Analyzing Cultural Assimilation through the Lens of Yelp Restaurant Reviews

Author(s):  
Zaiqian Chen ◽  
Joonsuk Park
1991 ◽  
Vol 8 (1) ◽  
pp. 83-97
Author(s):  
Mazen Hashem

AbstractThe influx of Muslim immigrants into America has become steady inthe last decade, a development which raises the need for a theoretical outlookdelineating a model of an Islamic-controlled process of assimilation.Using Gordon’s model of assimilation, the paper suggests an Islamicposition regarding each of his seven types and stages of assimilation.In respect to cultural assimilation, the paper advocates an interactiveprocess of assimilation on the level of extrinsic cultural traits. Such a processutilizes six filtration procedures regarding different kinds of American culturalartifacts. But on the level of intrinsic cultural traits, the paper suggests acounterassimilation position, and considers it a cornerstone in keeping theoriginality of Islam.As to identificational assimilation, the paper defines Islamic boundariesrelevant to each of its three components: ethnic, national, and racial.The paper discusses behavior-receptional and attitude-receptional typesof assimilation in light of patterns of behavior that affect such reciprocity.The paper argues that civic assimilation is a crucial area where much ofthe Muslim community’s efforts could be invested.Finally, the paper briefly discusses marital assimilation and structuralassimilation.IntroductionAssimilation is an important subject that deserves careful considerationfrom minorities, marginal groups, and immigrants. The position of a groupon assimilation has far-reaching effects on its present and future, as well ...


2019 ◽  
Author(s):  
Spoorthi C ◽  
Dr. Pushpa Ravikumar ◽  
Mr. Adarsh M.J

2020 ◽  
Vol 8 (1) ◽  
pp. 64-85
Author(s):  
Anna Boch ◽  
Tomás Jiménez ◽  
Katharina Roesler

Assimilation theories posit that cultural change is part and parcel of the assimilation process. That change can register in the symbols and practices that individuals invoke as part of an ethnic experience. But cultural change also includes the degree to which the mainstream takes up those symbols and practices as part of its composite culture. We develop a way to examine whether cuisine, an important component of ethnic culture, is part of the mainstream’s composite culture and the contextual factors associated with the presence of ethnic cuisine in the composite culture. We begin with a comparison of 761,444 reviews of Mexican, Italian, Chinese, and American restaurants across the United States from Yelp!, an online customer review platform. We find that reviews of Mexican restaurants mention ethnicity and authenticity much more than reviews of Italian and American restaurants, but less than reviews of Chinese restaurants, suggesting intermediate mainstreaming of Mexican cuisine. We then examine Mexican restaurant reviews in the 82 largest U.S. core-based statistical areas (CBSAs) to uncover the contextual factors associated with Mexican cuisine’s local mainstream presence. We find that Mexican food is less defined in ethnic terms in CBSAs with larger and more culturally distinct Mexican populations and at less-expensive restaurants. We argue that regional versions of the composite culture change as ethnic groups come to define a region demographically and culturally.


2021 ◽  
Vol 27 (1) ◽  
pp. 25-42
Author(s):  
Breno de Paula Andrade Cruz ◽  
Susana C. Silva ◽  
Steven Dutt Ross

Purpose – The social TV phenomenon has raised the interest of some researchers in studying the production of online reviews. However, little is known about the characteristics of reviewers that, without having had indeed a real experience of consumption, still dare to assess the service. The purpose of this research is to understand these reviewers better, using an experiment conducted in Brazil. Design/methodology/approach – Through a cluster analysis with 2547 reviewers of 7 restaurants that participated in a reality show in Brazil, we were able to create 4 fours. Using Spearman Correlation and Kruskal-Wallis Test, differences among groups were analysed in the search of behavioural changes among different types of reviewers. Findings – We conclude that social TV influence fake online reviews of restaurants that were involved in a tv show. Furthermore, we were able to verify that some reviewers indeed assess the service without indeed having tried the service, which strongly bias the influence they are going to cause in potential consumers. Four types of reviewers were identified: the real expert, the amateur reviewer, the speculator and the pseudo expert. The 2 latter types are analyzed through the anthropologic lens of the popular Brazilian culture and the TV influence in that country. Research limitations/implications – we were able to understand how TV can influence the construction of fake online reviews for restaurants. Practical implications – It is important for the restaurant and hospitality industry in general, to be able to be attentive to the phenomenon of fake reviews that can totally biased the advantages of this assessment system that was created to produce trust among consumers, but that can act exactly the other way around. Originality/value – This study highlights the relevance of taking into account cultural background of the country where the restaurant is located, as well as emphasizing the relevance of conducting a previous analysis of the decision of embarking on a reality show that it has high chances to biasedly influence consumers’ decisions.


2018 ◽  
Vol 7 (9) ◽  
pp. 376 ◽  
Author(s):  
Sohrab Rahimi ◽  
Sam Mottahedi ◽  
Xi Liu

This study aims to put forth a new method to study the sociospatial boundaries by using georeferenced community-authored reviews for restaurants. In this study, we show that food choice, drink choice, and restaurant ambience can be good indicators of socioeconomic status of the ambient population in different neighborhoods. To this end, we use Yelp user reviews to distinguish different neighborhoods in terms of their food purchases and identify resultant boundaries in 10 North American metropolitan areas. This dataset includes restaurant reviews as well as a limited number of user check-ins and rating in those cities. We use Natural Language Processing (NLP) techniques to select a set of potential features pertaining to food, drink and ambience from Yelp user comments for each geolocated restaurant. We then select those features which determine one’s choice of restaurant and the rating that he/she provides for that restaurant. After identifying these features, we identify neighborhoods where similar taste is practiced. We show that neighborhoods identified through our method show statistically significant differences based on demographic factors such as income, racial composition, and education. We suggest that this method helps urban planners to understand the social dynamics of contemporary cities in absence of information on service-oriented cultural characteristics of urban communities.


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