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2023 | OriginalPaper | Buchkapitel

A Spatial Analysis of the Instagram Hashtag #happy: An Assessment of Toronto

verfasst von : Eric Vaz

Erschienen in: Geography of Happiness

Verlag: Springer International Publishing

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Abstract

The advances in smartphones have allowed a pervasive creation of media content. In the case of Instagram, this digital content is image often with a charge of emotional content, allowing by means of textual analysis of specific hashtags to better understand subjective emotional states of users. I explore the use of Instagram, a leading photo-sharing application, to analyze the sentiment analysis of georeferenced data aligned to perception of happiness. This is achieved by images with a given hashtag related to textual interpretation of the state of subjective well-being. These hashtags are then geocoded, allowing conducting a spatially explicit exploratory assessment. (i) A first spatial construct is presented looking at the spatial autocorrelation patterns at global and local level. (ii) Following this, a land use analysis is carried forth as to understand the morphology of land use in the region. (iii) Finally, I construct a land use accounting proxy by means of correlation coefficients using Kendall tau-b correlation. The research is framed within the importance of adding large datasets of social media to the social sciences with geographical analysis offering a new definition for regional science.

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Fußnoten
1
A hashtag is a word or an unspaced phrase prefixed with the number sign (“#”). Used as a metadata tag, it is a common practice in microblogging and social mediaing services such as Instagram, Twitter, and Faceboook.
 
2
selfie (noun): an image that includes oneself (often with another person or as part of a group) and is taken by oneself using a digital camera especially for posting on social networks (in Merriam-Webster (https://​www.​merriam-webster.​com/​dictionary/​selfie, consulted on: Oct 17, 2022).
 
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Metadaten
Titel
A Spatial Analysis of the Instagram Hashtag #happy: An Assessment of Toronto
verfasst von
Eric Vaz
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-19871-7_2