15 citations · 30 across the 12 of their papers we have counts for
7 papers · 1 filter
'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…
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…
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…