15 citations · 60 across the 31 of their papers we have counts for
32 papers
How Blind and Low-Vision Users Manage Their Passwords
Alexander Ponticello, Filipo Sharevski, Simon Anell +1
Managing passwords securely and conveniently is still an open problem for many users. Existing research has examined users' password management strategies and identified pain point…
'Debunk-It-Yourself': Health Professionals' Strategies for Responding to Misinformation on TikTok
Filipo Sharevski, Jennifer Vander Loop, Amy Devine +2
Misinformation is "sticky" in nature, requiring a considerable effort to undo its influence. One such effort is debunking or exposing the falsity of information. As an abundance of…
(Blind) Users Really Do Heed Aural Telephone Scam Warnings
Filipo Sharevski, Jennifer Vander Loop, Bill Evans +1
This paper reports on a study exploring how two groups of individuals, legally blind (n=36) and sighted ones (n=36), react to aural telephone scam warnings in naturalistic settings…
"Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets
Filipo Sharevski, Jennifer Vander Loop, Sarah Ferguson
This paper reports on a study exploring user experiences with suspicious emails and associated warnings when accessed through virtual reality (VR) headsets in realistic settings. A…
Children, Parents, and Misinformation on Social Media
Filipo Sharevski, Jennifer Vander Loop
Children encounter misinformation on social media in a similar capacity as their parents. Unlike their parents, children are an exceptionally vulnerable population because their co…
Older Adults' Experiences with Misinformation on Social Media
Filipo Sharevski, Jennifer Vander Loop
Older adults habitually encounter misinformation on social media, but there is little knowledge about their experiences with it. In this study, we combined a qualitative survey (n=…
Usability Assessment of the OnlyKey Hardware Two-Factor Authentication Key Among Low Vision or Blind Users
Aziz Zeidieh, Filipo Sharevski
Hardware security keys undoubtedly have advantage for users as "usability" pain is trivial compared to the maximum "security" gain in authentication. Naturally, the hardware factor…
Talking Abortion (Mis)information with ChatGPT on TikTok
Filipo Sharevski, Jennifer Vander Loop, Peter Jachim +2
In this study, we tested users' perception of accuracy and engagement with TikTok videos in which ChatGPT responded to prompts about "at-home" abortion remedies. The chatbot's resp…
Fight Fire with Fire: Hacktivists' Take on Social Media Misinformation
Filipo Sharevski, Benjamin Kessell
In this study, we interviewed 22 prominent hacktivists to learn their take on the increased proliferation of misinformation on social media. We found that none of them welcomes the…
Abortion Misinformation on TikTok: Rampant Content, Lax Moderation, and Vivid User Experiences
Filipo Sharevski, Jennifer Vander Loop, Peter Jachim +2
The scientific effort devoted to health misinformation mostly focuses on the implications of misleading vaccines and communicable disease claims with respect to public health. Howe…
Folk Models of Misinformation on Social Media
Filipo Sharevski, Amy Devine, Emma Pieroni +1
In this paper we investigate what folk models of misinformation exist through semi-structured interviews with a sample of 235 social media users. Work on social media misinformatio…
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.…
(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…
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…
"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…
TrollHunter2020: Real-Time Detection of Trolling Narratives on Twitter During the 2020 US Elections
Peter Jachim, Filipo Sharevski, Emma Pieroni
This paper presents TrollHunter2020, a real-time detection mechanism we used to hunt for trolling narratives on Twitter during the 2020 U.S. elections. Trolling narratives form on…
TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic
Peter Jachim, Filipo Sharevski, Paige Treebridge
This paper presents TrollHunter, an automated reasoning mechanism we used to hunt for trolls on Twitter during the COVID-19 pandemic in 2020. Trolls, poised to disrupt the online d…
WikipediaBot: Automated Adversarial Manipulation of Wikipedia Articles
Filipo Sharevski, Peter Jachim
This paper presents an automated adversarial mechanism called WikipediaBot. WikipediaBot allows an adversary to create and control a bot infrastructure for the purpose of adversari…
To Tweet or Not to Tweet: Covertly Manipulating a Twitter Debate on Vaccines Using Malware-Induced Misperceptions
Filipo Sharevski, Peter Jachim, Kevin Florek
Trolling and social bots have been proven as powerful tactics for manipulating the public opinion and sowing discord among Twitter users. This effort requires substantial content f…