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Flickering Emotions: Feeling-Based Associations from Related Tags Networks on Flickr

Flickering Emotions: Feeling-Based Associations from Related Tags Networks on Flickr
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Author(s): Shalin Hai-Jew (Hutchinson Community College, USA)
Copyright: 2017
Pages: 46
Source title: Social Media Data Extraction and Content Analysis
Source Author(s)/Editor(s): Shalin Hai-Jew (Hutchinson Community College, USA)
DOI: 10.4018/978-1-5225-0648-5.ch010

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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.

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