“Hey Alexa, what do you know about the COVID-19 vaccine?”— (Mis)perceptions of mass immunization and voice assistants

Sharevski, Filipo; Slowinski, Anna; Jachim, Peter; Pieroni, Emma

doi:10.1016/j.iot.2022.100566

Cited by 7 publications

(10 citation statements)

References 19 publications

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“…During the COVID-19 outbreak, misinformation and rumors spread rapidly due to the lack of easily accessible and reliable information from approved sources [37,40]. Some AI chatbots were developed to ghting this problem by providing reliable information and identifying rumors and fake news [28,35]. Dissemination of up-to-date, reliable, correct and generally high-quality can be effective in the usefulness of chatbots.…”

Section: Discussionmentioning

confidence: 99%

“…4) Combating misinformation and fake news 7 of 17 AI chatbots were able to combat misinformation and fake news about COVID-19. These chatbots provide users with reliable and accurate information such as up to date statistical information, best practices and health protocols [28,35]. These chatbots monitor and identify misinformation and rumors about COVID-19 and prevent its further spread by alerting users.…”

Section: ) Connect To Health Centersmentioning

confidence: 99%

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Artificial Intelligence Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review

Mahdavi

Amanzadeh

Hamedan

et al. 2023

Preprint

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Background: Artificial intelligence (AI) Chatbots are computer programs that simulate human conversation and use artificial intelligence including machine learning and natural language processing to interact with users via natural language. With the outbreak of the COVID-19 pandemic, the use of digital health technologies such as chatbot has accelerated. This study aimed to investigate the application of AI chatbots in combating COVID-19 pandemic and to explore their features. Methods: We reviewed of literature on health chatbots during the COVID-19 pandemic. PubMed, Scopus, Web of Science and Google Scholar were searched by using related keywords such as "chatbot", “conversational agent” and “Artificial intelligence”. To select the relevant articles, we conducted title, abstract, and full-text screening based on inclusion/exclusion criteria. Chatbots, their applications and design features were extracted from selected articles. Results: Out of 673 articles initially identified, 17 articles were eligible for inclusion. We categorized selected AI chatbots based on their roles, applications and design characteristics. 70% of chatbots had preventive role. Our review identified 8 key applications of the AI chatbots during the COVID-19 pandemic that includes: 1) information dissemination and education 2) self-assessment and screening 3) connect to health centers 4) combating misinformation and fake news 5) patients tracking and service delivery 6) mental health 7) monitoring exposure 8) vaccine information and scheduler. AI chatbots were deployed on various platforms including mobile apps, web and social media. Mobile-based chatbots were the most frequent. All of chatbots use NLU methods to understand natural language input and act on the user’s request. More than 50% of AI chatbots were used NLU platforms including Google Dialogflow, Rasa framework and IBM Watson. Conclusion: The AI chatbots can play an effective role to combat COVID-19 pandemic. Increasing people's awareness, optimal use of health resources, reducing unnecessary encounters are some advantages of using AI chatbots during COVID-19 outbreak. Using NLU platforms can be a suitable solution in the development of AI chatbots in healthcare domain. With advancement of Artificial intelligence field, it seems that AI chatbots will mark a bright future in healthcare specially in public health, chronic diseases management and mental health.

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Section: Discussionmentioning

confidence: 99%

Section: ) Connect To Health Centersmentioning

confidence: 99%

Artificial Intelligence Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review

Mahdavi

Amanzadeh

Hamedan

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The characteristics of 17 chatbots are presented in Table 2. Fourteen chatbots (88.2%) were programmed to converse in English (7,(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37). Four chatbots were bilingual and supported languages such as French, Italian, Vietnamese, and Indian in addition to English.…”

Section: Chatbots Characteristicsmentioning

confidence: 99%

“…The most common application of AI chatbots was disseminating information and providing education related to COVID-19 (13 cases) (7,25,27,29,30,(33)(34)(35)(36)(37)(38)(39)(40). These chatbots provide various information, such as symptoms, disease diagnosis, disease stages, virus transmission, and the availability of healthcare services and how to access them.…”

Section: Information Dissemination and Educationmentioning

confidence: 99%

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Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review

Mahdavi,

Amanzadeh,

Hamedan

et al. 2023

Shiraz E-Med J

View full text Add to dashboard Cite

Context: Artificial intelligence (AI) Chatbots are computer programs that simulate human conversation and use artificial intelligence, including machine learning and natural language processing, to interact with users via natural language. With the outbreak of the COVID-19 pandemic, the use of digital health technologies such as chatbots has accelerated. Objectives: This study aims to investigate the application of AI chatbots in combating the COVID-19 pandemic and explore their features. Methods: We reviewed the literature on health chatbots during the COVID-19 pandemic. PubMed, Scopus, Web of Science, and Google Scholar were searched using relevant keywords such as “chatbot”, “conversational agent,” and “artificial intelligence”. To select the relevant articles, we conducted title, abstract, and full-text screening based on inclusion and exclusion criteria. Chatbots, their applications, and design features were extracted from the selected articles. Results: Out of 673 articles initially identified, 17 articles were eligible for inclusion. We categorized the selected AI chatbots based on their roles, applications, and design characteristics. Around 70% of chatbots were designed to play a preventive role. Our review identified 8 key applications of the AI chatbots during the COVID-19 pandemic, which include (1) information dissemination and education, (2) self-assessment and screening, (3) connecting to health centers, (4) combating misinformation and fake news, (5) patient tracking and service delivery (6) mental health (7) monitoring exposure (8) vaccine information and scheduling. AI chatbots were deployed on various platforms, including mobile apps, web, and social media. Mobile-based chatbots were the most frequent. All chatbots used Natural Language Understanding (NLU) methods to understand natural language input and act on the user’s request. More than 50% of AI chatbots used NLU platforms, including Google Dialogflow, Rasa framework, and IBM Watson. Conclusions: AI chatbots can play an effective role in combating the COVID-19 pandemic. Increasing people’s awareness, optimizing the use of health resources, and reducing unnecessary encounters are some of the advantages of using AI chatbots during the COVID-19 outbreak. Using NLU platforms can be a suitable solution for developing AI chatbots in the healthcare domain. With advancements in the field of artificial intelligence, it seems that AI chatbots will have a promising future in healthcare, particularly in public health, chronic disease management, and mental health.

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Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes

Sharevski

Alsaadi

Jachim

et al. 2022

Computers & Security

Self Cite

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Twitter, prompted by the rapid spread of alternative narratives, started actively warning users about the spread of COVID-19 misinformation. This form of soft moderation comes in two forms: as an interstitial cover before the Tweet is displayed to the user or as a contextual tag displayed below the Tweet. We conducted a 319-participants study with both verified and misleading Tweets covered or tagged with the COVID-19 misinformation warnings to investigate how Twitter users perceive the accuracy of COVID-19 vaccine content on Twitter. The results suggest that the interstitial covers work, but not the contextual tags, in reducing the perceived accuracy of COVID-19 misinformation. Soft moderation is known to create so-called ”belief echoes” where the warnings echo back, instead of dispelling, preexisting beliefs about morally-charged topics. We found that such “belief echoes” do exist among Twitter users in relationship to the perceived safety and efficacy of the COVID-19 vaccine as well as the vaccination hesitancy for themselves and their children. These “belief echoes” manifested as skepticism of adequate COVID-19 immunization particularly among Republicans and Independents as well as female Twitter users. Surprisingly, we found that the belief echoes are strong enough to preclude adult Twitter users to receive the COVID-19 vaccine regardless of their education level.

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“Hey Alexa, what do you know about the COVID-19 vaccine?”— (Mis)perceptions of mass immunization and voice assistants

Cited by 7 publications

References 19 publications

Artificial Intelligence Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review

Artificial Intelligence Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review

Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review

Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes

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