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The influence of the COVID-19 health crisis on people's food interests, opinions, and behaviour is described in this preliminary study. The evolution of people's online searches, the characteristics of the most watched YouTube videos, and Tweeted messages in relation to COVID-19 and food were all investigated in this study. In addition, an online survey looked into changes in food purchasing habits during the lock down, the reasons for the adjustments, and the perceived dependability of media reporting. The most popular searches and YouTube videos were about knowing what COVID-19 is and how the sickness can progress and spread, according to the results. When the official declaration of a pandemic was made, trending searches for food and shopping spiked.
Data gathered from Twitter also revealed a progression from shopping worries to apprehension about the impending disaster. The results of the online survey revealed a decrease in shopping frequency but no shift in shopping location. Pasta and vegetables were the most frequently purchased products (for health reasons), while others were purchased to boost their mood (nuts, cheese, and chocolates). Reduced purchase was linked to products with a short shelf life (fish, seafood) or those that were harmful and contributed to weight gain (sugary bakery goods) or poor mood (sugary bakery goods) (desserts). Consumers regarded statements provided by specialists or scientists as the most trustworthy.
Keywords:
COVID-19, Food, Shopping, Consumers, Social media, Internet
Cite Article:
"A study on COVID-19 pandemic impact on Food and restaurants priorities utilising social media", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 5, page no.581 - 587, June-2022, Available :http://www.ijrti.org/papers/IJRTI2205099.pdf
Downloads:
000205133
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator