2017
DOI: 10.1002/jcpy.1012
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Positional Goods and the Social Rank Hypothesis: Income Inequality Affects Online Chatter about High‐ and Low‐Status Brands on Twitter

Abstract: According to a social rank hypothesis, consumers who live in regions with higher income inequality will show greater interest in, and attention toward, positional goods and high-status brands that serve a social signaling role. We analyze millions of posts on the microblogging platform Twitter for mentions of high-and low-status brands. We find that luxury brands such as "Louis Vuitton" and "Rolex" are more frequently mentioned in tweets originating from US states, counties, and major metropolitan areas with h… Show more

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Cited by 72 publications
(67 citation statements)
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References 22 publications
(26 reference statements)
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“…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%
“…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%
“…We examine this question by exploring how childhood socioeconomic status (SES) shapes reactions to everyday brands. Defined in contrast to luxury brands, everyday brands are ordinary, commonplace, and inexpensive (McFerran, Aquino, & Tracy, ; Tynan, McKechnie, & Chhuon, ; Walasek, Bhatia, & Brown, ); consequently, we suggest they should be associated with the material norm and as such, may threaten the self‐esteem of consumers who grew up poor. This hypothesis is supported with a pilot study and two experiments.…”
mentioning
confidence: 89%
“…This hypothesis is supported with a pilot study and two experiments. In doing so, this work contributes to a small but growing body of work that expands the consumer socialization literature by examining the impact of childhood SES on adult consumer behavior (Ahuvia & Wong, 2002;Connell, Brucks, & Nielsen, 2014;Mittal & Griskevicius, 2016;Richins & Chaplin, 2015) and offers novel insights to the branding literature, which tends to overlook brands that are "everyday, pedestrian, and seemingly unimportant" (Coupland, 2005, p. 115) or relegate them to the control condition in studies of luxury brands (e.g., McFerran et al, 2014;Walasek et al, 2018).…”
mentioning
confidence: 99%
“…Within the health‐related subreddits, fitness tracker terms were most frequently mentioned in the weight‐management subreddit (r/loseit), which can be interpreted as a higher interest in fitness trackers in this community (e.g., Walasek et al, ). As r/loseit was indicated to be the health‐related subreddit with the most frequent mentions of body terms, the findings suggest that fitness tracker interest is particularly high in people with a high interest in the body.…”
Section: Discussionmentioning
confidence: 99%
“…As text‐mining can address these limitations, its strength is as a complementary technique, and as a way to methodologically triangulate findings obtained through more ‘traditional’ techniques (e.g., surveys). While ‘mentions’ of fitness trackers cannot be assumed to reflect their usage, they can be interpreted as an indication of interest (e.g., Walasek, Bhatia, & Brown, ).…”
Section: Introductionmentioning
confidence: 99%