15 citations · 38 across the 11 of their papers we have counts for
12 papers
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…
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.…