15 citations · 42 across the 17 of their papers we have counts for
5 papers · 1 filter
(Mis)perceptions and Engagement on Twitter: COVID-19 Vaccine Rumors on Efficacy and Mass Immunization Effort
Filipo Sharevski, Allice Huff, Peter Jachim +1
This paper reports the findings of a 606-participant study where we analyzed the perception and engagement effects of COVID-19 vaccine rumours on Twitter pertaining to (a) vaccine…
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…
"TL;DR:" Out-of-Context Adversarial Text Summarization and Hashtag Recommendation
Peter Jachim, Filipo Sharevski, Emma Pieroni
This paper presents Out-of-Context Summarizer, a tool that takes arbitrary public news articles out of context by summarizing them to coherently fit either a liberal- or conservati…
Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes
Filipo Sharevski, Raniem Alsaadi, Peter Jachim +1
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 t…