Folksonomy: National Geographic Brazil image tagging analysis on Instagram

Abstract

Introduction: This paper analyzes the folksonomical practices adopted in the collection of photographic images of National Geographic Brasil, available on the social network Instagram. Objective: to verify to what extent the categories of documentary analysis of photographic images proposed by Manini (2002) are or are not contemplated in the research corpus. Methodology: Descriptive and exploratory study with a qualitative approach. A documentary analysis was performed on the 299 tags attributed by the users to the 38 images, resulting in a classification of the tags according to the categories of photographic image analysis proposed by Manini (2002). Results: The most present categories in the corpus were Generic Who / What (present in 23 images), Generic Where (present in 21 images) and About (present in 14 images). It was also identified the presence of labels that do not fit into the previously established categories, which could be classified as authorship and affectivity. Conclusions: The folksonomy adopted in the collection of National Geographic Brasil photographic images, available on the social network Instagram, presents plurality and some preference for the three categories mentioned above within the reference framework of image analysis proposed by Manini (2002). Additionally, the following types of labels that extrapolate the pre-established categories were found: authorship and affectivity.