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Studying the Live Cross-Platform Circulation of Images With Computer Vision API: An Experiment Based on a Sports Media Event


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Studying the Live Cross-Platform Circulation of Images With Computer Vision API: An Experiment Based on a Sports Media Event
 
2. Creator Author's name, affiliation, country Carlos d'Andrea; Federal University of Minas Gerais, Brazil; Brazil
 
2. Creator Author's name, affiliation, country André Mintz; Federal University of Minas Gerais, Brazil; Brazil
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) digital methods, cross-platform, computer vision, media event
 
4. Description Abstract

This article proposes a novel digital methods approach for studying the cross-platform circulation of images, taking these as traffic tags connecting topics across platforms and the open Web. To that end, it makes use of a computer vision API (Google Cloud Vision) to perform automated content-based image searches. The method is experimented on with an analysis of the circulation of pictures shared on Twitter during the 2018 FIFA World Cup Final Draw ceremony. The proposed approach showed high potential for overcoming linguistic and geographical barriers in Internet research by its use of nonverbal objects for cross-linking online content. Moreover, the analysis of the results raised important questions about the opacity of the employed API mechanisms and the limitations imposed by platformization processes for cross-platform endeavors, calling for continued reflexivity in derived studies.
 
5. Publisher Organizing agency, location USC Annenberg School for Communication & Journalism
 
6. Contributor Sponsor(s) CAPES Foundation (postdoc scholarship, Process 88881.119913/2016-01, and PhD sholarship); CNPq (edital Universal 2016); Fapemig (Demanda Universal 2016)
 
7. Date (YYYY-MM-DD) 2019-04-14
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://ijoc.org/index.php/ijoc/article/view/10423
 
11. Source Title; vol., no. (year) International Journal of Communication; Vol 13 (2019)
 
12. Language English=en en
 
13. Relation Supp. Files Figure 1 (485KB)
Figure 2 (3MB)
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14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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