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THE SOCIAL MEDIA IMAGE: MODES OF VISUAL ORDERING ON SOCIAL MEDIA

HOCHMAN, NADAV (2015) THE SOCIAL MEDIA IMAGE: MODES OF VISUAL ORDERING ON SOCIAL MEDIA. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

My dissertation considers the organization of large sets of user-generated photographs across social media platforms, and delineates the ways in which time and place are mediated through their presentation and analyses. Addressing the unprecedented scale of social media visual expressions, together with their implementation, structure and presentation within specific media platforms, I examine how visual social media data is processed, structured, and presented, and theorize the consequences of these forms for the ways we culturally understand and experience contemporary visual information.
Taking an integrated approach, this work offers a qualitative and quantitative analysis, and draws on methodologies from media theory, information science, software studies, art history, cultural studies, and computer science. I combine distant critical reading of larger organizational patterns and their cultural meanings (studying visual arrangement in exiting platforms, experimental computational research, and artistic works) with a close analytical reading of groups of photos, using computational and visualization tools. This twin process allows me to develop my theoretical understanding based on particular results, but also illustrates the problem that is the focus of this dissertation: how to understand new visual production scales, their organizations, and their interpretation.

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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
HOCHMAN, NADAVh.nadav@gmail.com
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairSmith, Terrytes2@pitt.eduTES2
Committee MemberBowker, Geof
Committee MemberMcCloskey, Barbarabmcc@pitt.eduBMCC
Committee MemberEllenbogen , Josh
Date: 24 September 2015
Date Type: Publication
Defense Date: 26 March 2015
Approval Date: 24 September 2015
Submission Date: 22 June 2015
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 201
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > History of Art and Architecture
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Social media, social media image, social photography, visualization, big data, big visual data
Date Deposited: 24 Sep 2015 22:43
Last Modified: 15 Nov 2016 14:28
URI: http://d-scholarship.pitt.edu/id/eprint/25448

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