Flickering Emotions-Reference-Cited by-同舟云学术

Flickering Emotions

Published:2017 Issue: Volume: Page:296-341
ISSN:2327-1981
Container-title:Social Media Data Extraction and Content Analysis
language:
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Author:

Hai-Jew Shalin¹^ORCID

Affiliation:

1. Kansas State University, USA

Abstract

Using the emotion words of Robert Plutchik's “Wheel of Emotions” (based on his multidimensional emotion model) as seeding terms to extract related tags networks (and related thumbnail imagery) from Flickr (at 1 deg., 1.5 deg., and 2 deg.), it is possible to formulate (1) insights about emotions and their interrelationships (through the lens of collective folksonomic tagging), (2) understandings about what the related tags in the networks may suggest about the image item holdings on Flickr, and (3) awareness of the collective mental models of the Flickr users regarding particular emotions, and (4) fresh methods of research to folk tagging through the extraction and analysis of related tags networks and related thumbnail imagery. This chapter introduces this case of analyzing related tags networks to more deeply understand public conceptualizations of emotions through data labels.

Publisher

IGI Global

Reference13 articles.

1. Folksonomy: The new way to serendipity.;N.Auray;Communications & Stratégies,2007

2. Begelman, G., Keller, P., & Smadja, F. (2006). Automated tag clustering: Improving search and exploration in the tag space. In Proceedings of the WWW 2006.

3. Cattuto, C., Benz, D., Hotho, A., & Stumme, G. (2008). Semantic analysis of tag similarity measures in collaborative tagging systems. arXiv:0805.2045v1

4. Gupta, M., Li, R., Yin, Z., & Han, J. (2011). An overview of social tagging and applications. Social Network Data Analytics, 447 – 497.

5. Machine Elf 1735. (2011, Feb. 12). Robert Plutchik’s Wheel of Emotions. Retrieved November 8, 2015, from https://commons.wikimedia.org/wiki/File:Plutchik-wheel.svg

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