2018
DOI: 10.1108/itp-02-2017-0029
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#IUseTwitterBecause: content analytic study of a trending topic in Twitter

Abstract: Purpose -The purpose of this paper is to propose a robust framework for assessing motivations to use Twitter. Drawing on previous studies, diffusion of innovations, unified theory of acceptance and use of technology, and uses and gratifications frameworks were incorporated to capture the variety in Twitter gratifications. Design/methodology/approach -This study explored the motivations to use Twitter through data mining and content analysis of #IUseTwitterBecause trending topic in Turkey. The sample was consis… Show more

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Cited by 25 publications
(22 citation statements)
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References 87 publications
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“…Finally, drawing upon recent studies considering consumer generated contents on social media as trustable source for consumer research that mainly focused on Twitter ( Aleti et al, 2019 , Athwal et al, 2019 , Dindar and Yaman, 2018 , Giglio et al, in press , Pantano and Stylos, 2020 , Walasek et al, 2018 ), our study adds new knowledge on the evaluation of Instagram posts as data source, by confirming that also this platform might provide useful insights for marketing research. In this way, our study further extends the few works ( Arora et al, 2019 , Casalo et al, 2020 , Riquelme et al, 2018 ), by describing how extracts consumers’ insights Instagram through new metrics and analytics, with emphasis on the specific sector of luxury brands.…”
Section: Discussionsupporting
confidence: 68%
See 1 more Smart Citation
“…Finally, drawing upon recent studies considering consumer generated contents on social media as trustable source for consumer research that mainly focused on Twitter ( Aleti et al, 2019 , Athwal et al, 2019 , Dindar and Yaman, 2018 , Giglio et al, in press , Pantano and Stylos, 2020 , Walasek et al, 2018 ), our study adds new knowledge on the evaluation of Instagram posts as data source, by confirming that also this platform might provide useful insights for marketing research. In this way, our study further extends the few works ( Arora et al, 2019 , Casalo et al, 2020 , Riquelme et al, 2018 ), by describing how extracts consumers’ insights Instagram through new metrics and analytics, with emphasis on the specific sector of luxury brands.…”
Section: Discussionsupporting
confidence: 68%
“…The analysis of spontaneous information generated online by consumers is largely acquiring scholars’ interest because it provides a reliable source of insights for consumer research ( Aleti et al, 2019 , Arora et al, 2019 , Athwal et al, 2019 , Klostermann et al, 2018 , Pantano and Stylos, 2020 , Tellis et al, 2019 , Villarroel Ordens et al, 2017 ), including the fashion industry ( Pantano and Stylos, 2020 , Walasek et al, 2018 ). Since the analyses of users’ generated contents on Facebook, Instagram, Twitter allow determining how and how much certain concepts are mentioned and associated with by consumers ( Walasek et al, 2018 ), analyzing specifically the contents provides deeper insights if compared with the traditional research based on surveys ( Dindar & Yaman, 2018 ). Similarly, Instagram is recognized by recent researches as a powerful image-sharing network, where users share evaluations about their experience with brands, products, etc., rather than just to document their lives through pictures ( Klostermann et al, 2018 ).…”
Section: Methodology Of Researchmentioning
confidence: 99%
“…Since many studies used traditional approaches, such as surveys, to understand consumers' motivation with relatively small sample sizes, the current study employs a data mining approach to collect data based on the content analysis of tweets. Recently published research has been increasingly utilizing Twitter as a source of data for consumer research, as this data emerge from the consumers' voluntary expression of interest and attitudes towards specific products and brands (Dindar & Yaman, 2018; Walasek, Bhatia, & Brown, 2018). In particular, content analysis allows for the frequency of certain concepts to be determined and is widely used to evaluate large amounts of online data communication via Twitter (Walasek et al, 2018).…”
Section: Methodology Of Researchmentioning
confidence: 99%
“…Twitter users had the highest scores among social platforms for being members of a brand community in the sense that they were open to connecting with brands on the platform (Phua et al., 2017). Other reasons for using Twitter are self‐expression, escapism, and social interaction—in addition to a desire to share a social and political agenda ( campaign gratification , Dindar & Yaman, 2018). Illustrating a novel reward, Junco et al.…”
Section: Forming Habits: Rewards For Social Media Usementioning
confidence: 99%