Trust and COVID-19

Fell, Lauren

doi:10.1145/3428472

Cited by 14 publications

(7 citation statements)

References 20 publications

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“…Comparing these data with those obtained before the COVID-19 pandemic, it is shown that faces were rated as less trustworthy in the No-Mask condition compared to the Pre-COVID condition. This result is in line with recent studies that documented the negative impact of the COVID-19 outbreak on trust levels [ 49 ]. There was no significant difference between Mask and Pre-COVID conditions.…”

Section: Study 1—trustworthinesssupporting

confidence: 92%

With or without the Mask: Age Differences in Perceived Trustworthiness and Health during the COVID-19 Pandemic

Crosta

Ceccato

Bartolini

et al. 2023

Behavioral Sciences

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The COVID-19 pandemic and the obligation to wear surgical face masks have affected social interactions. Wearing a mask can cause impairments in face identification, emotion recognition, and trait impressions. The present study investigated, during the COVID-19 period, age-related differences in perceived trustworthiness (Study 1) and health (Study 2) when viewing faces with or without masks. Younger (YAs, 18–35 years) and older (OAs, over 65 years) adults’ ratings were compared. Through a web-based platform, a series of neutral younger and older faces (YFs vs. OFs) were presented, on a computer screen, with or without a mask (Mask vs. No-Mask), and participants were asked to rate them on a 7-point scale. Furthermore, data collected during the pandemic (Mask and No-Mask conditions) were compared with ratings obtained before it (Pre-COVID condition). Perceived trustworthiness was lower in the No-Mask condition for both age groups compared to Mask and Pre-COVID conditions, which did not differ. For health ratings, no differences emerged for OAs between the conditions, whereas YAs’ ratings were lower in both the Mask and No-Mask conditions compared to the Pre-COVID condition. The fear of contracting COVID-19 affected both trustworthiness and health ratings. Wearing a surgical face mask affects trait impressions for YAs and OAs, partly due to the fear of COVID-19. Trait impressions are also influenced by the age of the face to be evaluated.

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Section: Study 1—trustworthinesssupporting

confidence: 92%

With or without the Mask: Age Differences in Perceived Trustworthiness and Health during the COVID-19 Pandemic

Crosta

Ceccato

Bartolini

et al. 2023

Behavioral Sciences

View full text Add to dashboard Cite

show abstract

“…A patient may share specific dosing information that is not generally applicable [34]. It could also affect the trust between individuals and health authorities [39]. Moreover, it could cause beliefs of incorrect linkages between vaccines and diseases, and limit treatment options or preventive behaviors [40,41].…”

Section: Health Misinformationmentioning

confidence: 99%

Machine Learning in Detecting COVID-19 Misinformation on Twitter

Alenezi

AlQenaei

2021

Future Internet

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Social media platforms such as Facebook, Instagram, and Twitter are an inevitable part of our daily lives. These social media platforms are effective tools for disseminating news, photos, and other types of information. In addition to the positives of the convenience of these platforms, they are often used for propagating malicious data or information. This misinformation may misguide users and even have dangerous impact on society’s culture, economics, and healthcare. The propagation of this enormous amount of misinformation is difficult to counter. Hence, the spread of misinformation related to the COVID-19 pandemic, and its treatment and vaccination may lead to severe challenges for each country’s frontline workers. Therefore, it is essential to build an effective machine-learning (ML) misinformation-detection model for identifying the misinformation regarding COVID-19. In this paper, we propose three effective misinformation detection models. The proposed models are long short-term memory (LSTM) networks, which is a special type of RNN; a multichannel convolutional neural network (MC-CNN); and k-nearest neighbors (KNN). Simulations were conducted to evaluate the performance of the proposed models in terms of various evaluation metrics. The proposed models obtained superior results to those from the literature.

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“…Therefore, information-based trust should be developed, and mainstream information need to ensure reliability during the pandemic. According to Fell [49], governments should play a key role toward improving trust through their transparent information provision to the public.…”

Section: Trustworthy Communication and Social Involvement In The Cris...mentioning

confidence: 99%

Destination Responses to COVID-19 Waves: Is “Green Zone” Initiative a Holy Grail for Tourism Recovery?

et al. 2022

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Despite the stagnant status of the tourism industry due to the COVID-19 pandemic, the efforts to reopen the tourism destinations as green zones in Vietnam have paid off with some encouraging achievements. This inspires other green zones to consider a more adaptive approach to the ongoing pandemic crisis. However, little is known about the pandemic crisis management and tourism destination recovery. Therefore, this study selected Can Tho city as a case study to explore how a tourism destination as a green zone can recover during pandemic waves. Different methods were utilized in this study, including document analysis, field observation, and semi-structured interview. The findings generally indicate that a green zone could recover their tourism business under the impact of the COVID-19 pandemic. The findings highlight the critical relationship among key stakeholders and the leading role of the central government toward pandemic prevention and control. The early response to the crisis from the local governments was found to be decisive, and the policy-related measures facilitated the removal of potential barriers and alleviated the crisis consequences. In addition, the involvement of the tourism industry in an adaptive way has contributed to the quick recovery of the green zones’ tourism business. Importantly, the adaptive transformation from the tourism enterprises in a visionary way was found to be essential to the empowerment of their organizational resilience during the pandemic crisis. The lessons learnt from this study also bring valuable experiences for other tourism destinations and elicit a new approach to co-living with the ongoing pandemic in a sustainable way. Theoretically, this study provides a better understanding of tourism management and destination recovery during the global pandemic crisis. In addition, the research also adds many important practical implications for the tourism industry and the related stakeholders to foster tourism revitalization during and after the pandemic in a more sustainable way.

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Trust and COVID-19

Cited by 14 publications

References 20 publications

With or without the Mask: Age Differences in Perceived Trustworthiness and Health during the COVID-19 Pandemic

With or without the Mask: Age Differences in Perceived Trustworthiness and Health during the COVID-19 Pandemic

Machine Learning in Detecting COVID-19 Misinformation on Twitter

Destination Responses to COVID-19 Waves: Is “Green Zone” Initiative a Holy Grail for Tourism Recovery?

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