15 citations · 30 across the 13 of their papers we have counts for
20 papers
Meaningful Context, a Red Flag, or Both? Users' Preferences for Enhanced Misinformation Warnings on Twitter
Filipo Sharevski, Amy Devine, Emma Pieroni +1
Warning users about misinformation on social media is not a simple usability task. Soft moderation has to balance between debunking falsehoods and avoiding moderation bias while pr…
Gone Quishing: A Field Study of Phishing with Malicious QR Codes
Filipo Sharevski, Amy Devine, Emma Pieroni +1
The COVID-19 pandemic enabled "quishing", or phishing with malicious QR codes, as they became a convenient go-between for sharing URLs, including malicious ones. To explore the qui…
"Gettr-ing" Deep Insights from the Social Network Gettr
Filipo Sharevski, Peter Jachim, Emma Pieroni +1
As yet another alternative social network, Gettr positions itself as the "marketplace of ideas" where users should expect the truth to emerge without any administrative censorship.…
Parlermonium: A Data-Driven UX Design Evaluation of the Parler Platform
Emma Pieroni, Peter Jachim, Nathaniel Jachim +1
This paper evaluates Parler, the controversial social media platform, from two seemingly orthogonal perspectives: UX design perspective and data science. UX design researchers expl…
"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 +1
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 un…
Two Truths and a Lie: Exploring Soft Moderation of COVID-19 Misinformation with Amazon Alexa
Donald Gover, Filipo Sharevski
In this paper, we analyzed the perceived accuracy of COVID-19 vaccine Tweets when they were spoken back by a third-party Amazon Alexa skill. We mimicked the soft moderation that Tw…