Images in Social Media: Categorization and Organization of Images and Their Collections
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Images in Social Media : Categorization and Organization of Images and Their Collections . / Ørnager, Susanne; Lund, Haakon.
University of North Carolina, Chapel Hill : Morgan & Claypool Publishers LLC, 2018. 120 p. (Synthesis Lectures on Information Concepts, Retrieval, and Services; No. 1, Vol. 10).Research output: Book/Report › Book › Research › peer-review
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TY - BOOK
T1 - Images in Social Media
T2 - Categorization and Organization of Images and Their Collections
AU - Ørnager, Susanne
AU - Lund, Haakon
PY - 2018/1
Y1 - 2018/1
N2 - This book focuses on methodologies, organization and communication of digital image collection research that utilize social media content. (“Image” is here understood as cultural, conventional and commercial - stock photos - representations.) The lecture offer expert views that provide different interpretations of images and their potential implementations. Linguistic and semiotic methodologies as well as eye-tracking research are employed to both analyze images and comprehend how humans consider them, including which salient features generally attract viewer’s attention. This literary review covers image – specifically photographic - research since 2005, when major social media platforms emerged. A citation analysis includes an overview of co-citation maps that demonstrating the nexus of image research literature and the journals in which they appear. Eye-tracking test whether scholarly templates focus on the proper features of an image such as persons, object, time etc., and if a prescribed theme affects the eye movements of the observers. The results may point to renewed requirements for building image search engines. As it stands, image management already requires new algorithms and a new understanding that involves text recognition and very large database processing.The aim of this book is to present different image research areas and demonstrate the challenges image research faces. The book’s scope is by necessity far from being comprehensive, since the field of digital images does not cover fake news, image manipulation, mobile photos etc. these issues are very complex and need a publication of their own. This book should primarily be useful for students in library and information science, psychology, and computer science.
AB - This book focuses on methodologies, organization and communication of digital image collection research that utilize social media content. (“Image” is here understood as cultural, conventional and commercial - stock photos - representations.) The lecture offer expert views that provide different interpretations of images and their potential implementations. Linguistic and semiotic methodologies as well as eye-tracking research are employed to both analyze images and comprehend how humans consider them, including which salient features generally attract viewer’s attention. This literary review covers image – specifically photographic - research since 2005, when major social media platforms emerged. A citation analysis includes an overview of co-citation maps that demonstrating the nexus of image research literature and the journals in which they appear. Eye-tracking test whether scholarly templates focus on the proper features of an image such as persons, object, time etc., and if a prescribed theme affects the eye movements of the observers. The results may point to renewed requirements for building image search engines. As it stands, image management already requires new algorithms and a new understanding that involves text recognition and very large database processing.The aim of this book is to present different image research areas and demonstrate the challenges image research faces. The book’s scope is by necessity far from being comprehensive, since the field of digital images does not cover fake news, image manipulation, mobile photos etc. these issues are very complex and need a publication of their own. This book should primarily be useful for students in library and information science, psychology, and computer science.
KW - Faculty of Humanities
KW - Images
KW - social media
KW - image tags
KW - academic image domains
KW - image facets
KW - image indexing
KW - image guidelines
KW - image retrieval
KW - image literature review
KW - PRISMA
KW - Grounded Theory
KW - eye-tracking
KW - salient image features
KW - test image templates
KW - image citation analysis
KW - image management
KW - text recognition
KW - image literacy
KW - Images
KW - social media
KW - image tags
KW - academic image domains
KW - image facets
KW - image indexing
KW - image guidelines
KW - image retrieval
KW - image literature review
KW - PRISMA
KW - Grounded Theory
KW - Eye-tracking
KW - salient image features
KW - test image templates
KW - image citation analysis
KW - image management
KW - text recognition
KW - image literacy
U2 - 10.2200/S00821ED1V01Y201712ICR062
DO - 10.2200/S00821ED1V01Y201712ICR062
M3 - Book
SN - 9781681730790
SN - 9781681732770
T3 - Synthesis Lectures on Information Concepts, Retrieval, and Services
BT - Images in Social Media
PB - Morgan & Claypool Publishers LLC
CY - University of North Carolina, Chapel Hill
ER -
ID: 184916060