2020
DOI: 10.12783/dtssehs/icesd2020/34054
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Linguistic Landscapes of Gentrified Localities: A Case Study of China

Abstract: China is experiencing a rapid development in all aspects of its social life, and gentrification is one of the consequences of its global integration. The paper reveals how linguistic landscapes change under the influence of gentrification and aims to prove that localities are being scaled up in both global and second-tier cities. The authors examine commercial signs, advertisements and referential signs of gentrified localities in Beijing, Shenyang and Harbin and present them in a comparative analysis, which e… Show more

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“…In sociolinguistics field, urban linguistic landscape studies examine visible written languages in urban areas (Landry & Bourhis, 1997). Urban linguistic landscape research can reveal socio-economic information, such as the place identity of minority groups (Leeman & Modan, 2009;Manan et al, 2015) ,the localization processes of exotic language varieties (Backhaus, 2006;Manan et al, 2017) and the degree of gentrification (Lou, 2010;Papen, 2012;Shcherbakov & Bagirova, 2020). However, most studies mainly utilize qualitative analysis or small-scale image acquisition without integrating urban street views and socioeconomic quantitative analysis (Backhaus, 2007;Ma et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In sociolinguistics field, urban linguistic landscape studies examine visible written languages in urban areas (Landry & Bourhis, 1997). Urban linguistic landscape research can reveal socio-economic information, such as the place identity of minority groups (Leeman & Modan, 2009;Manan et al, 2015) ,the localization processes of exotic language varieties (Backhaus, 2006;Manan et al, 2017) and the degree of gentrification (Lou, 2010;Papen, 2012;Shcherbakov & Bagirova, 2020). However, most studies mainly utilize qualitative analysis or small-scale image acquisition without integrating urban street views and socioeconomic quantitative analysis (Backhaus, 2007;Ma et al, 2019).…”
Section: Introductionmentioning
confidence: 99%