North American park agencies’ evolving use of Twitter: A content analysis of 2014 and 2017 tweets

Halpenny, Elizabeth; Blye, Sara-Jane

doi:10.2305/iucn.ch.2017.parks-23-2eh.en

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…From an epistemological perspective, content analysis can be divided into qualitative and quantitative content analysis. In contrast to qualitative approaches where human readers examine text and images for patterns through repeated, systematic readings of the same data (Halpenny and Blye, 2017; MacKay et al , 2017), quantitative content analysis uses statistical methods to infer from the text by applying substitution and correlational methods (Stepchenkova et al , 2009). Quantitative content analysis has received special attention in recent years because of the exponential growth of electronic and online data such as that found on SM platforms and virtual communities.…”

Section: Social Media Analytics: An Integrated Definitionmentioning

confidence: 99%

Social media analytics in hospitality and tourism

Mirzaalian¹,

Halpenny

2019

JHTT

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Purpose The purpose of this paper is to provide a review of hospitality and tourism studies that have used social media analytics to collect, examine, summarize and interpret “big data” derived from social media. It proposes improved approaches by documenting past and current analytic practice addressed by the selected studies in social media analytics. Design/methodology/approach Studies from the past 18 years were identified and collected from five international electronic bibliographic databases. Social media analytics-related terms and keywords in the titles, keywords or abstracts were used to identify relevant articles. Book chapters, conference papers and articles not written in English were excluded from analysis. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) guided the search, and Stieglitz and Dang-Xuan’s (2013) social media analytics framework was adapted to categorize methods reported in each article. Findings The research purpose of each study was identified and categorized to better understand the questions social media analytics were being used to address, as well as the frequency of each method’s use. Since 2014, rapid growth of social media analytics was observed, along with an expanded use of multiple analytic methods, including accuracy testing. These factors suggest an increased commitment to and competency in conducting comprehensive and robust social media data analyses. Improved use of methods such as social network analysis, comparative analysis and trend analysis is recommended. Consumer-review networks and social networking sites were the main social media platforms from which data were gathered; simultaneous analysis of multi-platform/sources of data is recommended to improve validity and comprehensive understanding. Originality/value This is the first systematic literature review of the application of social media analytics in hospitality and tourism research. The study highlights advancements in social media analytics and recommends an expansion of approaches; common analytical methods such as text analysis and sentiment analysis should be supplemented by infrequently used approaches such as comparative analysis and spatial analysis.

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Section: Social Media Analytics: An Integrated Definitionmentioning

confidence: 99%

Social media analytics in hospitality and tourism

Mirzaalian¹,

Halpenny

2019

JHTT

Self Cite

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“…This includes comparing how people feel about parks, including those living close by, as well as those based further away (Pickering & Norman, 2020;Bhatt & Pickering, 2021;Mangachena & Pickering, 2021). Twitter is also used by news organisations, government management agencies, tourism operators and others to inform people about specific parks, with some of these accounts with millions of followers (Halpenny & Blye, 2017;Orellana-Rodriguez & Keane, 2018;Leetaru, 2019;Norman, 2020;Pickering & Norman, 2020).…”

Section: Introductionmentioning

confidence: 99%

Values of Mountain Landscapes: Insights About the Blue Mountains National Park, Australia from Twitter

Pickering

Norman

Rossi

2022

Human-Nature Interactions

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Significance StatementPeople engage with nature in a range of ways, including sharing their experiences, values and concerns about specific landscapes on social media. For instance, on Twitter, governments, news, conservation, management, tourism and other organizations, as well as individuals share short 280-character microblogs (tweets) about a range of issues. We assessed public debate on Twitter about the Blue Mountains National Park in Australia to illustrate the benefits, but also limitations and concerns with the use of this, still novel, method for public engagement. Using a quantitative analysis of the tweets-content we identified common topics and emotions, including similarities and differences between the tweets posted by Australians and those from other countries regarding this globally important and popular mountain landscapes.

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Public Perceptions about Nepalese National Parks: A Global Twitter Discourse Analysis

Bhatt

Pickering

2021

Society & Natural Resources

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North American park agencies’ evolving use of Twitter: A content analysis of 2014 and 2017 tweets

Cited by 5 publications

References 21 publications

Social media analytics in hospitality and tourism

Social media analytics in hospitality and tourism

Values of Mountain Landscapes: Insights About the Blue Mountains National Park, Australia from Twitter

Public Perceptions about Nepalese National Parks: A Global Twitter Discourse Analysis

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