2021
DOI: 10.48550/arxiv.2105.07854
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"Hey Alexa, What do You Know About the COVID-19 Vaccine?" -- (Mis)perceptions of Mass Immunization Among Voice Assistant Users

Filipo Sharevski,
Anna Slowinski,
Peter Jachim
et al.

Abstract: In this paper, we analyzed the perceived accuracy of COVID-19 vaccine information spoken back by Amazon Alexa. Unlike social media, Amazon Alexa doesn't apply soft moderation to unverified content, allowing for use of third-party malicious skills to arbitrarily phrase COVID-19 vaccine information. The results from a 210-participant study suggest that a third-party malicious skill could successful reduce the perceived accuracy among the users of information as to who gets the vaccine first, vaccine testing, and… Show more

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“…Sharevski et al [37] conducted a user study demonstrating the influence of a pseudo-malicious Alexa Skill ('Malexa') that rewords RSS news feeds before delivering them to a listener. In another paper reporting results of another user study focussing specifically on COVID-19 vaccine information, Sharevski et al [38] demonstrate the potential for users to be influenced by rewording of some types of information relating to the vaccine by a malicious Alexa Skill. Whilst these studies use simulated experimental set-ups to assess the potential effect of misinformation in third-party voice applications, our work seeks to identify actual instances of such content 'in the wild'.…”
Section: Related Workmentioning
confidence: 99%
“…Sharevski et al [37] conducted a user study demonstrating the influence of a pseudo-malicious Alexa Skill ('Malexa') that rewords RSS news feeds before delivering them to a listener. In another paper reporting results of another user study focussing specifically on COVID-19 vaccine information, Sharevski et al [38] demonstrate the potential for users to be influenced by rewording of some types of information relating to the vaccine by a malicious Alexa Skill. Whilst these studies use simulated experimental set-ups to assess the potential effect of misinformation in third-party voice applications, our work seeks to identify actual instances of such content 'in the wild'.…”
Section: Related Workmentioning
confidence: 99%