Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Jachim, Peter"'
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 misinformation is on social media, platforms do bear some debunking r
Externí odkaz:
http://arxiv.org/abs/2412.04999
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 responses, though somewhat vague and confusing, nonetheless recommended co
Externí odkaz:
http://arxiv.org/abs/2303.13524
The scientific effort devoted to health misinformation mostly focuses on the implications of misleading vaccines and communicable disease claims with respect to public health. However, the proliferation of abortion misinformation following the Suprem
Externí odkaz:
http://arxiv.org/abs/2301.05128
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 misinformation does not investigate how ordinary users - the target of misinformati
Externí odkaz:
http://arxiv.org/abs/2207.12589
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 quishing phenomenon, we conducted a 173-participant study where we used a
Externí odkaz:
http://arxiv.org/abs/2204.04086
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. We looked deep inside the platform by analyzing it's structure, a sam
Externí odkaz:
http://arxiv.org/abs/2204.04066
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 efficacy; and (b) mass immunization efforts in the United States. Misp
Externí odkaz:
http://arxiv.org/abs/2111.05815
This paper evaluates Parler, the controversial social media platform, from two seemingly orthogonal perspectives: UX design perspective and data science. UX design researchers explore how users react to the interface/content of their social media fee
Externí odkaz:
http://arxiv.org/abs/2106.00163
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 unverified content, allowing for use of third-party malicious skills to
Externí odkaz:
http://arxiv.org/abs/2105.07854
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 conservative-leaning agenda. The Out-of-Context Summarizer also suggests hashtag
Externí odkaz:
http://arxiv.org/abs/2104.00782