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Image diversity analysis: context, opinion and bias

Record type: Conference or Workshop Item (Other)

The diffusion of new Internet and web technologies has increased the distribution of different digital content, such as text, sounds, images and videos. In this paper we focus on images and their role in the analysis of diversity. We consider diversity as a concept that takes into account the wide variety of information sources, and their differences in perspective and viewpoint. We describe a number of different dimensions of diversity; in particular, we analyze the dimensions related to image searches and context analysis, emotions conveyed by images and opinion mining, and bias analysis.

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Citation

Zontone, Pamela, Boato, Giulia, De Natale, F. G. B., De Rosa, Alessia, Barni, Mauro, Piva, Alessandro, Hare, Jonathan, Dupplaw, David and Lewis, Paul (2009) Image diversity analysis: context, opinion and bias At The First International Workshop on Living Web: Making Web Diversity a true asset, United States.

More information

Published date: 26 October 2009
Additional Information: Event Dates: 26 October 2009
Venue - Dates: The First International Workshop on Living Web: Making Web Diversity a true asset, United States, 2009-10-26
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 268168
URI: http://eprints.soton.ac.uk/id/eprint/268168
PURE UUID: 4d78a983-4ff6-48d1-a0b3-574c219a0671
ORCID for Jonathan Hare: ORCID iD orcid.org/0000-0003-2921-4283

Catalogue record

Date deposited: 30 Oct 2009 14:52
Last modified: 18 Jul 2017 06:56

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Contributors

Author: Pamela Zontone
Author: Giulia Boato
Author: F. G. B. De Natale
Author: Alessia De Rosa
Author: Mauro Barni
Author: Alessandro Piva
Author: Jonathan Hare ORCID iD
Author: David Dupplaw
Author: Paul Lewis

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