Quantifying the Effects of COVID-19 on Restaurant Reviews

Cao, Ivy; Liu, Zizhou; Karamanolakis, Giannis; Hsu, Daniel; Gravano, Luis

doi:10.18653/v1/2021.socialnlp-1.4

Cited by 7 publications

(5 citation statements)

References 18 publications

(19 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The COVID-19 pandemic created many complications beyond the spread of viruses and food-borne illnesses that have affected physical health. Thus, it is very important for governments to control the spread of the virus by implementing strict rules regarding public gatherings, especially in restaurants and other foodservice establishments [39]. It is notable that the current study showed that a significant proportion of employees at foodservice establishments did not believe that these restrictions and regulations improved food safety conditions and they had not noticed any improvements regarding food safety in their establishments since the pandemic began.…”

Section: Discussionmentioning

confidence: 60%

The Effect of the Knowledge, Attitude, and Behavior of Workers Regarding COVID-19 Precautionary Measures on Food Safety at Foodservice Establishments in Jordan

et al. 2022

View full text Add to dashboard Cite

The novel coronavirus (COVID-19) pandemic has caused sequential ripples of public health concern worldwide. Restaurant owners and workers have been significantly affected by safety regulations which have governed the activities of both employees and consumers. The objective of this study was to investigate the knowledge, attitude, and practices (KAP) of restaurant owners and workers in the context of COVID-19 and assess the effect of COVID-19 precautions on the implementation of food safety measures at foodservice establishments in Jordan. A cross-sectional survey was conducted that involved 605 participants from 91 restaurants and catering establishments in Jordan. The questionnaire was filled out during a face-to-face interview or via online platforms. Most (77%) of the respondents were male and under 35 years old (79%), with 42% of them having a high educational level (bachelor’s degree or postgraduate studies) and 46% having 1–5 years of work experience. It was found that only 20% of workers possessed good knowledge (scores above 75%), 56% had positive attitudes, and 55% had good practices, with a mean of 47% being compliant with the KAP levels expected. In total, 19 to 34% of participants observed that the precautions and preventive measures put in place during the pandemic improved the application of key food safety regulations within their workplaces. It is evident that more training is required for both employees and employers to ensure the effective implementation of the regulations required to prevent the spread of COVID-19 and food-borne pathogens via the application of good hygienic practices that improve food safety, reducing illnesses and food waste while maintaining food security and economic sustainability.

show abstract

Section: Discussionmentioning

confidence: 60%

The Effect of the Knowledge, Attitude, and Behavior of Workers Regarding COVID-19 Precautionary Measures on Food Safety at Foodservice Establishments in Jordan

et al. 2022

View full text Add to dashboard Cite

show abstract

“…We model the expected WELLBEING of a city's subreddit using the Prophet model (Taylor and Letham 2018) trained on data prior to March 2020 (Jan. 1, 2017-Feb. 29, 2020; this model has been used in prior work on the impacts of COVID-19 on social media forums (Biester et al 2021;Cao et al 2021). The model fits the equation…”

Section: Measuring Resiliencementioning

confidence: 99%

We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience

Dong¹,

Sun

Biester

et al. 2023

ICWSM

View full text Add to dashboard Cite

The COVID-19 pandemic disrupted everyone's life across the world. In this work, we characterize the subjective wellbeing patterns of 112 cities across the United States during the pandemic prior to vaccine availability, as exhibited in subreddits corresponding to the cities. We quantify subjective wellbeing using positive and negative affect. We then measure the pandemic's impact by comparing a community's observed wellbeing with its expected wellbeing, as forecasted by time series models derived from prior to the pandemic. We show that general community traits reflected in language can be predictive of community resilience. We predict how the pandemic would impact the wellbeing of each community based on linguistic and interaction features from normal times before the pandemic. We find that communities with interaction characteristics corresponding to more closely connected users and higher engagement were less likely to be significantly impacted. Notably, we find that communities that talked more about social ties normally experienced in-person, such as friends, family, and affiliations, were actually more likely to be impacted. Additionally, we use the same features to also predict how quickly each community would recover after the initial onset of the pandemic. We similarly find that communities that talked more about family, affiliations, and identifying as part of a group had a slower recovery.

show abstract

“… Jia (2021) indicated that customers become calm when they are in line, a situation that causes a negative influence in normal periods. Cao et al (2021) extracted 3.1 million online reviews, utilized methods of sentiment analysis and topic modeling, and discovered that more than 10% of online reviews included COVID-associated keywords and that the prevalence of COVID-associated factors (e.g., mask, social distancing, and hygiene) raised during the COVID-19 pandemic, while the prevalence of other factors decreased. Luo and Xu (2021) analyzed 112,412 Yelp reviews posted during the crisis by applying methods of sentiment analysis and keyword analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring user-generated content related to vegetarian customers in restaurants: An analysis of online reviews

Bai

Zheng²,

Han³

et al. 2023

Front. Psychol.

View full text Add to dashboard Cite

This study aimed to explore and evaluate factors that impact the dining experience of vegetarian consumers within a range of vegetarian-friendly restaurants. To explore the factors and understand consumer experience, this study analyzed a vast number of user-generated contents of vegetarian consumers, which have become vital sources of consumer experience information. This study utilized machine-learning techniques and traditional methods to examine 54,299 TripAdvisor reviews of approximately 1,008 vegetarian-friendly restaurants in London. The study identified 21 topics that represent a holistic opinion influencing the dining experience of vegetarian customers. The results suggested that “value” is the most popular topic and had the highest topic percentage. The results of regression analyses revealed that five topics had a significant impact on restaurant ratings, while 12 topics had negative impacts. Restaurant managers who pay close attention to vegetarian aspects may utilize the findings of this study to satisfy vegetarian consumer requirements better and enhance service operations.

show abstract

Quantifying the Effects of COVID-19 on Restaurant Reviews

Cited by 7 publications

References 18 publications

The Effect of the Knowledge, Attitude, and Behavior of Workers Regarding COVID-19 Precautionary Measures on Food Safety at Foodservice Establishments in Jordan

The Effect of the Knowledge, Attitude, and Behavior of Workers Regarding COVID-19 Precautionary Measures on Food Safety at Foodservice Establishments in Jordan

We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience

Exploring user-generated content related to vegetarian customers in restaurants: An analysis of online reviews

Contact Info

Product

Resources

About