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Research Articles

Digital geographies of everyday multiculturalism: ‘Let’s go Nando’s!’

ORCID Icon, ORCID Icon & ORCID Icon
Pages 1458-1477 | Received 04 May 2021, Accepted 11 Feb 2022, Published online: 25 Apr 2022

Figures & data

Figure 1. Devoured this Nandos plate in 4 seconds.

Figure 1. Devoured this Nandos plate in 4 seconds.

Figure 2. Temporal distribution of tweets geo-tagged in Leicester, about Nando’s (left) and not about Nando’s (right) aggregated by hour of the week.

Figure 2. Temporal distribution of tweets geo-tagged in Leicester, about Nando’s (left) and not about Nando’s (right) aggregated by hour of the week.

Figure 3. Algorithmic sentiment analysis of tweets geo-tagged in Leicester, about Nando’s, in Nando’s (top) and elsewhere (bottom), conducted in R using the sentimentr library (https://github.com/trinker/sentimentr). Values above zero indicate the algorithm has estimated a positive sentiment; values below zero indicate a negative sentiment; zero values indicate a neutral or undefined sentiment.

Figure 3. Algorithmic sentiment analysis of tweets geo-tagged in Leicester, about Nando’s, in Nando’s (top) and elsewhere (bottom), conducted in R using the sentimentr library (https://github.com/trinker/sentimentr). Values above zero indicate the algorithm has estimated a positive sentiment; values below zero indicate a negative sentiment; zero values indicate a neutral or undefined sentiment.

Figure 4. Word-cloud generated from the text of tweets geo-tagged in Leicester, about Nando’s. The words ‘nando’, ‘nandos’, ‘nando’s’, ‘leicester’, ‘leicestershire’ have been excluded as their frequency would have rendered them too large for the visualization.

Figure 4. Word-cloud generated from the text of tweets geo-tagged in Leicester, about Nando’s. The words ‘nando’, ‘nandos’, ‘nando’s’, ‘leicester’, ‘leicestershire’ have been excluded as their frequency would have rendered them too large for the visualization.