15 citations · 42 across the 17 of their papers we have counts for
6 papers · 1 filter
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…
Beyond Trolling: Malware-Induced Misperception Attacks on Polarized Facebook Discourse
Filipo Sharevski, Paige Treebridge, Peter Jachim +3
Social media trolling is a powerful tactic to manipulate public opinion on issues with a high moral component. Troll farms, as evidenced in the past, created fabricated content to…
Meet Malexa, Alexa's Malicious Twin: Malware-Induced Misperception Through Intelligent Voice Assistants
Filipo Sharevski, Paige Treebridge, Peter Jachim +3
This paper reports the findings of a study where users (N=220) interacted with Malexa, Alexa's malicious twin. Malexa is an intelligent voice assistant with a simple and seemingly…