Testing visitor produced pictures as a management strategy to study visitor experience qualities – A Swedish marine case study

Hansen, Andreas Skriver

doi:10.1016/j.jort.2016.05.001

Cited by 16 publications

(15 citation statements)

References 31 publications

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“…As the economic and social significance of wildlife tourism and ecotourism continues to grow [5,[11][12][13], understanding the ecological and social interface of these experiences is critical for achieving long-term sustainability [14,15]. Effective management of wildlife tourism experiences should not only consider the views and perceptions of visitors but should also monitor for impacts on the wildlife that are targeted by these experiences [5,14,[16][17][18]. To achieve management of wildlife tourism that is both responsive and adaptive, it is necessary to have contemporaneous information relating both the visitor experience and the conditions under which the human-wildlife interactions occur [5,16,19].…”

Section: Discussionmentioning

confidence: 99%

“…Effective management of wildlife tourism experiences should not only consider the views and perceptions of visitors but should also monitor for impacts on the wildlife that are targeted by these experiences [5,14,[16][17][18]. To achieve management of wildlife tourism that is both responsive and adaptive, it is necessary to have contemporaneous information relating both the visitor experience and the conditions under which the human-wildlife interactions occur [5,16,19]. Such data is, however, often limited [5,9].…”

Section: Discussionmentioning

confidence: 99%

“…Traditionally, obtaining information on how tourists interact with wildlife in natural areas has involved methods such as surveys and interviews, which can be laborious, time-consuming and costly [13,15,16,[20][21][22][23]. The emerging techniques of modern citizen science and crowdsourcing data can provide an effective alternative to traditional, centralized research methods, particularly when resources and funding are limited [18,24].…”

Section: Discussionmentioning

confidence: 99%

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Preprint: Data from a Systematic Review of Crowdsourcing of Research Data from Wildlife Tourism Photographs and Comments Shared on Social Networking Sites

Simpson¹,

Walker²

2019

Preprint

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This data descriptor summarizes the process applied and data gathered from 50 publications/papers reporting on the use of photography generated by tourists, tour operators and members of the public, with a particular focus on the crowdsourcing of photographs through online platforms and social networking sites (SNSs) as a method of research for wildlife conservation and ecotourism. The papers were collected in a systematic literature review to inform a pilot study of the feasibility of using SNSs to crowdsource georeferenced photographs of endangered Bornean Pygmy Elephants (Elephas maximus borneensis) taken by ecotourists along the Lower Kinabatangan River region of Sabah, Malaysia. Papers were sourced using the Murdoch University Findit online-search tool to search over 100 databases, including Proquest, Scopus and Web of Science. The criteria for a paper to be included in the review (and shared via the dataset attached to this this data descriptor) were that it was peer-reviewed, published in English, between 1997 and the 31 December 2017, had the full text accessible online and reported on a study or studies that utilized photographs that tourists, tour operators and/or members of the public generated and shared via SNSs or online platforms.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Preprint: Data from a Systematic Review of Crowdsourcing of Research Data from Wildlife Tourism Photographs and Comments Shared on Social Networking Sites

Simpson¹,

Walker²

2019

Preprint

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“…Applying photovoice and tourist-generated photography to wildlife tourism research is opportunistic in drawing on the natural willingness of tourists to take and share photographs during a wildlife experience (Hansen 2016;Willemen, et al, 2015). Such photographs and accompanying narratives can then be used to answer questions about wildlife tourism experiences such as (1) ecological aspects of the target species, (2) the location of the wildlife and (3) circumstances under which the wildlife was appreciated and how tourists felt about the experience (Hansen 2016).…”

Section: Photography As a Research Methodsmentioning

confidence: 99%

“…Shared photographs, especially if geotagged (Orsi & Geneletti 2013;Oteros-Rozas, et al, 2017;Senaratne, et al, 2017), along with the comments of ecotourists, fall into the category of crowdsourced "volunteered geographic information" citizen science data (Eitzel, et al, 2017;Sieber & Haklay 2015: 1). Correspondingly, it is pertinent to appreciate that "photovoice", a technique originally used in anthropology to extract meaning from photographs, is a technique that is now being increasingly utilised in wildlife conservation and tourism research (e g. Wang & Burris 1997: 1;Tonge, et al, 2013;Hansen 2016;Willemen, et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Preprint: Crowdsourcing and Analysing Wildlife Tourism Data from Photographs Shared on Social Media

Walker¹,

Simpson²,

Teo³

et al. 2019

Preprint

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The first two decades of the 21st-century have seen the emergence of the modern citizen science movement, increased demand for niche eco and wildlife tourism experiences, and the willingness of people to voluntarily share information and photographs online. To varying extents, the rapid growth of these three phenomena has been driven by the availability of portable smart devices, access to the Web 2.0 internet from almost anywhere on the planet, and the development of applications and services, including social media/networking sites (SNSs). In addition, the number of peer-reviewed publications that explore how text and images shared on SNSs can be data-mined for academic research has surged in recent years. This systematic quantitative review has two goals. The first goal is to provide an oversight of how the photographs that ecotourists share online are contributing to wildlife tourism research. The second goal is to promote the emerging photovoice technique as a theoretical context for social research based on the photographs and comments that ecotourists share on SNSs. From the perspectives of community benefits, conservation behaviours, and environmental education, there are many similarities between authentic ecotourism experiences and quality ecological citizen science programs. Much of the literature regarding the theory and practice of citizen science reports on the difficulties of attracting, training, motivating and retaining community members. The synthesis of this review is that crowdsourcing wildlife and tourism data from comments and photographs that ecotourists share on SNSs is a credible method of research that provides a self-replenishing pool of citizen scientists.

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Visual Methods and Visual Analysis in Tourism Research

Lobinger¹,

Mele²

2021

Handbook of E-Tourism

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Testing visitor produced pictures as a management strategy to study visitor experience qualities – A Swedish marine case study

Cited by 16 publications

References 31 publications

Preprint: Data from a Systematic Review of Crowdsourcing of Research Data from Wildlife Tourism Photographs and Comments Shared on Social Networking Sites

Preprint: Data from a Systematic Review of Crowdsourcing of Research Data from Wildlife Tourism Photographs and Comments Shared on Social Networking Sites

Preprint: Crowdsourcing and Analysing Wildlife Tourism Data from Photographs Shared on Social Media

Visual Methods and Visual Analysis in Tourism Research

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