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20202023
most citedMisinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes

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

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6 papers · 1 filter

cs.SI2023★ 6 cited

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…

cs.SI2022

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…

cs.SI2022★ 1 cited

"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.…

cs.SI2021

(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…

cs.SI2021★ 4 cited

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…

cs.SI2021★ 15 cited

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…