Qualitative Analysis of Social Media Historical Data: A Case Study of Twitter and Tourism Boycotts

Shaheer, Ismail; Carr, Neil; Insch, Andrea

doi:10.1108/978-1-80117-550-020221009

Cited by 2 publications

(6 citation statements)

References 27 publications

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“…The data required to understand the in-depth qualitative interpretation around tourism and Twitter can be done with a small sample as compared to quantitative studies (Shaheer, 2019). Further, for qualitative analysis, the hashtags are sufficient if applying a hands-on approach and inductive coding (Shaheer et al, in press). Thus, the research flowchart (Figure 2) used is stimulated by the methodological framework of Shaheer et al (in press) and the “preprocessing” stage of Tran et al (2018: 375).…”

Section: Methodsmentioning

confidence: 99%

“…Further, for qualitative analysis, the hashtags are sufficient if applying a hands-on approach and inductive coding (Shaheer et al, in press). Thus, the research flowchart (Figure 2) used is stimulated by the methodological framework of Shaheer et al (in press) and the “preprocessing” stage of Tran et al (2018: 375). In the preprocessing stage, the hashtags are normalised for better grouping by understanding abbreviations, punctuations, misspellings, and ambiguous terms (Tran et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

“…The profiles not specific to Rishikesh as a location were not included in the data analysis. 3072 hashtags from 607 remaining tweets were sorted into 43 emerged attributes (hashtags) (Table 2) using inductive coding (Shaheer et al, in press). “An inductive coding process is a data-driven approach, which is ideal to capture rich information when there is limited information available” (Shaheer et al, 2021: 5).…”

Section: Methodsmentioning

confidence: 99%

“…Using summative content analysis, the frequency of each word was recorded against its category. This was done on two levels, as suggested by Shaheer et al (in press). The first step is the manifest level analysis.…”

Section: Methodsmentioning

confidence: 99%

“…The manifest analysis of the hashtags was followed by latent analysis(an interpretive analysis which categorises the identified attributes using inductive coding.) This is essential to segregate the attributes that can then be associated with existing literature to assist in interpreting results (Shaheer et al, in press). Next, the identified attributes were sorted into significant themes associated with the destination (i.e.…”

Section: Methodsmentioning

confidence: 99%

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Can destination image be ascertained from social media? An examination of Twitter hashtags

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The role of Twitter hashtags in creating destination images is under-researched, and there is limited understanding of their usefulness in destination promotion. This paper examines the destination image of Rishikesh, India, based on an analysis of relevant tweets during the decade 2009–2019. The hashtags of resident, domestic and international Twitter users (about Rishikesh, India) were compared with the images of Rishikesh promoted by the relevant Regional Tourism Organisation (RTO: Uttarakhand Tourism) to identify and analyse any similarities or differences in the destination image promotion. The findings suggest that ‘yoga’ and ‘Ganges’ were the most prominent images associated with Rishikesh. However, the efforts of the RTO regarding promoting Rishikesh also focus on hashtags featuring adventure. This adventure image is also used by Indian Twitter users, whereas the residents and international Twitter users were less likely to use adventure-related hashtags that much. However, though residents, Indian and international Twitter users used almost similar natural landscape-related hashtags, RTO uses them unsubstantially. The results emphasise the importance of, and potential for, selected experiential and interpersonal hashtags when promoting destination images via Twitter, thus maximising the potential for destination marketing through this platform. At last, a hashtag strategy for destination promotion is also proposed based on the findings of this paper for focused exposure and increased searchability.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Can destination image be ascertained from social media? An examination of Twitter hashtags

Nautiyal

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2022

Tourism and Hospitality Research

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What is sustainable tourism in social media? Evidence from tweets

Jiang

2023

Problems and Perspectives in Management

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Social media is an essential tool and channel for tourism industry research. It has created significant value for tourism consumption, management, and trends. However, rare scientific achievements uncover sustainable tourism on Twitter, a famous social media worldwide. Therefore, this study aims to conceptualize sustainable tourism from the social media perspective. Based on 2,201 tweets, the study uses Nvivo12.0 to encode content thematically to explore the connotations and concepts of sustainable tourism. The study identified three crucial dimensions: tourism for sustainable development, sustainable tourism management, and sustainable tourism types. Tourism for sustainable development aims to promote the positive effects of sustainable practices in the tourism industry on various areas of life, economy, society, and environment. Moreover, its content serves for the better development in the future. Sustainable tourism management focuses on industries, leaders, experts, programs, and sectors. In addition, the study categorized sustainable tourism by entity, purpose, destination, and mode to determine the type of sustainable tourism. The paper helps to inspire stakeholders in the tourism industry to understand and pay attention to the content in the post-Covid-19 era and also provides recommendations for the tourism market, the tourism sector, and tourism consumers.

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Qualitative Analysis of Social Media Historical Data: A Case Study of Twitter and Tourism Boycotts

Cited by 2 publications

References 27 publications

Can destination image be ascertained from social media? An examination of Twitter hashtags

Can destination image be ascertained from social media? An examination of Twitter hashtags

What is sustainable tourism in social media? Evidence from tweets

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