A Network-Based Indicator of Travelers Performativity on Instagram

Giordano, Giuseppe; Primerano, Ilaria; Vitale, Pierluigi

doi:10.1007/s11205-020-02326-7

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…This workflow for collecting data leads to a number of sampling effects. Firstly, user groups on Flickr and Instagram are not universally representative, despite having covered together about one billion users in 2017 [ 42 ]. Secondly, filters for space, time and language lead to further intra-dataset biases.…”

Section: Methodsmentioning

confidence: 99%

From sunrise to sunset: Exploring landscape preference through global reactions to ephemeral events captured in georeferenced social media

et al. 2023

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Events profoundly influence human-environment interactions. Through repetition, some events manifest and amplify collective behavioral traits, which significantly affects landscapes and their use, meaning, and value. However, the majority of research on reaction to events focuses on case studies, based on spatial subsets of data. This makes it difficult to put observations into context and to isolate sources of noise or bias found in data. As a result, inclusion of perceived aesthetic values, for example, in cultural ecosystem services, as a means to protect and develop landscapes, remains problematic. In this work, we focus on human behavior worldwide by exploring global reactions to sunset and sunrise using two datasets collected from Instagram and Flickr. By focusing on the consistency and reproducibility of results across these datasets, our goal is to contribute to the development of more robust methods for identifying landscape preference using geo-social media data, while also exploring motivations for photographing these particular events. Based on a four facet context model, reactions to sunset and sunrise are explored for Where, Who, What, and When. We further compare reactions across different groups, with the aim of quantifying differences in behavior and information spread. Our results suggest that a balanced assessment of landscape preference across different regions and datasets is possible, which strengthens representativity and exploring the How and Why in particular event contexts. The process of analysis is fully documented, allowing transparent replication and adoption to other events or datasets.

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Section: Methodsmentioning

confidence: 99%

From sunrise to sunset: Exploring landscape preference through global reactions to ephemeral events captured in georeferenced social media

et al. 2023

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“…This work, starting from a well experimented innovative approach on previous studies , Giordano et al, 2020, makes the choice to analyze the images in their textual translation, with a fully automatic analytical pipeline, designed in a semiotic point of view. Besides the semiotic interest to digital media date back to the early 2000s and continues to the present days, considering digital media a specific semiotic field (Cosenza 2014, Bianchi e Cosenza 2020.…”

Section: End-to-end System Evaluationmentioning

confidence: 99%

ItaGLAM: A corpus of Cultural Communication on Twitter during the Pandemic

Nolano¹,

Carlino²,

Buono³

et al. 2020

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

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“…Instagram and other social media already become a new environment for people to have social interaction [17], but Instagram itself has amazing growth comparing to others [18]. The interactions in social media adapted from real life interactions such following, friending, sharing, mentioning, and many others shows how information flows in social media [19], [20]. The importance of information flow makes Social Network Analysis (SNA) paved its way to become a popular tool to analyze structure of social media network in the past years [17], [21]- [25].…”

Section: Introductionmentioning

confidence: 99%

Tourism on Instagram: A Social Network Analysis

Tahalea

Salouw²,

Wibowo

2022

BAREKENG: J. Il. Mat. & Ter.

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This research aims to analyze and describe the development of tourism in Maluku Province, Indonesia on Instagram. The data used in this study are hashtags from several excellent tourist attractions or tourist priorities set by the maluku province tourism office. The data is then processed using social network analysis to find the level of importance and connectedness of tourism hashtags with other hashtags used in image captions on Instagram posts. The results showed that there are nine hashtags that have an important role in the network because they have high values in the measurement of degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. The hashtags are #maluku, #ambon, #natsepa, #pulauosi, #pulaubair, #beach, #repost, #indonesia, and #namalatu. Two of nine hashtags have a high betweenness centrality value, namely #natsepa that represent natsepa beach tourism and #namalatu that represents namalatu beach tourism. Both of these tours have a high value betweenness centrality with a different form of hashtags, namely #natsepa.id and #namalatu02. This research conducted using social network analysis degree measurements such as degree, betweeness, closeness, and eigenvector to analyze insight of tourism topics in Instagram. The result of this research can give insights to the tourism actors, especially in Maluku Province, of how the hashtags are connected and related. The relation of the hashtags can be used as social media marketing strategy.

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A Network-Based Indicator of Travelers Performativity on Instagram

Cited by 6 publications

References 19 publications

From sunrise to sunset: Exploring landscape preference through global reactions to ephemeral events captured in georeferenced social media

From sunrise to sunset: Exploring landscape preference through global reactions to ephemeral events captured in georeferenced social media

ItaGLAM: A corpus of Cultural Communication on Twitter during the Pandemic

Tourism on Instagram: A Social Network Analysis

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