how much they trust those images to truthfully depict the scene photograph. The study also looks for a correlation between a person's familiarity with imaging software and that person's views on, or expectations of, digital manipulation of the news images. The findings indicate the public's acceptance of the various digital adjustments mirrors the profession's though the respondents were less accepting of burning and dodging. The findings also show that many of the readers believe drastic image manipulations are performed far more frequently than they actually are. No correlation was found between a person's familiarity with imaging software and the level of trust assigned to news images.eng
dc.description.bibrefIncludes bibliographical references.eng
dc.format.extentx, 97 pageseng
dc.identifier.merlinb73156929eng
dc.identifier.oclc467885606eng
dc.identifier.urihttps://doi.org/10.32469/10355/6551eng
dc.identifier.urihttps://hdl.handle.net/10355/6551
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2009 Theseseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subject.lcshPhotojournalismeng
dc.subject.lcshImage processing -- Digital techniques -- Public opinioneng
dc.subject.lcshMass media criticismeng
dc.subject.lcshVisual perceptioneng
dc.titleDo readers believe what they see? : reader acceptance of image manipulationeng
dc.typeThesiseng
thesis.degree.disciplineJournalism (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.A.eng


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