2021/04/01 by Filipo Sharevski, Raniem Alsaadi, Sharevski, Filipo +5 · 1 voice · 2 citations
Computer Science · Social Sciences · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Misinformation and Its Impacts #Social and Information Networks (cs.SI) #Vaccine Coverage and Hesitancy #cs.CR #cs.SI
paper · pdf · doi:10.48550/arxiv.2104.00779
arxiv created 2021/04/01 · openalex publication_date 2021/04/01 · arxiv published 2021/04/01 · arxiv updated 2021/04/05 · openalex created_date 2021/04/13 · openalex updated_date 2026/07/28
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 two forms: as a warning cover before the Tweet is displayed to the user and as a warning tag below the Tweet. This study investigates how each of the soft moderation forms affects the perceived accuracy of COVID-19 vaccine misinformation on Twitter. The results suggest that the warning covers work, but not the tags, in reducing the perception of accuracy of COVID-19 vaccine misinformation on Twitter. "Belief echoes" do exist among Twitter users, unfettered by any warning labels, in relationship to the perceived safety and efficacy of the COVID-19 vaccine as well as the vaccination hesitancy for themselves and their children. The implications of these results are discussed in the context of usable security affordances for combating misinformation on social media.