Filipo Sharevski (DePaul University)

Learning how people deal with misinformation on social media is relatively new line of inquiry as so far the research has focused on narrow information manipulation interventions. As the dissemination and/or discernment of falsehoods is uniquely driven by users’ identity and self-representation on social media, the inquiry into the misinformation “folklore” entails careful balancing between extracting users’ actual behavior traits and ensuring face-saving and dignified participation. In this talk, I will cover the strategies employed in inquires regarding users’ dealings with misinformation on both mainstream platforms (e.g. Twitter, TikTok) and alternative platforms (e.g. Gettr) that rest of substantive data-driven analysis of the platform and/or misinformation issue of interest, pilot testing, and nuanced phenomenological observations. Misinformation as a topic enables abundant social media data to append the analysis of the qualitative user responses, so. I will also cover mixed analytical approaches that enrich the overall human-subject inquiry on social media misinformation.

Speaker's Biography

Dr. Filipo Sharevski is an associate professor of cybersecurity at DePaul University and the director of the Adversarial Cybersecurity Automation Lab. His main research interest is focused on information manipulation as it unfolds across cyberspace, particularly materialized through m/disinformation campaigns on social media, social engineering, adversarial machine learning, as well as usable security ergonomics. He regularly publishes in relevant cybersecurity venues, actively participates in the ACM and IEEE associations, and holds leadership positions in scientific communities focused on creating meaningful and equitable pathways of cybersecurity education. Dr. Sharevski earned the PhD degree in interdisciplinary information security at Purdue University, CERIAS in 2015.

View More Papers

Automata-Based Automated Detection of State Machine Bugs in Protocol...

Paul Fiterau-Brostean (Uppsala University, Sweden), Bengt Jonsson (Uppsala University, Sweden), Konstantinos Sagonas (Uppsala University, Sweden and National Technical University of Athens, Greece), Fredrik Tåquist (Uppsala University, Sweden)

Read More

GPS Spoofing Attack Detection on Intersection Movement Assist using...

Jun Ying (Purdue University), Yiheng Feng (Purdue University), Qi Alfred Chen (University of California, Irvine), Z. Morley Mao (University of Michigan)

Read More

Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep...

Christoph Sendner (University of Wuerzburg), Huili Chen (University of California San Diego), Hossein Fereidooni (Technische Universität Darmstadt), Lukas Petzi (University of Wuerzburg), Jan König (University of Wuerzburg), Jasper Stang (University of Wuerzburg), Alexandra Dmitrienko (University of Wuerzburg), Ahmad-Reza Sadeghi (Technical University of Darmstadt), Farinaz Koushanfar (University of California San Diego)

Read More

A Robust Counting Sketch for Data Plane Intrusion Detection

Sian Kim (Ewha Womans University), Changhun Jung (Ewha Womans University), RhongHo Jang (Wayne State University), David Mohaisen (University of Central Florida), DaeHun Nyang (Ewha Womans University)

Read More