Billedindeksering og sociale medier

Susanne Ørnager, Haakon Lund
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Abstract

This article focuses on the methodologies, organization, and communication of digital image collection research that utilizes social media content. “Image” is here understood as a cultural, conventional, and commercial—stock photo—representation. Two methodologies i.e. PRISMA and Grounded Theory are employed to examine, categorize and analyze images and comprehend how humans consider them. The literature review covers research since 2005, when major social media platforms emerged. It demonstrates that the images on social media have not changed the overall direction of research into image indexing and retrieval, though new topics on crowdsourcing and tagging have emerged in it. A citation analysis includes an overview of co-citation maps that demonstrate the nexus of image research literature and the journals in which they appear. The results point to new possibilities influencing the research by providing large image collections as new testbeds for improving or testing research hypothesis on a new scale.
本文重点介绍了利用社交媒体内容的数字图像收集研究的方法、组织和交流。“图像”在这里被理解为一种文化的、传统的、商业的照片表现形式。两种方法,即PRISMA和扎根理论被用来检查,分类和分析图像,并理解人类如何看待它们。文献综述涵盖了2005年以来的研究,当时主要的社交媒体平台出现了。这表明社交媒体上的图片并没有改变图像索引和检索研究的总体方向,尽管其中出现了关于众包和标签的新主题。引文分析包括对共引图的概述,这些图展示了图像研究文献和它们出现的期刊之间的联系。通过提供大型图像集作为在新的规模上改进或测试研究假设的新试验台,结果指出了影响研究的新可能性。
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