In:
PLOS ONE, Public Library of Science (PLoS), Vol. 18, No. 2 ( 2023-2-22), p. e0280423-
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0280423
DOI:
10.1371/journal.pone.0280423.g001
DOI:
10.1371/journal.pone.0280423.g002
DOI:
10.1371/journal.pone.0280423.g003
DOI:
10.1371/journal.pone.0280423.g004
DOI:
10.1371/journal.pone.0280423.g005
DOI:
10.1371/journal.pone.0280423.g006
DOI:
10.1371/journal.pone.0280423.g007
DOI:
10.1371/journal.pone.0280423.g008
DOI:
10.1371/journal.pone.0280423.t001
DOI:
10.1371/journal.pone.0280423.t002
DOI:
10.1371/journal.pone.0280423.s001
DOI:
10.1371/journal.pone.0280423.s002
DOI:
10.1371/journal.pone.0280423.s003
DOI:
10.1371/journal.pone.0280423.s004
DOI:
10.1371/journal.pone.0280423.s005
DOI:
10.1371/journal.pone.0280423.s006
DOI:
10.1371/journal.pone.0280423.s007
DOI:
10.1371/journal.pone.0280423.s008
DOI:
10.1371/journal.pone.0280423.s009
DOI:
10.1371/journal.pone.0280423.s010
DOI:
10.1371/journal.pone.0280423.s011
DOI:
10.1371/journal.pone.0280423.r001
DOI:
10.1371/journal.pone.0280423.r002
DOI:
10.1371/journal.pone.0280423.r003
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2023
detail.hit.zdb_id:
2267670-3
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