2018
DOI: 10.3390/su10020382
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Comparing Social Media Data and Survey Data in Assessing the Attractiveness of Beijing Olympic Forest Park

Abstract: Abstract:Together with the emerging popularity of big data in numerous studies, increasing theoretical discussions of the challenges and limitations of such data sources exist. However, there is a clear research gap in the empirical comparison studies on different data sources. The goal of this paper is to use "attractiveness" as a medium to examine the similarity and differences of Social media data (SMD) and survey data in academic research, based on a case study of the Beijing Olympic Forest Park, in Beijin… Show more

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Cited by 44 publications
(27 citation statements)
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“…The approach of using content analysis method for converting topic models to factors which can be validated for an inferential theoretical model, has not been attempted in existing literature. Since we used social media sites such as Twitter for data collection instead of data collected from survey forms, therefore its approach presents a novelty in itself when applied to connect methodologies for theory building which are otherwise disconnected in existing literature (Wang et al 2018 ; Buntain et al 2016 ; Grover et al 2018 ). These methods have never been connected for validating inferential models based on user generated content, and this approach is another major contribution in this study.…”
Section: Discussionmentioning
confidence: 99%
“…The approach of using content analysis method for converting topic models to factors which can be validated for an inferential theoretical model, has not been attempted in existing literature. Since we used social media sites such as Twitter for data collection instead of data collected from survey forms, therefore its approach presents a novelty in itself when applied to connect methodologies for theory building which are otherwise disconnected in existing literature (Wang et al 2018 ; Buntain et al 2016 ; Grover et al 2018 ). These methods have never been connected for validating inferential models based on user generated content, and this approach is another major contribution in this study.…”
Section: Discussionmentioning
confidence: 99%
“…Social media data also cover large samples and social media platforms are used to post and share the thoughts and daily activities of social media users [6]. Several studies have compared survey data and social media data [73,74]. This study selected a survey and social media data for comparison.…”
Section: Methodsologymentioning
confidence: 99%
“…Furthermore, e-tools can operate on different scales, from micro to macro or local to global, and thereby potentially support local to global governance [26,42]. Examples of this scale flexibility include studies focused on social media derived volunteered geographic information which is used to monitor visitation, attractiveness, and environmental justice aspects of UGI from a single green space [43], to city-wide urban green infrastructures [44,45], to global quantification of nature-based tourism and recreation [46].…”
Section: The Potential Of E-tools In An Ugi Governance Perspectivementioning
confidence: 99%